├── .gitignore
├── .vscode
    └── settings.json
├── Cargo.lock
├── Cargo.toml
├── LICENSE.txt
├── benches
    └── sa_placer_benchmark.rs
├── output_data
    ├── final_solution_1.png
    ├── final_solution_128.png
    ├── final_solution_16.png
    ├── final_solution_2.png
    ├── final_solution_256.png
    ├── final_solution_32.png
    ├── final_solution_4.png
    ├── final_solution_64.png
    ├── final_solution_8.png
    ├── fpga_layout.txt
    ├── fpga_layout_summary.txt
    ├── fpga_placer_history.csv
    ├── fpga_placer_history.png
    ├── fpga_placer_history_1.csv
    ├── fpga_placer_history_128.csv
    ├── fpga_placer_history_16.csv
    ├── fpga_placer_history_2.csv
    ├── fpga_placer_history_256.csv
    ├── fpga_placer_history_32.csv
    ├── fpga_placer_history_4.csv
    ├── fpga_placer_history_64.csv
    ├── fpga_placer_history_8.csv
    └── initial_solution.png
└── src
    ├── fpga_layout.rs
    ├── lib.rs
    ├── main.rs
    ├── netlist.rs
    └── placer.rs


/.gitignore:
--------------------------------------------------------------------------------
1 | /target
2 | 


--------------------------------------------------------------------------------
/.vscode/settings.json:
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 7 |         "editor.formatOnSave": true
 8 |     },
 9 |     "svg.preview.background": "transparent",
10 | }


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689 |  "unicode-ident",
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691 | 
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700 |  "rustix",
701 |  "windows-sys",
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813 |  "winapi-x86_64-pc-windows-gnu",
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853 |  "windows_aarch64_msvc",
854 |  "windows_i686_gnu",
855 |  "windows_i686_msvc",
856 |  "windows_x86_64_gnu",
857 |  "windows_x86_64_gnullvm",
858 |  "windows_x86_64_msvc",
859 | ]
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890 | 
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892 | name = "windows_x86_64_gnullvm"
893 | version = "0.52.3"
894 | source = "registry+https://github.com/rust-lang/crates.io-index"
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896 | 
897 | [[package]]
898 | name = "windows_x86_64_msvc"
899 | version = "0.52.3"
900 | source = "registry+https://github.com/rust-lang/crates.io-index"
901 | checksum = "0770833d60a970638e989b3fa9fd2bb1aaadcf88963d1659fd7d9990196ed2d6"
902 | 
903 | [[package]]
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905 | version = "0.7.32"
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907 | checksum = "74d4d3961e53fa4c9a25a8637fc2bfaf2595b3d3ae34875568a5cf64787716be"
908 | dependencies = [
909 |  "zerocopy-derive",
910 | ]
911 | 
912 | [[package]]
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915 | source = "registry+https://github.com/rust-lang/crates.io-index"
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917 | dependencies = [
918 |  "proc-macro2",
919 |  "quote",
920 |  "syn",
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922 | 


--------------------------------------------------------------------------------
/Cargo.toml:
--------------------------------------------------------------------------------
 1 | [package]
 2 | name = "sa-placer"
 3 | version = "0.1.0"
 4 | edition = "2021"
 5 | 
 6 | [lib]
 7 | name = "sa_placer_lib"
 8 | path = "src/lib.rs"
 9 | 
10 | [[bin]]
11 | name = "sa_placer"
12 | path = "src/main.rs"
13 | 
14 | # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
15 | 
16 | [dependencies]
17 | csv = "1.3.0"
18 | itertools = "0.12.1"
19 | rand = "0.8.5"
20 | rayon = "1.8.0"
21 | rustc-hash = "1.1.0"
22 | rustworkx-core = "0.14.1"
23 | tempfile = "3.8.0"
24 | 
25 | 
26 | [dev-dependencies]
27 | criterion = "0.5.1"
28 | 
29 | [[bench]]
30 | name = "sa_placer_benchmark"
31 | harness = false
32 | 


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/benches/sa_placer_benchmark.rs:
--------------------------------------------------------------------------------
 1 | use sa_placer_lib::*;
 2 | 
 3 | use criterion::{black_box, criterion_group, criterion_main, Criterion};
 4 | 
 5 | fn sa_placer_small_benchmark(c: &mut Criterion) {
 6 |     // let layout = build_simple_fpga_layout(64, 64);
 7 |     // let netlist = build_simple_netlist(300, 30, 100);
 8 |     // let initial_solution = gen_random_placement(layout, netlist);
 9 |     let layout = black_box(build_simple_fpga_layout(64, 64));
10 |     let netlist: NetlistGraph = black_box(build_simple_netlist(300, 30, 100));
11 |     let initial_solution = black_box(gen_random_placement(&layout, &netlist));
12 | 
13 |     c.bench_function("fast_sa_placer_small", |b| {
14 |         b.iter(|| fast_sa_placer(initial_solution.clone(), 500, 16, false, false))
15 |     });
16 | }
17 | 
18 | fn sa_placer_large_benchmark(c: &mut Criterion) {
19 |     let layout = build_simple_fpga_layout(200, 200);
20 |     let netlist = build_simple_netlist(1000, 50, 200);
21 |     let initial_solution = black_box(gen_random_placement(&layout, &netlist));
22 | 
23 |     c.bench_function("fast_sa_placer_large", |b| {
24 |         b.iter(|| {
25 |             fast_sa_placer(
26 |                 black_box(initial_solution.clone()),
27 |                 black_box(500),
28 |                 black_box(16),
29 |                 false,
30 |                 false,
31 |             )
32 |         })
33 |     });
34 | }
35 | 
36 | criterion_group!(
37 |     benches,
38 |     sa_placer_small_benchmark,
39 |     sa_placer_large_benchmark
40 | );
41 | criterion_main!(benches);
42 | 


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/output_data/fpga_layout_summary.txt:
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1 | FPGA Layout Summary
2 | Width: 64
3 | Height: 64
4 | CLB Count: 3472
5 | DSP Count: 0
6 | BRAM Count: 372
7 | IO Count: 248
8 | Empty Count: 4
9 | 


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/output_data/fpga_placer_history.png:
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https://raw.githubusercontent.com/stefanpie/sa-placer/e17d4ddcb96e62c3a9961477ad062814c9d84d66/output_data/fpga_placer_history.png


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/output_data/fpga_placer_history_1.csv:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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1002 | 


--------------------------------------------------------------------------------
/output_data/fpga_placer_history_2.csv:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
/output_data/fpga_placer_history_256.csv:
--------------------------------------------------------------------------------
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1002 | 


--------------------------------------------------------------------------------
/output_data/fpga_placer_history_32.csv:
--------------------------------------------------------------------------------
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1002 | 


--------------------------------------------------------------------------------
/output_data/fpga_placer_history_4.csv:
--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
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1002 | 


