├── .github
└── workflows
│ └── awesome-lint.yml
├── LICENSE
├── README.md
├── contributing.md
├── developing.md
└── emerging.md
/.github/workflows/awesome-lint.yml:
--------------------------------------------------------------------------------
1 | name: awesome-lint
2 |
3 | on:
4 | workflow_dispatch:
5 | push:
6 | pull_request:
7 | branches: [main]
8 | jobs:
9 | Awesome_Lint:
10 | runs-on: ubuntu-latest
11 | steps:
12 | - uses: actions/checkout@v3
13 | with:
14 | fetch-depth: 0
15 | - run: npx awesome-lint
16 |
--------------------------------------------------------------------------------
/LICENSE:
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/README.md:
--------------------------------------------------------------------------------
1 |
2 | # Awesome HPC [](https://awesome.re)
3 |
4 | High Performance Computing tools and resources for engineers and administrators.
5 |
6 | [High Performance Computing (HPC)](https://en.wikipedia.org/wiki/Supercomputer) most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in science, engineering, or business.
7 |
8 |
9 | ## Contents
10 |
11 | (click to expand)
12 |
13 | - [Provisioning](#provisioning)
14 | - [Workload Managers](#workload-managers)
15 | - [Pipelines](#pipelines)
16 | - [Applications](#applications)
17 | - [Compilers](#compilers)
18 | - [MPI](#mpi)
19 | - [Parallel Computing](#parallel-computing)
20 | - [Benchmarking](#benchmarking)
21 | - [Miscellaneous](#miscellaneous)
22 | - [Performance](#performance)
23 | - [Parallel Shells](#parallel-shells)
24 | - [Containers](#containers)
25 | - [Environment Management](#environment-management)
26 | - [Visualization](#visualization)
27 | - [Parallel Filesystems](#parallel-filesystems)
28 | - [Programming Languages](#programming-languages)
29 | - [Monitoring](#monitoring)
30 | - [Journals](#journals)
31 | - [Podcasts](#podcasts)
32 | - [Blogs](#blogs)
33 | - [Conferences](#conferences)
34 | - [Websites](#websites)
35 | - [User Groups](#user-groups)
36 |
37 |
38 |
39 | ## Provisioning
40 | - [Grendel](https://grendel.readthedocs.io/) - Bare Metal Provisioning system for HPC Linux clusters ([Source Code](https://github.com`ubccr/grendel)) `GPL-3`.
41 | - [XCat](https://xcat.org/) - xCAT is a toolkit for deployment and administration of clusters of all sizes ([Source Code](https://github.com/xcat2/xcat-core)) `EPL-1.0`.
42 | - [Warewulf](https://warewulf.hpcng.org/) - Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems ([Source Code](https://github.com/hpcng/warewulf)) `BSD-3`.
43 | - [Rocks](http://www.rocksclusters.org/) - A Linux distribution for developing Linux clusters `other`.
44 | - [Cobbler](https://cobbler.github.io/) - Cobbler is a Linux installation server that allows for rapid setup of network installation environments ([Source Code](https://github.com/cobbler/cobbler)) `GPL-2.0`.
45 | - [Base Command Manager](https://docs.nvidia.com/base-command-manager/index.html) - Base Command Manager allows administrator to quickly build and manage heterogeneous clusters `Proprietary`.
46 | - [Scyld](https://www.penguinsolutions.com/computing/products/software/scyld-clusterware/) - Scyld Clusterware Scyld ClusterWare is developed based on the continuing evolution of Beowulf clusters first developed at NASA in the 1990s `Proprietary`.
47 | - [BlueBanquise](https://bluebanquise.com) - BlueBanquise is an open source cluster deployment and management stack built on Python and Ansible ([Source Code](https://github.com/bluebanquise/bluebanquise)) `MIT`.