--------------------------------------------------------------------------------
/output_data/fpga_placer_history_8.csv:
--------------------------------------------------------------------------------
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 281 | 279,49216
 282 | 280,49164
 283 | 281,49131
 284 | 282,49088
 285 | 283,49088
 286 | 284,48916
 287 | 285,48916
 288 | 286,48878
 289 | 287,48814
 290 | 288,48734
 291 | 289,48734
 292 | 290,48590
 293 | 291,48556
 294 | 292,48556
 295 | 293,48330
 296 | 294,48330
 297 | 295,48303
 298 | 296,48252
 299 | 297,48252
 300 | 298,48053
 301 | 299,48053
 302 | 300,47957
 303 | 301,47911
 304 | 302,47863
 305 | 303,47863
 306 | 304,47863
 307 | 305,47851
 308 | 306,47817
 309 | 307,47738
 310 | 308,47600
 311 | 309,47306
 312 | 310,47306
 313 | 311,47180
 314 | 312,47180
 315 | 313,47180
 316 | 314,46912
 317 | 315,46891
 318 | 316,46753
 319 | 317,46753
 320 | 318,46753
 321 | 319,46537
 322 | 320,46477
 323 | 321,46459
 324 | 322,46397
 325 | 323,46333
 326 | 324,46333
 327 | 325,46331
 328 | 326,46217
 329 | 327,46217
 330 | 328,46163
 331 | 329,46120
 332 | 330,45982
 333 | 331,45982
 334 | 332,45868
 335 | 333,45790
 336 | 334,45710
 337 | 335,45710
 338 | 336,45710
 339 | 337,45710
 340 | 338,45710
 341 | 339,45606
 342 | 340,45473
 343 | 341,45445
 344 | 342,45372
 345 | 343,45288
 346 | 344,45038
 347 | 345,45038
 348 | 346,44398
 349 | 347,44398
 350 | 348,44316
 351 | 349,44249
 352 | 350,44249
 353 | 351,44003
 354 | 352,43845
 355 | 353,43689
 356 | 354,43473
 357 | 355,43473
 358 | 356,43473
 359 | 357,43307
 360 | 358,43307
 361 | 359,43307
 362 | 360,43171
 363 | 361,43093
 364 | 362,42883
 365 | 363,42855
 366 | 364,42855
 367 | 365,42855
 368 | 366,42855
 369 | 367,42783
 370 | 368,42740
 371 | 369,42384
 372 | 370,42384
 373 | 371,42347
 374 | 372,42037
 375 | 373,42037
 376 | 374,41997
 377 | 375,41997
 378 | 376,41997
 379 | 377,41951
 380 | 378,41899
 381 | 379,41899
 382 | 380,41807
 383 | 381,41487
 384 | 382,41474
 385 | 383,41334
 386 | 384,41318
 387 | 385,41284
 388 | 386,41254
 389 | 387,41254
 390 | 388,40842
 391 | 389,40842
 392 | 390,40712
 393 | 391,40712
 394 | 392,40712
 395 | 393,40712
 396 | 394,40682
 397 | 395,40551
 398 | 396,40551
 399 | 397,40367
 400 | 398,40367
 401 | 399,40319
 402 | 400,40319
 403 | 401,40301
 404 | 402,40301
 405 | 403,40301
 406 | 404,40225
 407 | 405,40225
 408 | 406,40225
 409 | 407,40199
 410 | 408,40151
 411 | 409,39983
 412 | 410,39880
 413 | 411,39858
 414 | 412,39858
 415 | 413,39858
 416 | 414,39858
 417 | 415,39815
 418 | 416,39815
 419 | 417,39635
 420 | 418,39403
 421 | 419,39373
 422 | 420,39186
 423 | 421,39095
 424 | 422,39095
 425 | 423,39093
 426 | 424,39093
 427 | 425,39093
 428 | 426,39079
 429 | 427,39079
 430 | 428,39079
 431 | 429,38999
 432 | 430,38957
 433 | 431,38957
 434 | 432,38957
 435 | 433,38957
 436 | 434,38935
 437 | 435,38935
 438 | 436,38935
 439 | 437,38901
 440 | 438,38901
 441 | 439,38657
 442 | 440,38549
 443 | 441,38549
 444 | 442,38549
 445 | 443,38543
 446 | 444,38531
 447 | 445,38482
 448 | 446,38450
 449 | 447,38347
 450 | 448,38347
 451 | 449,38347
 452 | 450,38343
 453 | 451,38334
 454 | 452,38334
 455 | 453,38274
 456 | 454,38274
 457 | 455,38188
 458 | 456,38182
 459 | 457,38182
 460 | 458,38182
 461 | 459,38032
 462 | 460,38012
 463 | 461,38012
 464 | 462,38004
 465 | 463,38004
 466 | 464,38004
 467 | 465,38004
 468 | 466,37948
 469 | 467,37918
 470 | 468,37918
 471 | 469,37908
 472 | 470,37896
 473 | 471,37896
 474 | 472,37896
 475 | 473,37896
 476 | 474,37896
 477 | 475,37836
 478 | 476,37835
 479 | 477,37727
 480 | 478,37727
 481 | 479,37722
 482 | 480,37722
 483 | 481,37722
 484 | 482,37722
 485 | 483,37722
 486 | 484,37640
 487 | 485,37640
 488 | 486,37640
 489 | 487,37640
 490 | 488,37640
 491 | 489,37640
 492 | 490,37640
 493 | 491,37640
 494 | 492,37620
 495 | 493,37620
 496 | 494,37586
 497 | 495,37571
 498 | 496,37571
 499 | 497,37448
 500 | 498,37446
 501 | 499,37440
 502 | 500,37344
 503 | 501,37344
 504 | 502,37341
 505 | 503,37341
 506 | 504,37341
 507 | 505,37311
 508 | 506,37295
 509 | 507,37286
 510 | 508,37270
 511 | 509,37270
 512 | 510,37270
 513 | 511,37270
 514 | 512,37270
 515 | 513,37270
 516 | 514,37234
 517 | 515,37189
 518 | 516,37098
 519 | 517,36904
 520 | 518,36892
 521 | 519,36892
 522 | 520,36892
 523 | 521,36892
 524 | 522,36885
 525 | 523,36885
 526 | 524,36867
 527 | 525,36830
 528 | 526,36806
 529 | 527,36806
 530 | 528,36722
 531 | 529,36690
 532 | 530,36662
 533 | 531,36662
 534 | 532,36662
 535 | 533,36642
 536 | 534,36642
 537 | 535,36642
 538 | 536,36500
 539 | 537,36490
 540 | 538,36490
 541 | 539,36490
 542 | 540,36477
 543 | 541,36477
 544 | 542,36477
 545 | 543,36451
 546 | 544,36433
 547 | 545,36433
 548 | 546,36433
 549 | 547,36295
 550 | 548,36295
 551 | 549,36271
 552 | 550,36271
 553 | 551,36271
 554 | 552,36243
 555 | 553,36243
 556 | 554,36243
 557 | 555,36243
 558 | 556,36243
 559 | 557,36243
 560 | 558,36087
 561 | 559,36087
 562 | 560,36087
 563 | 561,36087
 564 | 562,36087
 565 | 563,36063
 566 | 564,35964
 567 | 565,35964
 568 | 566,35955
 569 | 567,35823
 570 | 568,35704
 571 | 569,35704
 572 | 570,35704
 573 | 571,35704
 574 | 572,35704
 575 | 573,35704
 576 | 574,35676
 577 | 575,35676
 578 | 576,35676
 579 | 577,35676
 580 | 578,35649
 581 | 579,35589
 582 | 580,35589
 583 | 581,35577
 584 | 582,35483
 585 | 583,35483
 586 | 584,35483
 587 | 585,35483
 588 | 586,35483
 589 | 587,35454
 590 | 588,35132
 591 | 589,35096
 592 | 590,35096
 593 | 591,35096
 594 | 592,35068
 595 | 593,34953
 596 | 594,34953
 597 | 595,34953
 598 | 596,34953
 599 | 597,34953
 600 | 598,34953
 601 | 599,34953
 602 | 600,34953
 603 | 601,34916
 604 | 602,34916
 605 | 603,34916
 606 | 604,34916
 607 | 605,34916
 608 | 606,34916
 609 | 607,34916
 610 | 608,34916
 611 | 609,34916
 612 | 610,34916
 613 | 611,34916
 614 | 612,34916
 615 | 613,34916
 616 | 614,34916
 617 | 615,34916
 618 | 616,34910
 619 | 617,34897
 620 | 618,34897
 621 | 619,34897
 622 | 620,34873
 623 | 621,34768
 624 | 622,34764
 625 | 623,34762
 626 | 624,34762
 627 | 625,34762
 628 | 626,34648
 629 | 627,34648
 630 | 628,34648
 631 | 629,34648
 632 | 630,34648
 633 | 631,34604
 634 | 632,34604
 635 | 633,34604
 636 | 634,34604
 637 | 635,34604
 638 | 636,34604
 639 | 637,34589
 640 | 638,34589
 641 | 639,34589
 642 | 640,34581
 643 | 641,34581
 644 | 642,34581
 645 | 643,34511
 646 | 644,34511
 647 | 645,34508
 648 | 646,34508
 649 | 647,34395
 650 | 648,34373
 651 | 649,34373
 652 | 650,34331
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 654 | 652,34075
 655 | 653,34075
 656 | 654,34075
 657 | 655,34043
 658 | 656,34043
 659 | 657,34043
 660 | 658,34043
 661 | 659,34035
 662 | 660,34031
 663 | 661,34019
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 666 | 664,33971
 667 | 665,33971
 668 | 666,33971
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 670 | 668,33940
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 675 | 673,33912
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 700 | 698,33488
 701 | 699,33488
 702 | 700,33488
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 704 | 702,33488
 705 | 703,33488
 706 | 704,33252
 707 | 705,33252
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 710 | 708,33245
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 713 | 711,33183
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 720 | 718,32957
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 911 | 909,30432
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 950 | 948,29819
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 994 | 992,29534
 995 | 993,29534
 996 | 994,29534
 997 | 995,29534
 998 | 996,29534
 999 | 997,29534
1000 | 998,29534
1001 | 999,29534
1002 | 


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/output_data/initial_solution.png:
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https://raw.githubusercontent.com/stefanpie/sa-placer/e17d4ddcb96e62c3a9961477ad062814c9d84d66/output_data/initial_solution.png


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/src/fpga_layout.rs:
--------------------------------------------------------------------------------
  1 | use rustc_hash::FxHashMap;
  2 | 
  3 | #[derive(Clone, Hash, PartialEq, Eq, Debug, Copy)]
  4 | pub enum MacroType {
  5 |     CLB,
  6 |     DSP,
  7 |     BRAM,
  8 |     IO,
  9 | }
 10 | 
 11 | #[derive(Clone, Hash, PartialEq, Eq, Debug)]
 12 | pub enum FPGALayoutType {
 13 |     MacroType(MacroType),
 14 |     EMPTY,
 15 | }
 16 | 
 17 | #[derive(Eq, Hash, PartialEq, Clone, Copy, Debug)]
 18 | pub struct FPGALayoutCoordinate {
 19 |     pub x: u32,
 20 |     pub y: u32,
 21 | }
 22 | 
 23 | impl FPGALayoutCoordinate {
 24 |     pub fn new(x: u32, y: u32) -> FPGALayoutCoordinate {
 25 |         FPGALayoutCoordinate { x, y }
 26 |     }
 27 | }
 28 | 
 29 | #[derive(Debug, Clone)]
 30 | pub struct FPGALayout {
 31 |     pub map: FxHashMap<FPGALayoutCoordinate, FPGALayoutType>,
 32 |     pub width: u32,
 33 |     pub height: u32,
 34 | }
 35 | 
 36 | impl FPGALayout {
 37 |     pub fn new(width: u32, height: u32) -> FPGALayout {
 38 |         FPGALayout {
 39 |             map: FxHashMap::default(),
 40 |             width,
 41 |             height,
 42 |         }
 43 |     }
 44 | 
 45 |     pub fn config_corners(&mut self, layout_type: FPGALayoutType) {
 46 |         self.map
 47 |             .insert(FPGALayoutCoordinate::new(0, 0), layout_type.clone());
 48 |         self.map.insert(
 49 |             FPGALayoutCoordinate::new(0, self.height - 1),
 50 |             layout_type.clone(),
 51 |         );
 52 |         self.map.insert(
 53 |             FPGALayoutCoordinate::new(self.width - 1, 0),
 54 |             layout_type.clone(),
 55 |         );
 56 |         self.map.insert(
 57 |             FPGALayoutCoordinate::new(self.width - 1, self.height - 1),
 58 |             layout_type.clone(),
 59 |         );
 60 |     }
 61 | 
 62 |     pub fn config_border(&mut self, layout_type: FPGALayoutType) {
 63 |         for x in 0..self.width {
 64 |             self.map
 65 |                 .insert(FPGALayoutCoordinate::new(x, 0), layout_type.clone());
 66 |             self.map.insert(
 67 |                 FPGALayoutCoordinate::new(x, self.height - 1),
 68 |                 layout_type.clone(),
 69 |             );
 70 |         }
 71 | 
 72 |         for y in 0..self.height {
 73 |             self.map
 74 |                 .insert(FPGALayoutCoordinate::new(0, y), layout_type.clone());
 75 |             self.map.insert(
 76 |                 FPGALayoutCoordinate::new(self.width - 1, y),
 77 |                 layout_type.clone(),
 78 |             );
 79 |         }
 80 |     }
 81 | 
 82 |     pub fn config_repeat(
 83 |         &mut self,
 84 |         x: u32,
 85 |         y: u32,
 86 |         width: u32,
 87 |         height: u32,
 88 |         step_x: u32,
 89 |         step_y: u32,
 90 |         layout_type: FPGALayoutType,
 91 |     ) {
 92 |         for x in (x..(x + width)).step_by(step_x as usize) {
 93 |             for y in (y..(y + height)).step_by(step_y as usize) {
 94 |                 if x >= self.width || y >= self.height {
 95 |                     continue;
 96 |                 }
 97 |                 self.map
 98 |                     .insert(FPGALayoutCoordinate::new(x, y), layout_type.clone());
 99 |             }
100 |         }
101 |     }
102 | 
103 |     pub fn valid(&mut self) -> bool {
104 |         // make sure all entries are inside the width and height
105 |         for coord in self.map.keys() {
106 |             if coord.x >= self.width || coord.y >= self.height {
107 |                 return false;
108 |             }
109 |         }
110 |         true
111 |     }
112 | 
113 |     pub fn get(&self, coordinate: &FPGALayoutCoordinate) -> Option<FPGALayoutType> {
114 |         if coordinate.x >= self.width || coordinate.y >= self.height {
115 |             return None;
116 |         }
117 |         if !self.map.contains_key(coordinate) {
118 |             return Some(FPGALayoutType::EMPTY);
119 |         }
120 |         self.map.get(coordinate).cloned()
121 |     }
122 | 
123 |     pub fn count_summary(&self) -> FxHashMap<FPGALayoutType, u32> {
124 |         let mut count_summary = FxHashMap::default();
125 | 
126 |         let mut empty_count = 0;
127 |         let mut clb_count = 0;
128 |         let mut dsp_count = 0;
129 |         let mut bram_count = 0;
130 |         let mut io_count = 0;
131 | 
132 |         for x in 0..self.width {
133 |             for y in 0..self.height {
134 |                 let layout_type = self.get(&FPGALayoutCoordinate::new(x, y)).unwrap();
135 | 
136 |                 match layout_type {
137 |                     FPGALayoutType::MacroType(MacroType::CLB) => clb_count += 1,
138 |                     FPGALayoutType::MacroType(MacroType::DSP) => dsp_count += 1,
139 |                     FPGALayoutType::MacroType(MacroType::BRAM) => bram_count += 1,
140 |                     FPGALayoutType::MacroType(MacroType::IO) => io_count += 1,
141 |                     FPGALayoutType::EMPTY => empty_count += 1,
142 |                 }
143 |             }
144 |         }
145 | 
146 |         count_summary.insert(FPGALayoutType::EMPTY, empty_count);
147 |         count_summary.insert(FPGALayoutType::MacroType(MacroType::CLB), clb_count);
148 |         count_summary.insert(FPGALayoutType::MacroType(MacroType::DSP), dsp_count);
149 |         count_summary.insert(FPGALayoutType::MacroType(MacroType::BRAM), bram_count);
150 |         count_summary.insert(FPGALayoutType::MacroType(MacroType::IO), io_count);
151 | 
152 |         count_summary
153 |     }
154 | 
155 |     pub fn render_summary(&self) -> String {
156 |         let mut output: String = String::new();
157 | 
158 |         // print the x, y size of the descive
159 |         // print the number of each type of macro type
160 | 
161 |         output.push_str("FPGA Layout Summary\n");
162 |         output.push_str(&format!("Width: {}\n", self.width));
163 |         output.push_str(&format!("Height: {}\n", self.height));
164 | 
165 |         let mut clb_count = 0;
166 |         let mut dsp_count = 0;
167 |         let mut bram_count = 0;
168 |         let mut io_count = 0;
169 |         let mut empty_count = 0;
170 | 
171 |         for x in 0..self.width {
172 |             for y in 0..self.height {
173 |                 let layout_type = self
174 |                     .map
175 |                     .get(&FPGALayoutCoordinate::new(x, y))
176 |                     .unwrap_or(&FPGALayoutType::EMPTY);
177 | 
178 |                 match layout_type {
179 |                     FPGALayoutType::MacroType(MacroType::CLB) => clb_count += 1,
180 |                     FPGALayoutType::MacroType(MacroType::DSP) => dsp_count += 1,
181 |                     FPGALayoutType::MacroType(MacroType::BRAM) => bram_count += 1,
182 |                     FPGALayoutType::MacroType(MacroType::IO) => io_count += 1,
183 |                     FPGALayoutType::EMPTY => empty_count += 1,
184 |                 }
185 |             }
186 |         }
187 | 
188 |         output.push_str(&format!("CLB Count: {}\n", clb_count));
189 |         output.push_str(&format!("DSP Count: {}\n", dsp_count));
190 |         output.push_str(&format!("BRAM Count: {}\n", bram_count));
191 |         output.push_str(&format!("IO Count: {}\n", io_count));
192 |         output.push_str(&format!("Empty Count: {}\n", empty_count));
193 | 
194 |         output
195 |     }
196 | 
197 |     pub fn render_ascii(&self) -> String {
198 |         let mut output = String::new();
199 | 
200 |         // Draw the top line
201 |         for x in 0..self.width {
202 |             if x == 0 {
203 |                 output.push_str("┌───");
204 |             } else {
205 |                 output.push_str("┬───");
206 |             }
207 |         }
208 |         output.push_str("┐\n");
209 | 
210 |         for y in 0..self.height {
211 |             // Draw the cells
212 |             for x in 0..self.width {
213 |                 let layout_type = self
214 |                     .map
215 |                     .get(&FPGALayoutCoordinate::new(x, y))
216 |                     .unwrap_or(&FPGALayoutType::EMPTY);
217 | 
218 |                 match layout_type {
219 |                     FPGALayoutType::MacroType(MacroType::CLB) => output.push_str("│ C "),
220 |                     FPGALayoutType::MacroType(MacroType::DSP) => output.push_str("│ D "),
221 |                     FPGALayoutType::MacroType(MacroType::BRAM) => output.push_str("│ B "),
222 |                     FPGALayoutType::MacroType(MacroType::IO) => output.push_str("│ I "),
223 |                     FPGALayoutType::EMPTY => output.push_str("│   "),
224 |                 }
225 |             }
226 |             output.push_str("│\n");
227 | 
228 |             // Draw the line below the cells if we are not at the last row
229 |             if y < self.height - 1 {
230 |                 for x in 0..self.width {
231 |                     if x == 0 {
232 |                         output.push_str("├───");
233 |                     } else {
234 |                         output.push_str("┼───");
235 |                     }
236 |                 }
237 |                 output.push_str("┤\n");
238 |             }
239 |         }
240 | 
241 |         // Draw the bottom line
242 |         for x in 0..self.width {
243 |             if x == 0 {
244 |                 output.push_str("└───");
245 |             } else {
246 |                 output.push_str("┴───");
247 |             }
248 |         }
249 |         output.push_str("┘\n");
250 | 
251 |         output
252 |     }
253 | }
254 | 
255 | pub fn build_simple_fpga_layout(width: u32, height: u32) -> FPGALayout {
256 |     let mut layout = FPGALayout::new(width, height);
257 | 
258 |     layout.config_border(FPGALayoutType::MacroType(MacroType::IO));
259 |     layout.config_corners(FPGALayoutType::EMPTY);
260 |     layout.config_repeat(
261 |         1,
262 |         1,
263 |         width - 2,
264 |         height - 2,
265 |         1,
266 |         1,
267 |         FPGALayoutType::MacroType(MacroType::CLB),
268 |     );
269 | 
270 |     // evey 10 columns should be BRAM
271 |     layout.config_repeat(
272 |         10,
273 |         1,
274 |         width - 2,
275 |         height - 2,
276 |         10,
277 |         1,
278 |         FPGALayoutType::MacroType(MacroType::BRAM),
279 |     );
280 | 
281 |     assert!(layout.valid());
282 | 
283 |     layout
284 | }
285 | 