48 |
49 | ## Workload Managers
50 | - [Slurm](https://slurm.schedmd.com/documentation.html) - A free and open source job scheduler ([Source Code](https://github.com/SchedMD/slurm)) `OSS`.
51 | - [LSF](https://www.ibm.com/products/hpc-workload-management) - A job scheduler and workload management software developed by IBM `Proprietary`.
52 | - [Moab](https://adaptivecomputing.com/moab-hpc-suite/) - Moab is a workload management and job scheduler `other`.
53 | - [Torque](https://en.wikipedia.org/wiki/TORQUE) - Torque is a workload management and job scheduler `other`.
54 | - [OpenLava](https://en.wikipedia.org/wiki/OpenLava) - OpenLava is a workload management and job scheduler `other`.
55 | - [UGE/SGE](https://en.wikipedia.org/wiki/Univa_Grid_Engine) - Univa Grid Engine is a workload management engine for HPC `Proprietary`.
56 | - [Volcano](https://volcano.sh/) - Volcano is a batch system built on Kubernetes `Apache-2.0`.
57 | - [Maui](https://www.mhpcc.hpc.mil/) - Maui is a workload management and job scheduler `other`.
58 | - [Kube Batch](https://github.com/kubernetes-sigs/kube-batch) - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC `Apache-2.0`.
59 | - [OpenPBS](https://www.openpbs.org/) - OpenPBS® software optimizes job scheduling and workload management in high-performance computing (HPC) environments ([Source Code](https://github.com/openpbs/openpbs)) `other`.
60 |
61 | ## Pipelines
62 | - [Nextflow](https://nextflow.io) - Data drive computational pipelines `Apache-2.0`.
63 | - [Cromwell](https://cromwell.readthedocs.io/en/stable/) - Scientific workflow engine designed for simplicity & scalability ([Source Code](https://github.com/broadinstitute/cromwell)) `BSD-3`.
64 | - [Pegasus](https://pegasus.isi.edu/) - A configurable system for mapping and executing scientific workflows over a wide range of computational infrastructure ([Source Code](https://github.com/pegasus-isi/pegasus))`Apache-2.0`.
65 |
66 | ## Applications
67 | - [Spack](https://spack.io) - A flexible package manager that supports multiple versions, configurations, platforms, and compilers ([Source Code](https://github.com/spack/spack)) `other`.
68 | - [EasyBuild](https://easybuild.io/) - EasyBuild - building software with ease ([Source Code](https://github.com/easybuilders/easybuild)) `GPL-2`.
69 |
70 | ## Compilers
71 | - [Nvidia](https://developer.nvidia.com/hpc-compilers) - NVIDIA HPC compiler suite for Fortran, C/C++ with OpenACC `Proprietary`.
72 | - [Portland Group](https://www.pgroup.com/index.htm) - The Portland Group compilers were Fortran, C/C++ compilers now integrated into NVIDIA HPC SDK `Proprietary`.
73 | - [Intel](https://software.intel.com/content/www/us/en/develop/tools/oneapi/all-toolkits.html#hpc-kit) - The Intel compiler suite offers many language compilers for use in the HPC space `Proprietary`.
74 | - [Cray](https://bluewaters.ncsa.illinois.edu/cray-compiler) - A suite of compilers designed and optimized to target the AMD interlagos instruction set `Proprietary`.
75 | - [GNU](https://gcc.gnu.org/) - The GNU Compiler Collection is a suite of compilers targeting many languages ([Source Code](https://gcc.gnu.org/git.html)) `GPL-3`.
76 | - [LLVM](https://llvm.org/) - The LLVM project is a collection of modular compilers and toolchains ([Source Code](https://github.com/llvm/llvm-project)) `OSS`.
77 |
78 | ## MPI
79 | - [OpenMPI](https://www.open-mpi.org/) - OpenMPI is an open source implementation of the MPI-3.1 standard ([Source Code](https://github.com/open-mpi/ompi)) `BSD`.
80 | - [MPICH](https://www.mpich.org/) - MPICH is a high-performance and widely portable implementation of the MPI-3.1 standard ([Source Code](https://github.com/pmodels/mpich)) `other`.
81 | - [MVAPICH](https://mvapich.cse.ohio-state.edu/) - MVAPICH is an open source implementation of the MPI-3.1 standard developed by Ohio State University `BSD`.
82 | - [Intel-MPI](https://www.intel.com/content/www/us/en/developer/tools/oneapi/mpi-library.html) - Intel-MPI is Intel's MPI-3.1 implementation included in their compiler suite `other`.
83 |
84 | ## Parallel Computing
85 | - [ArrayFire](https://arrayfire.org/docs/index.htm) - A general purpose tensor library that simplifies the process of software development for parallel architectures `other`.
86 | - [OpenMP](https://www.openmp.org/) - OpenMP is an application programming interface that supports multi-platform shared-memory multiprocessing programming `other`.
87 |
88 | ## Benchmarking
89 | - [OSU Benchmarks](https://mvapich.cse.ohio-state.edu/benchmarks/) - A collection of benchmarking tools for MPI developed by Ohio State University `other`.
90 | - [Intel MPI Benchmarks](https://software.intel.com/content/www/us/en/develop/articles/intel-mpi-benchmarks.html) - A set of benchmarks developed by Intel for use with their Intel MPI `other`.
91 | - [HPCC Systems](https://hpccsystems.com/) - HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics ([Source Code](https://github.com/hpcc-systems/HPCC-Platform)) `other`.
92 | - [LINPACK](https://www.netlib.org/linpack/) - LINPACK is a set of efficient fortran subroutines for solving linear systems which benchmarks are useful for HPC `other`.
93 | - [IOzone](https://www.iozone.org/) - IOzone is a filesystem benchmark tool `OSS`.
94 | - [IOR](https://www.vi4io.org/tools/benchmarks/ior) - Interleaved or Random is a useful benchmarking tool for testing parallel filesystems `other`.
95 | - [MDtest](https://www.vi4io.org/tools/benchmarks/mdtest) - MDtest is an MPI-based application for evaluating the metadata performance of a file system `other`.
96 | - [FIO](https://fio.readthedocs.io/en/latest/fio_doc.html) - Flexible I/O is an advanced disk benchmark that depends upon the kernel's AIO access library ([Source Code](https://git.kernel.dk/cgit/fio/)) `GPL-2`.
97 | - [elbencho](https://github.com/breuner/elbencho) - A distributed storage benchmark for files, objects & blocks with support for GPUs `GPL-3`.
98 |
99 | ## Miscellaneous
100 | - [OpenOnDemand](https://openondemand.org/) - Open OnDemand helps computational researchers and students efficiently utilize remote computing resources by making them easy to access from any device ([Source Code](https://github.com/OSC/openondemand.org)) `MIT`.
101 | - [Open XDMod](https://open.xdmod.org) - Open XDMoD is an open source tool to facilitate the management of high performance computing resources ([Source Code](https://github.com/ubccr/xdmod/)) `LGPL-3`.
102 | - [Coldfront](https://coldfront.readthedocs.io/en/latest/) - ColdFront is an open source resource allocation system designed to provide a central portal for administration, reporting, and measuring scientific impact of HPC resources ([Source Code](https://github.com/ubccr/coldfront)) `GPL-3`.
103 | - [Pavilion2](https://pavilion2.readthedocs.io/) - Pavilion is a Python 3 (3.6+) based framework for running and analyzing tests targeting HPC systems ([Source Code](https://github.com/hpc/pavilion2)) `other`.
104 | - [Reframe](https://reframe-hpc.readthedocs.io/en/stable/) - A powerful Python framework for writing and running portable regression tests and benchmarks for HPC systems. ([Source Code](https://github.com/reframe-hpc/reframe)) `BSD-3`.