--------------------------------------------------------------------------------
/src/lib.rs:
--------------------------------------------------------------------------------
 1 | #![feature(portable_simd)]
 2 | #![feature(iter_array_chunks)]
 3 | 
 4 | pub mod fpga_layout;
 5 | pub mod netlist;
 6 | pub mod placer;
 7 | 
 8 | pub use fpga_layout::*;
 9 | pub use netlist::*;
10 | pub use placer::*;
11 | 


--------------------------------------------------------------------------------
/src/main.rs:
--------------------------------------------------------------------------------
  1 | use std::{collections::HashMap, process::Command, sync::Mutex};
  2 | 
  3 | use rayon::prelude::*;
  4 | use sa_placer_lib::*;
  5 | 
  6 | fn render_solution_to_png(
  7 |     solution: &PlacementSolution<'_>,
  8 |     output_name: &str,
  9 |     output_dir: &str,
 10 |     keep_svg: bool,
 11 | ) {
 12 |     std::fs::write(
 13 |         // format!("fpga_layout_solution_{}.svg", solution_name),
 14 |         format!("{}/{}.svg", output_dir, output_name),
 15 |         solution.render_svg(),
 16 |     )
 17 |     .expect("Unable to write file");
 18 |     let _output = Command::new("magick")
 19 |         .arg("convert")
 20 |         .arg("-size")
 21 |         .arg("800x800")
 22 |         .arg(format!("{}/{}.svg", output_dir, output_name))
 23 |         .arg(format!("{}/{}.png", output_dir, output_name))
 24 |         .output()
 25 |         .expect("failed to execute process");
 26 |     if !keep_svg {
 27 |         std::fs::remove_file(format!("{}/{}.svg", output_dir, output_name))
 28 |             .expect("Unable to remove file");
 29 |     }
 30 | }
 31 | 
 32 | fn main() {
 33 |     // limit the number of threads to 6 becasue my laptop has 12 logical cores
 34 |     rayon::ThreadPoolBuilder::new()
 35 |         .num_threads(6)
 36 |         .build_global()
 37 |         .unwrap();
 38 | 
 39 |     // make a data directory
 40 |     if std::path::Path::new("./output_data").exists() {
 41 |         std::fs::remove_dir_all("./output_data").expect("Unable to remove directory");
 42 |     }
 43 |     std::fs::create_dir_all("./output_data").expect("Unable to create directory");
 44 | 
 45 |     // build FPGA layout
 46 |     let layout = build_simple_fpga_layout(64, 64);
 47 | 
 48 |     // ascii render of the layout
 49 |     let vis = layout.render_ascii();
 50 |     std::fs::write("./output_data/fpga_layout.txt", vis).expect("Unable to write file");
 51 | 
 52 |     // text summary of the fpga layout
 53 |     let summary = layout.render_summary();
 54 |     std::fs::write("./output_data/fpga_layout_summary.txt", summary).expect("Unable to write file");
 55 | 
 56 |     // build a random netlist
 57 |     let netlist: NetlistGraph = build_simple_netlist(300, 30, 100);
 58 | 
 59 |     // build a random initial placement solution
 60 |     let inital_placement_method = InitialPlacerMethod::Random;
 61 |     let initial_solution = gen_initial_placement(&layout, &netlist, inital_placement_method);
 62 | 
 63 |     render_solution_to_png(
 64 |         &initial_solution,
 65 |         "initial_solution",
 66 |         "./output_data",
 67 |         false,
 68 |     );
 69 | 
 70 |     // values of n_neighbors to explore
 71 |     let configs_n_neighbors = vec![1, 2, 4, 8, 16, 32, 64, 128, 256];
 72 | 
 73 |     // number of steps to run for all placement runs
 74 |     let n_steps = 1000;
 75 | 
 76 |     let x_data_collection = Mutex::new(HashMap::new());
 77 |     let y_data_collection = Mutex::new(HashMap::new());
 78 |     let render_collection = Mutex::new(HashMap::new());
 79 |     let final_solution_collection = Mutex::new(HashMap::new());
 80 |     let config_data_collection = configs_n_neighbors.clone();
 81 | 
 82 |     config_data_collection.par_iter().for_each(|&n_neighbors| {
 83 |         println!("Running SA Placer with {} neighbors", n_neighbors);
 84 |         let placer_output =
 85 |             fast_sa_placer(initial_solution.clone(), n_steps, n_neighbors, false, true);
 86 | 
 87 |         let final_solution: PlacementSolution<'_> = placer_output.final_solution;
 88 | 
 89 |         // write the x and y data to csv
 90 |         let x_data: Vec<u32> = placer_output.x_steps;
 91 |         let y_data = placer_output.y_cost;
 92 | 
 93 |         let mut x_data_collection = x_data_collection.lock().unwrap();
 94 |         let mut y_data_collection = y_data_collection.lock().unwrap();
 95 |         x_data_collection.insert(n_neighbors, x_data);
 96 |         y_data_collection.insert(n_neighbors, y_data);
 97 | 
 98 |         let mut render_collection = render_collection.lock().unwrap();
 99 |         let mut final_solution_collection = final_solution_collection.lock().unwrap();
100 |         render_collection.insert(n_neighbors, placer_output.renderer.unwrap());
101 |         final_solution_collection.insert(n_neighbors, final_solution.clone());
102 |     });
103 | 
104 |     // remove the mutexes
105 |     let x_data_collection = x_data_collection.into_inner().unwrap();
106 |     let y_data_collection = y_data_collection.into_inner().unwrap();
107 | 
108 |     let final_solution_collection = final_solution_collection.into_inner().unwrap();
109 |     let render_collection = render_collection.into_inner().unwrap();
110 | 
111 |     // csv for each n_neighbors
112 |     for n in config_data_collection.clone().iter() {
113 |         let mut wtr: csv::Writer<std::fs::File> =
114 |             csv::Writer::from_path(format!("output_data/fpga_placer_history_{}.csv", n)).unwrap();
115 |         wtr.write_record(["step", "obj_fn_value"]).unwrap();
116 |         let x_series = x_data_collection.get(n).unwrap();
117 |         let y_series = y_data_collection.get(n).unwrap();
118 |         for (x, y) in x_series.iter().zip(y_series.iter()) {
119 |             wtr.write_record(&[x.to_string(), y.to_string()]).unwrap();
120 |         }
121 |         wtr.flush().unwrap();
122 |     }
123 | 
124 |     // one big csv with all the data
125 |     let mut wtr: csv::Writer<std::fs::File> =
126 |         csv::Writer::from_path("output_data/fpga_placer_history.csv").unwrap();
127 |     wtr.write_record(["step", "obj_fn_value", "n_neighbors"])
128 |         .unwrap();
129 |     for n_neighbors in config_data_collection.clone() {
130 |         let x_series = x_data_collection.get(&n_neighbors).unwrap();
131 |         let y_series = y_data_collection.get(&n_neighbors).unwrap();
132 |         for (x, y) in x_series.iter().zip(y_series.iter()) {
133 |             wtr.write_record(&[x.to_string(), y.to_string(), n_neighbors.to_string()])
134 |                 .unwrap();
135 |         }
136 |     }
137 | 
138 |     let mut gnuplot_command = String::new();
139 |     gnuplot_command.push_str("set terminal png size 1000,500; ");
140 |     gnuplot_command.push_str("set output 'output_data/fpga_placer_history.png'; ");
141 |     gnuplot_command.push_str("set datafile separator ','; ");
142 |     gnuplot_command.push_str("set title 'FPGA Placement History'; ");
143 |     gnuplot_command.push_str("set xlabel 'Step'; ");
144 |     gnuplot_command.push_str("set ylabel 'Objective Function Value'; ");
145 |     gnuplot_command.push_str("set yrange [0:*]; ");
146 |     gnuplot_command.push_str("plot ");
147 |     for n_neighbors in config_data_collection.clone() {
148 |         gnuplot_command.push_str(
149 |             format!(
150 |                 "'output_data/fpga_placer_history_{}.csv' using 1:2 title '{} neighbors' with lines, ",
151 |                 n_neighbors, n_neighbors
152 |             )
153 |             .as_str(),
154 |         );
155 |     }
156 |     gnuplot_command.pop();
157 |     gnuplot_command.pop();
158 |     gnuplot_command.push(';');
159 | 
160 |     let _output = Command::new("gnuplot")
161 |         .arg("-p")
162 |         .arg("-e")
163 |         .arg(&gnuplot_command)
164 |         .output()
165 |         .expect("failed to execute process");
166 | 
167 |     // render_solution_to_png(&selected_final_solution, "fpga_final_solution");
168 | 
169 |     // selected_renderer.render_to_video("./placer_animation", 30.0, 20);
170 |     config_data_collection.par_iter().for_each(|&n_neighbors| {
171 |         let solution = final_solution_collection.get(&n_neighbors).unwrap();
172 |         render_solution_to_png(
173 |             solution,
174 |             &format!("final_solution_{}", n_neighbors),
175 |             "./output_data",
176 |             false,
177 |         );
178 | 
179 |         // let renderer: Renderer = render_collection.get(&n_neighbors).unwrap().clone();
180 |         // renderer.render_to_video(
181 |         //     &format!("placer_animation_{}", n_neighbors),
182 |         //     "./output_data",
183 |         //     30.0,
184 |         //     20,
185 |         //     true,
186 |         // );
187 |     });
188 | }
189 | 