105 | - [OLCF Test Harness](https://olcf.github.io/olcf-test-harness/) - The OLCF Test Harness (OTH) helps automate the testing of applications, tools, and other system software ([Source Code](https://github.com/olcf/olcf-test-harness)) `other`.
106 | - [GoSlmailer](https://github.com/CLIP-HPC/goslmailer) - Goslmailer is a drop-in notification delivery solution for slurm that can do slack, mattermost, teams, and more.
107 |
108 | ## Performance
109 | - [TotalView](https://totalview.io/products/totalview) - TotalView is a debugging tool for HPC applications `Proprietary`.
110 | - [Tau](https://www.cs.uoregon.edu/research/tau/home.php) - TAU Performance System® is a portable profiling and tracing toolkit for performance analysis of parallel programs written in Fortran, C, C++, UPC, Java, Python `other`.
111 | - [Valgrind](https://www.valgrind.org/) - Valgrind is a tool designed to profile programs to determine memory leaks ([Source Code](https://sourceware.org/git/?p=valgrind.git)) `GPL-2`.
112 | - [Paraver](https://tools.bsc.es/paraver) - Paraver is a very flexible data browser that is part of the CEPBA-Tools toolkit `other`.
113 | - [PAPI](http://icl.cs.utk.edu/papi) - Performance Application Programming Interface (PAPI) is a performance analysis tool ([Source Code](https://bitbucket.org/icl/papi/src/master/)) `other`.
114 |
115 | ## Parallel Shells
116 | - [pdsh](https://linux.die.net/man/1/pdsh) - pdsh runs terminal commands across multiple hosts in parallel ([Source Code](https://github.com/chaos/pdsh)) `GPL-2`.
117 | - [ClusterShell](https://clustershell.readthedocs.io/en/latest/intro.html) - Scalable cluster administration Python framework ([Source Code](https://github.com/cea-hpc/clustershell)) `LGPL-2.1` .
118 |
119 | ## Containers
120 | - [Apptainer](https://apptainer.org) - Apptainer is an open source container system ([Source Code](https://github.com/apptainer/apptainer)) `BSD`.
121 | - [Charliecloud](https://hpc.github.io/charliecloud/) - Charliecloud provides user-defined software stacks (UDSS) for high-performance computing (HPC) centers ([Source Code](https://github.com/hpc/charliecloud)) `Apache-2.0`.
122 | - [Docker](https://www.docker.com/) - Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers `other`.
123 | - [uDocker](https://indigo-dc.github.io/udocker/) - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges ([Source Code](https://github.com/indigo-dc/udocker)) `Apache-2.0`.
124 | - [Shifter](https://www.nersc.gov/research-and-development/user-defined-images/) - Shifter is Linux containers for HPC ([Source Code](https://github.com/NERSC/shifter)) `other`.
125 | - [HPC Container Maker](https://github.com/NVIDIA/hpc-container-maker) - HPC Container Maker is an open source tool to make it easier to generate container specification files. `Apache-2.0`.
126 | - [Scarus](https://github.com/eth-cscs/sarus) - An OCI-compatible container engine for HPC `BSD`.
127 | - [Singularity HPC](https://singularity-hpc.readthedocs.io) - Singularity Registry HPC (shpc) allows you to install containers as modules ([Source Code](https://github.com/singularityhub/singularity-hpc)) `MPL 2.0`.
128 |
129 | ## Environment Management
130 | - [Lmod](https://lmod.readthedocs.io/en/latest/) - Lmod: An Environment Module System based on Lua, Reads TCL Modules, Supports a Software Hierarchy ([Source Code](https://github.com/TACC/Lmod)) `other`.
131 | - [Environment Modules](https://modules.readthedocs.io/en/latest/) - Environment Modules: provides dynamic modification of a user's environment ([Source Code](https://github.com/cea-hpc/modules)) `GPL-2`.
132 | - [Anaconda](https://www.anaconda.com/) - Anaconda is a Python and R distribution for use in computational science `other`.
133 | - [Mamba](https://mamba.readthedocs.io/en/latest/) - Mamba is a reimplementation of the conda package manager in C++ ([Source Code](https://github.com/mamba-org/mamba)) `BSD`.
134 |
135 | ## Visualization
136 | - [Visit](https://visit-dav.github.io/visit-website/) - VisIt - Visualization and Data Analysis for Mesh-based Scientific Data ([Source Code](https://github.com/visit-dav/visit)) `BSD-3`.
137 | - [Paraview](https://www.paraview.org/) - ParaView is an open-source, multi-platform data analysis and visualization application based on Visualization Toolkit (VTK) ([Source Code](https://github.com/Kitware/ParaView)) `BSD-3`.
138 |
139 | ## Parallel Filesystems
140 | - [GPFS](https://www.ibm.com/docs/en/gpfs/4.1.0.4?topic=guide-introducing-general-parallel-file-system) - GPFS is a high-performance clustered file system software developed by IBM `Proprietary`.
141 | - [Quobyte](https://www.quobyte.com/storage-for/high-performance-computing-hpc?gclid=EAIaIQobChMI-fv1pfKG8wIV5x6tBh367Q5CEAAYASABEgJTgPD_BwE) - A high performance filesystem `Proprietary`.
142 | - [Ceph](https://ceph.io/en/) - Ceph is a distributed object, block, and file storage platform ([Source Code](https://github.com/ceph/ceph)) `other`.
143 | - [Weka](https://www.weka.io/) - A file system designed for HPC `Proprietary` .
144 | - [Lustre/Exascaler](https://www.lustre.org/) - Lustre is an open-source, distributed parallel file system software platform designed for scalability, high-performance, and high-availability ([Source Code](https://git.whamcloud.com/fs/lustre-release.git)) `other`.
145 | - [BeeGFS](https://www.beegfs.io/c/) - BeeGFS is a hardware-independent POSIX parallel file system developed with a strong focus on performance and designed for ease of use, simple installation, and management `Proprietary`.
146 | - [OrangeFS](http://www.orangefs.org/) - OrangeFS is a next generation parallel file system for Linux clusters ([Source Code](https://github.com/waltligon/orangefs)) `other`.
147 | - [MooseFS](https://moosefs.com/) - Moose File System is an Open-source, POSIX-compliant distributed file system developed by Core Technology ([Source Code](https://github.com/moosefs/moosefs)) `GPL-2.0`.
148 |
149 | ## Programming Languages
150 | - [Julia](https://julialang.org/) - Julia is a high-level, high-performance dynamic language for technical computing `MIT`.
151 | - [Futhark](https://futhark-lang.org/) - Futhark is a purely functional data-parallel programming language in the ML family `isc`.
152 | - [Chapel](https://chapel-lang.org/) - Chapel is a programming language designed for productive parallel computing at scale `Apache-2.0`.
153 |
154 | ## Monitoring
155 | ### Prometheus Based
156 | - [Slurm Exporter](https://github.com/treydock/prometheus-slurm-exporter) - Prometheus exporter for performance metrics from Slurm `GPL-3.0`.
157 | - [Slurm Exporter](https://github.com/ubccr/slurm-exporter) - Slurm Exporter for Prometheus using Rest API `GPL-3.0`.
158 | - [Infiniband Exporter](https://github.com/treydock/infiniband_exporter) - The InfiniBand exporter collects counters from InfiniBand switches and HCAs `Apache-2.0`.
159 | - [Cgroup Exporter](https://github.com/treydock/cgroup_exporter) - Produces metrics from cgroups `Apache-2.0`.
160 | - [Cgroup Exporter](https://github.com/phpHavok/cgroups_exporter) - A Prometheus exporter for cgroup-level metrics `unknown`.