--------------------------------------------------------------------------------
/src/netlist.rs:
--------------------------------------------------------------------------------
  1 | use rustc_hash::FxHashMap;
  2 | 
  3 | use super::fpga_layout::MacroType;
  4 | 
  5 | // mod super::fpga_layout;
  6 | 
  7 | use rand::seq::SliceRandom;
  8 | use rand::Rng;
  9 | use rustworkx_core::generators::gnp_random_graph;
 10 | use rustworkx_core::petgraph;
 11 | 
 12 | #[derive(Clone, Hash, PartialEq, Eq, Debug, Copy)]
 13 | pub struct NetlistNode {
 14 |     pub id: u32,
 15 |     pub macro_type: MacroType,
 16 | }
 17 | 
 18 | #[derive(Debug, Clone)]
 19 | 
 20 | pub struct NetlistGraph {
 21 |     pub graph: petgraph::graph::DiGraph<NetlistNode, ()>,
 22 | }
 23 | 
 24 | impl NetlistGraph {
 25 |     pub fn all_nodes(&self) -> Vec<&NetlistNode> {
 26 |         self.graph.node_weights().collect()
 27 |     }
 28 | 
 29 |     pub fn count_summary(&self) -> FxHashMap<MacroType, u32> {
 30 |         let mut count_summary = FxHashMap::default();
 31 | 
 32 |         let mut clb_count = 0;
 33 |         let mut dsp_count = 0;
 34 |         let mut bram_count = 0;
 35 |         let mut io_count = 0;
 36 | 
 37 |         for node in self.graph.node_weights() {
 38 |             match node.macro_type {
 39 |                 MacroType::CLB => clb_count += 1,
 40 |                 MacroType::DSP => dsp_count += 1,
 41 |                 MacroType::BRAM => bram_count += 1,
 42 |                 MacroType::IO => io_count += 1,
 43 |             }
 44 |         }
 45 | 
 46 |         count_summary.insert(MacroType::CLB, clb_count);
 47 |         count_summary.insert(MacroType::DSP, dsp_count);
 48 |         count_summary.insert(MacroType::BRAM, bram_count);
 49 |         count_summary.insert(MacroType::IO, io_count);
 50 | 
 51 |         count_summary
 52 |     }
 53 | }
 54 | 
 55 | pub fn build_simple_netlist(n_nodes: u32, n_io: u32, n_bram: u32) -> NetlistGraph {
 56 |     let mut netlist = NetlistGraph {
 57 |         graph: gnp_random_graph(
 58 |             n_nodes as usize,
 59 |             0.02,
 60 |             None,
 61 |             || NetlistNode {
 62 |                 id: rand::thread_rng().gen(),
 63 |                 macro_type: MacroType::CLB,
 64 |             },
 65 |             || (), // default_edge_weight
 66 |         )
 67 |         .unwrap(),
 68 |     };
 69 | 
 70 |     let mut rng: rand::rngs::ThreadRng = rand::thread_rng();
 71 | 
 72 |     fn get_clb_node_indices(netlist: &NetlistGraph) -> Vec<petgraph::graph::NodeIndex> {
 73 |         netlist
 74 |             .graph
 75 |             .node_indices()
 76 |             .filter(|node_idx| {
 77 |                 netlist.graph.node_weight(*node_idx).unwrap().macro_type == MacroType::CLB
 78 |             })
 79 |             .collect()
 80 |     }
 81 | 
 82 |     // pick n_io random clbs and change their type to io
 83 |     // use choose_multiple to avoid duplicates
 84 |     let io_node_indices: Vec<_> = get_clb_node_indices(&netlist)
 85 |         .choose_multiple(&mut rng, n_io as usize)
 86 |         .cloned()
 87 |         .collect();
 88 | 
 89 |     for node_idx in io_node_indices {
 90 |         let node = netlist.graph.node_weight_mut(node_idx).unwrap();
 91 |         node.macro_type = MacroType::IO;
 92 |     }
 93 | 
 94 |     // pick n_bram random clbs and change their type to bram
 95 |     // use choose_multiple to avoid duplicates
 96 |     let bram_node_indices: Vec<_> = get_clb_node_indices(&netlist)
 97 |         .choose_multiple(&mut rng, n_bram as usize)
 98 |         .cloned()
 99 |         .collect();
100 | 
101 |     for node_idx in bram_node_indices {
102 |         let node = netlist.graph.node_weight_mut(node_idx).unwrap();
103 |         node.macro_type = MacroType::BRAM;
104 |     }
105 | 
106 |     // connect any dis nodes
107 |     let unconnected_node_indices: Vec<_> = netlist
108 |         .graph
109 |         .node_indices()
110 |         .filter(|node_idx| netlist.graph.neighbors(*node_idx).count() == 0)
111 |         .collect();
112 | 
113 |     let connected_node_indices: Vec<_> = netlist
114 |         .graph
115 |         .node_indices()
116 |         .filter(|node_idx| netlist.graph.neighbors(*node_idx).count() > 0)
117 |         .collect();
118 | 
119 |     for unconnected_node_idx in unconnected_node_indices {
120 |         let connected_node_idx = connected_node_indices
121 |             .choose(&mut rng)
122 |             .expect("No connected nodes found");
123 | 
124 |         netlist
125 |             .graph
126 |             .add_edge(*connected_node_idx, unconnected_node_idx, ());
127 |     }
128 | 
129 |     netlist
130 | }
131 | 