161 | - [GPFS Exporter](https://github.com/treydock/gpfs_exporter) - The GPFS exporter collects metrics from the GPFS filesystem `Apache-2.0`.
162 | - [Lustre Exporter](https://github.com/GSI-HPC/lustre_exporter) - Prometheus exporter for use with the Lustre parallel filesystem `GPL-3.0`.
163 | - [DCGM Exporter](https://github.com/NVIDIA/dcgm-exporter) - NVIDIA GPU metrics exporter for Prometheus leveraging DCGM `Apache-2.0`.
164 |
165 | ## Journals
166 | - [Journal of Super Computing](https://www.springer.com/journal/11227) - An International Journal of High-Performance Computer Design, Analysis, and Use.
167 |
168 | ## Podcasts
169 | - [This week in HPC](https://www.intersect360.com/media/podcasts/) - Each week, Intersect360 Research CEO Addison Snell and HPCwire editor Tiffany Trader dissect the week's top HPC stories.
170 | - [Exascaler Project](https://www.exascaleproject.org/podcast/) - ECP's Let's Talk Exascale podcast goes behind the scenes to chat with some of the people who are bringing a capable and sustainable exascale computing ecosystem to fruition.
171 | - [@HPCpodcast](https://insidehpc.com/category/resources/hpc-podcast/) - Join Shahin Khan and Doug Black as they discuss Supercomputing technologies and the applications, markets, and policies that shape them.
172 |
173 |
174 | ## Blogs
175 | - [HPCWire](https://www.hpcwire.com/) - Since 1987 covering the fastest computers in the world and the people who run them.
176 | - [InsideHPC](https://insidehpc.com/) - insideHPC is a global publication recognized for its comprehensive and insightful coverage of the HPC-AI community, linking vendors, end-users and HPC strategists.
177 | - [The Next Platform](https://www.nextplatform.com/category/hpc/) - Offers in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds.
178 | - [The Register HPC](http://www.theregister.co.uk/data_centre/hpc/) - The Register is a leading and trusted global online enterprise technology news publication, reaching roughly 40 million readers worldwide.
179 | - [HPC at Dell](http://hpcatdell.com) - High-Performance Computing knowledge base articles from Dell.
180 |
181 | ## Conferences
182 |
183 | - [Pearc](https://pearc.acm.org/) - Practice & Experience in Advanced Research Computing.
184 | - [Supercomputing (SC)](https://supercomputing.org/) - The International Conference for High Performance Computing, Networking, Storage, and Analysis.
185 | - [Supercomputing International (ISC)](https://www.isc-hpc.com/) - The International Conference for High Performance Computing, Networking, Storage, and Analysis.
186 | - [CCGrid](https://dl.acm.org/conference/ccgrid) - IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing.
187 | - [IEEE-HPEC](https://ieee-hpec.org/) - IEEE High Performance Embedded Computing.
188 | - [Hot Chips](https://hotchips.org) - Semiconductor industry's leading conference on high-performance microprocessors and related circuits.
189 | - [Hot Interconnects](https://hoti.org) - IEEE conference on software architectures and implementations for interconnection networks of all scales.
190 | - [ESSA](https://sites.google.com/view/essa-2024/) - Workshop on Extreme-Scale Storage and Analysis.
191 | - [IEEE-IPDPS](https://www.ipdps.org/) - IEEE International Parallel & Distributed Processing Symposium.
192 | - [ESPM2 Workshop](http://nowlab.cse.ohio-state.edu/espm2/) - International Workshop on Extreme Scale Programming Models and Middleware.
193 | - [LCI Workshops](https://linuxclustersinstitute.org/workshops/) - The Linux Clusters Institute (LCI) is providing education and advanced technical training for the deployment and use of computing clusters to the high performance computing community worldwide.
194 | - [HPC Carpentry](https://www.hpc-carpentry.org/) - Teaching basic skills for high-performance computing.