--------------------------------------------------------------------------------
/src/placer.rs:
--------------------------------------------------------------------------------
  1 | use std::process::Command;
  2 | 
  3 | use rand::seq::SliceRandom;
  4 | use rand::Rng;
  5 | use rayon::prelude::*;
  6 | use rustworkx_core::petgraph::visit::EdgeRef;
  7 | use tempfile::tempdir;
  8 | 
  9 | use super::fpga_layout::*;
 10 | use super::netlist::*;
 11 | 
 12 | use rustc_hash::FxHashMap;
 13 | use rustc_hash::FxHashSet;
 14 | 
 15 | use itertools::Itertools;
 16 | 
 17 | #[derive(Debug, Clone, Copy)]
 18 | pub enum PlacementAction {
 19 |     Move,
 20 |     Swap,
 21 |     MoveDirected,
 22 | }
 23 | 
 24 | #[derive(Debug, Clone)]
 25 | pub struct PlacementSolution<'a> {
 26 |     pub layout: &'a FPGALayout,
 27 |     pub netlist: &'a NetlistGraph,
 28 |     pub solution_map: FxHashMap<NetlistNode, FPGALayoutCoordinate>,
 29 | }
 30 | 
 31 | impl<'a> PlacementSolution<'a> {
 32 |     pub fn new(layout: &'a FPGALayout, netlist: &'a NetlistGraph) -> Self {
 33 |         Self {
 34 |             layout,
 35 |             netlist,
 36 |             solution_map: FxHashMap::default(),
 37 |         }
 38 |     }
 39 | 
 40 |     pub fn action_move(&mut self) {
 41 |         let mut rng = rand::thread_rng();
 42 | 
 43 |         // Randomly select a node
 44 |         let node = match self.netlist.all_nodes().choose(&mut rng) {
 45 |             Some(n) => *n,
 46 |             None => return,
 47 |         };
 48 | 
 49 |         // Get possible sites
 50 |         let possible_sites = self.get_possible_sites(node.macro_type);
 51 | 
 52 |         // Return if there are no possible sites
 53 |         if possible_sites.is_empty() {
 54 |             return;
 55 |         }
 56 | 
 57 |         // Randomly select a location
 58 |         let location = match possible_sites.choose(&mut rng) {
 59 |             Some(l) => *l,
 60 |             None => return,
 61 |         };
 62 | 
 63 |         self.solution_map.insert(*node, location);
 64 |     }
 65 | 
 66 |     pub fn action_swap(&mut self) {
 67 |         let mut rng = rand::thread_rng();
 68 | 
 69 |         // Randomly select a node (node_a)
 70 |         let node_a = match self.netlist.all_nodes().choose(&mut rng) {
 71 |             Some(n) => *n,
 72 |             None => return,
 73 |         };
 74 | 
 75 |         // Filter nodes of the same type as node_a
 76 |         let nodes_same_type = self
 77 |             .netlist
 78 |             .all_nodes()
 79 |             .into_iter()
 80 |             .filter(|node| node.macro_type == node_a.macro_type)
 81 |             .collect_vec();
 82 | 
 83 |         // If no nodes of the same type, return
 84 |         if nodes_same_type.is_empty() {
 85 |             return;
 86 |         }
 87 | 
 88 |         // Randomly select another node (node_b) of the same type
 89 |         let node_b = match nodes_same_type.choose(&mut rng) {
 90 |             Some(n) => *n,
 91 |             None => return,
 92 |         };
 93 | 
 94 |         // Clone the locations first to avoid borrowing issues
 95 |         let loc_a = self.solution_map.get(node_a).cloned();
 96 |         let loc_b = self.solution_map.get(node_b).cloned();
 97 | 
 98 |         // Perform the swap
 99 |         if let (Some(loc_a), Some(loc_b)) = (loc_a, loc_b) {
100 |             self.solution_map.insert(*node_a, loc_b);
101 |             self.solution_map.insert(*node_b, loc_a);
102 |         }
103 |     }
104 | 
105 |     pub fn action_move_directed(&mut self) {
106 |         let node_count = self.netlist.graph.node_count() as u32;
107 | 
108 |         if node_count == 0 {
109 |             panic!("No nodes in netlist; cannot compute mean for MOVE_DIRECTED");
110 |         }
111 |         let x_mean = self
112 |             .netlist
113 |             .all_nodes()
114 |             .iter()
115 |             .map(|node| self.solution_map.get(node).unwrap().x)
116 |             .sum::<u32>()
117 |             / node_count;
118 | 
119 |         let y_mean = self
120 |             .netlist
121 |             .all_nodes()
122 |             .iter()
123 |             .map(|node| self.solution_map.get(node).unwrap().y)
124 |             .sum::<u32>()
125 |             / node_count;
126 | 
127 |         let mut rng = rand::thread_rng();
128 | 
129 |         // pick a random node
130 |         let node = self.netlist.all_nodes()[rng.gen_range(0..node_count as usize)];
131 | 
132 |         let valid_locations = self.get_possible_sites(node.macro_type);
133 |         let valid_closest_location = valid_locations
134 |             .iter()
135 |             .min_by(|a, b| {
136 |                 let a_distance =
137 |                     (a.x as i32 - x_mean as i32).abs() + (a.y as i32 - y_mean as i32).abs();
138 |                 let b_distance =
139 |                     (b.x as i32 - x_mean as i32).abs() + (b.y as i32 - y_mean as i32).abs();
140 |                 a_distance.cmp(&b_distance)
141 |             })
142 |             .unwrap();
143 | 
144 |         // if the new location is futher away from the mean than the current location, return
145 |         let current_location = self.solution_map.get(node).unwrap();
146 |         let current_distance = (current_location.x as i32 - x_mean as i32).abs()
147 |             + (current_location.y as i32 - y_mean as i32).abs();
148 |         let new_distance = (valid_closest_location.x as i32 - x_mean as i32).abs()
149 |             + (valid_closest_location.y as i32 - y_mean as i32).abs();
150 |         if new_distance > current_distance {
151 |             return;
152 |         }
153 | 
154 |         self.solution_map.insert(*node, *valid_closest_location);
155 |     }
156 | 
157 |     pub fn action(&mut self, action: PlacementAction) {
158 |         match action {
159 |             PlacementAction::Move => self.action_move(),
160 |             PlacementAction::Swap => self.action_swap(),
161 |             PlacementAction::MoveDirected => self.action_move_directed(),
162 |         }
163 |     }
164 | 
165 |     pub fn cost_bb(&self) -> f32 {
166 |         let mut cost = 0;
167 | 
168 |         for edge in self.netlist.graph.edge_references() {
169 |             let source_idx = edge.source();
170 |             let target_idx = edge.target();
171 | 
172 |             let source = self.netlist.graph.node_weight(source_idx).unwrap();
173 |             let target = self.netlist.graph.node_weight(target_idx).unwrap();
174 | 
175 |             let source_location = self.solution_map.get(source).unwrap();
176 |             let target_location = self.solution_map.get(target).unwrap();
177 | 
178 |             let x_distance = source_location.x.abs_diff(target_location.x);
179 |             let y_distance = source_location.y.abs_diff(target_location.y);
180 | 
181 |             let distance = x_distance + y_distance;
182 |             cost += distance;
183 |         }
184 | 
185 |         cost as f32
186 |     }
187 | 
188 |     pub fn render_svg(&self) -> String {
189 |         let mut svg = String::new();
190 | 
191 |         svg.push_str(&format!(
192 |             "<svg xmlns=\"http://www.w3.org/2000/svg\" style=\"background-color:white\" viewBox=\"0 0 {} {}\">\n",
193 |             self.layout.width * 100,
194 |             self.layout.height * 100
195 |         ));
196 | 
197 |         // draw the white background manually
198 |         svg.push_str(&format!(
199 |             "\t<rect x=\"{}\" y=\"{}\" width=\"{}\" height=\"{}\" fill=\"white\"/>\n",
200 |             0,
201 |             0,
202 |             self.layout.width * 100,
203 |             self.layout.height * 100
204 |         ));
205 | 
206 |         // draw boxes for each location
207 |         for x in 0..self.layout.width {
208 |             for y in 0..self.layout.height {
209 |                 let layout_type = self.layout.get(&FPGALayoutCoordinate::new(x, y)).unwrap();
210 | 
211 |                 let color = match layout_type {
212 |                     FPGALayoutType::MacroType(MacroType::CLB) => "red",
213 |                     FPGALayoutType::MacroType(MacroType::DSP) => "blue",
214 |                     FPGALayoutType::MacroType(MacroType::BRAM) => "green",
215 |                     FPGALayoutType::MacroType(MacroType::IO) => "yellow",
216 |                     FPGALayoutType::EMPTY => "gray",
217 |                 };
218 | 
219 |                 svg.push_str(&format!(
220 |                     "\t<rect x=\"{}\" y=\"{}\" width=\"100\" height=\"100\" fill=\"{}\" fill-opacity=\"0.25\" stroke=\"black\" stroke-width=\"2\"/>\n",