195 |
196 | ## Websites
197 |
198 | - [Top500](https://top500.org) - The TOP500 project ranks and details the 500 most powerful non-distributed computer systems in the world.
199 |
200 | ## User Groups
201 | - [MVAPICH](https://mug.mvapich.cse.ohio-state.edu/) - The MUG conference provides an open forum for all attendees (users, system administrators, researchers, engineers, and students) to discuss and share their knowledge on using MVAPICH libraries.
202 | - [Slurm](https://slurm.schedmd.com/slurm_ug_agenda.html) - The annual Slurm user group meeting.
203 |
204 | ## Contributing
205 |
206 | Contributing guidelines can be found in [contributing.md](contributing.md).
207 |
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/contributing.md:
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1 | # Contribution Guidelines
2 |
3 | Please open a new issue to clarify any questions.
4 |
5 | - Ensure to add only valuable resources
6 | - Use a meaningful commit message
7 | - Ensure your link is valid a publicly accessible
8 | - Feel free to include images where appropriate
9 | - Remember the maintainers are giving their own time to help the community, so please make your contributions worthwhile
10 |
11 | When your contribution is accepted you can add the Awesome Uno Platform Badge to your repository
12 | thus signaling the quality of your work and linking to others authors Awesome projets
13 |
14 |
15 |
16 |
17 |
18 | ```html
19 |
20 |
21 |
22 | ```
23 |
24 | Ensure your pull request adheres to the following guidelines:
25 |
26 | - Search previous suggestions before making a new one, as yours may be a duplicate.
27 | - The pull request should have a meaningful title and include a link to the resource and why it's awesome.
28 | - Make an individual pull request for each suggestion.
29 | - Use the following format: `[resource](link) - Description by [Source Code](link to source code)`license`.`
30 | - Use [title-casing](http://titlecapitalization.com) (AP style).
31 | - Additions should be added to the bottom of the relevant category.
32 | - New categories, or improvements to the existing categorization are welcome.
33 | - Keep descriptions short and simple, but descriptive.
34 | - Start the description with a capital.
35 | - Check your spelling and grammar.
36 | - Make sure your text editor is set to remove trailing whitespace.
37 |
38 |
39 | Other recommendations:
40 |
41 | - See [Editing files in another user's repository](https://help.github.com/articles/editing-files-in-another-user-s-repository/), [Creating Pull Requests](https://help.github.com/articles/creating-a-pull-request/), [Using Pull Requests](https://help.github.com/articles/using-pull-requests/) for help on sending your patch.
42 | - A website to help you format new entries is available at https://n8225.github.io/
43 |
44 | Thank you for your suggestions!
45 |
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/developing.md:
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1 | # Developing with markdown
2 |
3 | ## Previewing
4 | We use the python [grip](https://github.com/joeyespo/grip) package to preview the markdown
5 | using the github api
6 |
7 | To install grip, simply:
8 |
9 | ```console
10 | pip install grip
11 | ```
12 |
13 |
14 | on OS X, use Homebrew
15 |
16 | ```console
17 | brew install grip
18 | ```
19 |
20 |
21 | ### Running
22 |
23 | ```console
24 | $ cd myrepo
25 | $ grip
26 | * Running on http://localhost:6419/
27 | ```
28 |
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/emerging.md:
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1 | # Emerging HPC Tools and Software
2 | This document tracks emerging tools and software which we
3 | wish to keep an eye on with the possibility of adding to
4 | the main awesome list. Typically these tools are either not
5 | released yet or have not matured to a stable usable form for
6 | use in production HPC environments.
7 |
8 |
9 | * [DLIO](https://ieeexplore.ieee.org/document/9499416) - A Data-Centric Benchmark for Scientific Deep Learning Applications.
10 | * https://merlin.readthedocs.io/en/latest/
11 | * https://llnl-conduit.readthedocs.io/en/latest/
12 | * https://ciq.co/products/fuzzball/hpc/
13 |
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