221 |                     x * 100,
222 |                     y * 100,
223 |                     color
224 |                 ));
225 |             }
226 |         }
227 | 
228 |         // draw boxes for each netlist node
229 |         for (node, location) in self.solution_map.iter() {
230 |             let color = match node.macro_type {
231 |                 MacroType::CLB => "red",
232 |                 MacroType::DSP => "blue",
233 |                 MacroType::BRAM => "green",
234 |                 MacroType::IO => "yellow",
235 |             };
236 | 
237 |             svg.push_str(&format!(
238 |                 "\t<rect x=\"{}\" y=\"{}\" width=\"100\" height=\"100\" fill=\"{}\"/>\n",
239 |                 location.x * 100,
240 |                 location.y * 100,
241 |                 color
242 |             ));
243 | 
244 |             svg.push_str(&format!(
245 |                 "\t<text x=\"{}\" y=\"{}\" fill=\"black\" font-size=\"50\">{}</text>\n",
246 |                 location.x * 100 + 10,
247 |                 location.y * 100 + 70,
248 |                 node.id
249 |             ));
250 |         }
251 | 
252 |         // draw lines for each netlist edge
253 |         for edge in self.netlist.graph.edge_references() {
254 |             let source_idx = edge.source();
255 |             let target_idx = edge.target();
256 | 
257 |             let source = self.netlist.graph.node_weight(source_idx).unwrap();
258 |             let target = self.netlist.graph.node_weight(target_idx).unwrap();
259 | 
260 |             let source_location = self.solution_map.get(source).unwrap();
261 |             let target_location = self.solution_map.get(target).unwrap();
262 | 
263 |             svg.push_str(&format!(
264 |                 "\t<line x1=\"{}\" y1=\"{}\" x2=\"{}\" y2=\"{}\" style=\"stroke:rgb(0,0,0);stroke-width:4\" />\n",
265 |                 source_location.x * 100 + 50,
266 |                 source_location.y * 100 + 50,
267 |                 target_location.x * 100 + 50,
268 |                 target_location.y * 100 + 50
269 |             ));
270 |         }
271 | 
272 |         svg.push_str("</svg>\n");
273 | 
274 |         svg
275 |     }
276 | 
277 |     pub fn get_unplaced_nodes(&self) -> Vec<NetlistNode> {
278 |         let mut unplaced_nodes: Vec<NetlistNode> = Vec::new();
279 | 
280 |         for node in self.netlist.graph.node_weights() {
281 |             if !self.solution_map.contains_key(node) {
282 |                 unplaced_nodes.push(*node);
283 |             }
284 |         }
285 | 
286 |         unplaced_nodes
287 |     }
288 | 
289 |     pub fn get_possible_sites(&self, macro_type: MacroType) -> Vec<FPGALayoutCoordinate> {
290 |         let mut possible_sites = Vec::new();
291 | 
292 |         let mut placed_locations = FxHashSet::default();
293 |         for location in self.solution_map.values() {
294 |             placed_locations.insert(*location);
295 |         }
296 | 
297 |         for x in 0..self.layout.width {
298 |             for y in 0..self.layout.height {
299 |                 // check if the location is unplaced
300 |                 if placed_locations.contains(&FPGALayoutCoordinate::new(x, y)) {
301 |                     continue;
302 |                 }
303 | 
304 |                 let layout_type = self
305 |                     .layout
306 |                     .map
307 |                     .get(&FPGALayoutCoordinate::new(x, y))
308 |                     .unwrap();
309 | 
310 |                 match layout_type {
311 |                     FPGALayoutType::MacroType(layout_macro_type) => {
312 |                         if layout_macro_type == &macro_type {
313 |                             possible_sites.push(FPGALayoutCoordinate::new(x, y));
314 |                         }
315 |                     }
316 |                     FPGALayoutType::EMPTY => {}
317 |                 }
318 |             }
319 |         }
320 | 
321 |         possible_sites
322 |     }
323 | 
324 |     pub fn place_node(&mut self, node: NetlistNode, location: FPGALayoutCoordinate) {
325 |         self.solution_map.insert(node, location);
326 |     }
327 | 
328 |     pub fn valid(&self) -> bool {
329 |         // let netlist_nodes: Vec<NetlistNode> = self.netlist.all_nodes();
330 |         let netlist_nodes = self.netlist.graph.node_weights().collect_vec();
331 |         let netlist_nodes_ids = netlist_nodes
332 |             .iter()
333 |             .map(|node| node.id)
334 |             .collect::<Vec<u32>>();
335 | 
336 |         // Check that all the nodes in the netlist are in the solution map
337 |         for node in self.netlist.graph.node_weights() {
338 |             if !self.solution_map.contains_key(node) {
339 |                 return false;
340 |             }
341 |         }
342 | 
343 |         // Check that all the nodes in the solution map are in the netlist
344 |         for node in self.solution_map.keys() {
345 |             if !netlist_nodes_ids.contains(&node.id) {
346 |                 return false;
347 |             }
348 |         }
349 | 
350 |         // check that each location in the layout is only used once
351 |         let mut used_locations = FxHashSet::default();
352 |         for location in self.solution_map.values() {
353 |             if used_locations.contains(location) {
354 |                 return false;
355 |             }
356 |             used_locations.insert(*location);
357 |         }
358 | 
359 |         // check that each node in the netlist is only used once
360 |         let mut used_nodes = FxHashSet::default();
361 |         for node in self.solution_map.keys() {
362 |             if used_nodes.contains(node) {
363 |                 return false;
364 |             }
365 |             used_nodes.insert(*node);
366 |         }
367 | 
368 |         // check that nodes are placed on the correct type of macro
369 |         for (node, location) in self.solution_map.iter() {
370 |             let layout_type: FPGALayoutType = self.layout.get(location).unwrap();
371 | 
372 |             match layout_type {
373 |                 FPGALayoutType::MacroType(macro_type) => {
374 |                     if node.macro_type != macro_type {
375 |                         return false;
376 |                     }
377 |                 }
378 |                 FPGALayoutType::EMPTY => return false,
379 |             }
380 |         }
381 | 
382 |         true
383 |     }
384 | }
385 | 
386 | pub enum InitialPlacerMethod {
387 |     Random,
388 |     Greedy,
389 | }
390 | 
391 | pub fn gen_random_placement<'a>(
392 |     layout: &'a FPGALayout,
393 |     netlist: &'a NetlistGraph,
394 | ) -> PlacementSolution<'a> {
395 |     let mut solution = PlacementSolution::new(layout, netlist);
396 | 
397 |     let mut rng = rand::thread_rng();
398 | 
399 |     let count_summary_layout = solution.layout.count_summary();
400 |     let count_summary_netlist = solution.netlist.count_summary();
401 | 
402 |     for &macro_type in &[
403 |         MacroType::CLB,
404 |         MacroType::DSP,
405 |         MacroType::BRAM,
406 |         MacroType::IO,
407 |     ] {
408 |         assert!(
409 |             count_summary_layout
410 |                 .get(&FPGALayoutType::MacroType(macro_type))
411 |                 .unwrap()
412 |                 >= count_summary_netlist.get(&macro_type).unwrap()
413 |         );
414 |     }
415 | 
416 |     for node in solution.netlist.all_nodes() {
417 |         let possible_sites = solution.get_possible_sites(node.macro_type);
418 |         let location: FPGALayoutCoordinate = possible_sites[rng.gen_range(0..possible_sites.len())];
419 |         solution.place_node(*node, location);
420 |     }
421 | 
422 |     assert!(solution.valid());
423 | 
424 |     solution
425 | }
426 | 
427 | pub fn gen_greedy_placement<'a>(
428 |     layout: &'a FPGALayout,
429 |     netlist: &'a NetlistGraph,
430 | ) -> PlacementSolution<'a> {
431 |     // place nodes in the first spot in the layout closest to the origin (0,0) which is the top left corner
432 | 
433 |     let mut solution = PlacementSolution::new(layout, netlist);
434 | 
435 |     let count_summary_layout = solution.layout.count_summary();
436 |     let count_summary_netlist = solution.netlist.count_summary();
437 | 
438 |     for &macro_type in &[
439 |         MacroType::CLB,
440 |         MacroType::DSP,
441 |         MacroType::BRAM,
442 |         MacroType::IO,
443 |     ] {
444 |         assert!(
445 |             count_summary_layout
446 |                 .get(&FPGALayoutType::MacroType(macro_type))
447 |                 .unwrap()
448 |                 >= count_summary_netlist.get(&macro_type).unwrap()
449 |         );
450 |     }
451 | 
452 |     let nodes = solution.netlist.all_nodes();
453 |     for node in nodes {
454 |         let possible_sites = solution.get_possible_sites(node.macro_type);
455 |         // get the site with the min manhattan distance to the origin (0,0)
456 |         let location = possible_sites
457 |             .iter()
458 |             .min_by(|a, b| {
459 |                 let a_distance: u32 = a.x + a.y;
460 |                 let b_distance = b.x + b.y;
461 |                 a_distance.cmp(&b_distance)
462 |             })
463 |             .unwrap();
464 | 
465 |         solution.place_node(*node, *location);
466 |     }
467 | 
468 |     assert!(solution.valid());
469 | 
470 |     solution
471 | }
472 | 
473 | pub fn gen_initial_placement<'a>(
474 |     layout: &'a FPGALayout,
475 |     netlist: &'a NetlistGraph,
476 |     method: InitialPlacerMethod,
477 | ) -> PlacementSolution<'a> {
478 |     match method {
479 |         InitialPlacerMethod::Random => gen_random_placement(layout, netlist),
480 |         InitialPlacerMethod::Greedy => gen_greedy_placement(layout, netlist),
481 |     }
482 | }
483 | 
484 | #[derive(Clone)]
485 | pub struct Renderer {
486 |     pub svg_renders: Vec<String>,
487 | }
488 | 
489 | impl Default for Renderer {
490 |     fn default() -> Self {
491 |         Self::new()
492 |     }
493 | }
494 | 
495 | impl Renderer {
496 |     pub fn new() -> Renderer {
497 |         Renderer {
498 |             svg_renders: Vec::new(),
499 |         }
500 |     }
501 | 
502 |     pub fn add_frame(&mut self, svg: String) {
503 |         self.svg_renders.push(svg);
504 |     }
505 | 
506 |     pub fn render_to_video(
507 |         self,
508 |         output_name: &str,
509 |         output_dir: &str,
510 |         framerate: f64,
511 |         every_n_frames: usize,
512 |         make_gif: bool,
513 |     ) {
514 |         let dir = tempdir().unwrap();
515 |         let frame_dir = dir.path().join("frames");
516 |         std::fs::create_dir(&frame_dir).unwrap();
517 | 
518 |         let mut input_frames_svg_paths = Vec::new();
519 | 
520 |         for (frame_number, svg) in self.svg_renders.iter().enumerate() {
521 |             if frame_number % every_n_frames != 0 {
522 |                 continue;
523 |             }
524 |             let frame_fp = frame_dir.join(format!("frame_{}.svg", frame_number));
525 |             input_frames_svg_paths.push(frame_fp.clone());
526 |             std::fs::write(&frame_fp, svg).expect("Unable to write file");
527 |         }
528 | 
529 |         // rename the every_n_frames frames to be sequential to not confuse ffmpeg
530 |         let mut input_frames_svg_paths_renumbered = Vec::new();
531 |         for (frame_number, svg_fp) in input_frames_svg_paths.iter().enumerate() {
532 |             let new_fp = frame_dir.join(format!("frame_{}.svg", frame_number));
533 |             std::fs::rename(svg_fp, &new_fp).expect("Unable to rename file");
534 |             input_frames_svg_paths_renumbered.push(new_fp);
535 |         }
536 | 
537 |         // convert the frames to pngs
538 |         input_frames_svg_paths_renumbered
539 |             .par_iter()
540 |             .for_each(|svg_fp| {
541 |                 let png_fp = svg_fp.with_extension("png");
542 |                 println!("Converting {:?} to {:?} ... ", svg_fp, png_fp);
543 |                 let _output: std::process::Output = std::process::Command::new("magick")
544 |                     .arg("convert")
545 |                     .arg("-size")
546 |                     .arg("800x800")
547 |                     .arg(svg_fp)
548 |                     .arg(png_fp)
549 |                     .output()
550 |                     .expect("failed to execute magick");
551 |             });
552 | 
553 |         // use ffmpeg to convert the frames to a video
554 |         let mut ffmpeg_cmd = Command::new("ffmpeg");
555 |         ffmpeg_cmd.arg("-y");
556 |         ffmpeg_cmd.arg("-framerate");
557 |         ffmpeg_cmd.arg(format!("{}", framerate));
558 |         ffmpeg_cmd.arg("-i");
559 |         ffmpeg_cmd.arg(frame_dir.join("frame_%d.png").to_str().unwrap());
560 |         ffmpeg_cmd.arg("-c:v");
561 |         ffmpeg_cmd.arg("libx264");
562 |         ffmpeg_cmd.arg("-pix_fmt");
563 |         ffmpeg_cmd.arg("yuv420p");
564 |         ffmpeg_cmd.arg(format!("{}/{}.mp4", output_dir, output_name));
565 | 
566 |         let child = ffmpeg_cmd.spawn().expect("failed to execute ffmpeg");
567 |         child.wait_with_output().expect("failed to wait on ffmpeg");
568 | 
569 |         if make_gif {
570 |             // use ffmpeg to convert the frames to a gif
571 |             let mut ffmpeg_cmd = Command::new("ffmpeg");
572 |             ffmpeg_cmd.arg("-y");
573 |             ffmpeg_cmd.arg("-framerate");
574 |             ffmpeg_cmd.arg(format!("{}", framerate));
575 |             ffmpeg_cmd.arg("-i");
576 |             ffmpeg_cmd.arg(frame_dir.join("frame_%d.png").to_str().unwrap());
577 | 
578 |             // Optimize gif size using rescaling and color pallet reduction
579 |             ffmpeg_cmd.arg("-filter_complex");
580 |             ffmpeg_cmd.arg("scale=iw/2:-1,split [a][b];[a] palettegen=stats_mode=diff:max_colors=32[p]; [b][p] paletteuse=dither=bayer");
581 | 
582 |             ffmpeg_cmd.arg(format!("{}/{}.gif", output_dir, output_name));
583 | 
584 |             let child = ffmpeg_cmd.spawn().expect("failed to execute ffmpeg");
585 |             child.wait_with_output().expect("failed to wait on ffmpeg");
586 |         }
587 |     }
588 | }
589 | 
590 | pub struct PlacerOutput<'a> {
591 |     pub initial_solution: PlacementSolution<'a>,
592 |     pub final_solution: PlacementSolution<'a>,
593 |     pub x_steps: Vec<u32>,
594 |     pub y_cost: Vec<f32>,
595 |     pub renderer: Option<Renderer>,
596 | }
597 | 
598 | pub fn fast_sa_placer(
599 |     initial_solution: PlacementSolution,
600 |     n_steps: u32,
601 |     n_neighbors: usize, // number of neighbors to explore at each step
602 |     verbose: bool,
603 |     render: bool,
604 | ) -> PlacerOutput {
605 |     let mut renderer = Renderer::new();
606 | 
607 |     let mut current_solution = initial_solution.clone();
608 | 
609 |     let mut rng = rand::thread_rng();
610 |     let actions: &[PlacementAction] = &[
611 |         PlacementAction::Move,
612 |         PlacementAction::Swap,
613 |         PlacementAction::MoveDirected,
614 |     ];
615 | 
616 |     let mut x_steps = Vec::new();
617 |     let mut y_cost = Vec::new();
618 | 
619 |     for _i in 0..n_steps {
620 |         x_steps.push(_i);
621 |         y_cost.push(current_solution.cost_bb());
622 |         if render {
623 |             renderer.add_frame(current_solution.render_svg());
624 |         }
625 | 
626 |         // randomly select actions
627 |         let actions: Vec<_> = actions.choose_multiple(&mut rng, n_neighbors).collect();
628 | 
629 |         let new_solutions: Vec<_> = actions
630 |             // .into_par_iter()
631 |             .into_iter()
632 |             .map(|action| {
633 |                 let mut new_solution = current_solution.clone();
634 |                 new_solution.action(*action);
635 |                 new_solution
636 |             })
637 |             .collect();
638 | 
639 |         let best_solution = new_solutions
640 |             .iter()
641 |             .min_by(|sol1, sol2| {
642 |                 (sol1.cost_bb() - current_solution.cost_bb())
643 |                     .partial_cmp(&(sol2.cost_bb() - current_solution.cost_bb()))
644 |                     .unwrap()
645 |             })
646 |             .unwrap();
647 | 
648 |         let best_delta = best_solution.cost_bb() - current_solution.cost_bb();
649 |         let mut delta = 0.0;
650 |         if best_delta < 0.0 {
651 |             current_solution = best_solution.clone();
652 |             delta = best_delta;
653 |         }
654 | 
655 |         if verbose && _i % 10 == 0 {
656 |             println!("Current Itteration: {:?}", _i);
657 |             println!("Delta Cost: {:?}", delta);
658 |             println!("Current Cost: {:?}", current_solution.cost_bb());
659 |         }
660 |     }
661 | 
662 |     if render {
663 |         renderer.add_frame(current_solution.render_svg());
664 |     }
665 | 
666 |     PlacerOutput {
667 |         initial_solution: initial_solution.clone(),
668 |         final_solution: current_solution.clone(),
669 |         x_steps,
670 |         y_cost,
671 |         renderer: if render { Some(renderer) } else { None },
672 |     }
673 | }
674 | 


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