C++ HPC

Open-source C++ projects categorized as HPC

High Performance Computing. Scientists, engineers, and researchers use high performance computing (HPC) for incredibly computationally intensive tasks, like those used in weather forecasting, oil and gas exploration, physics, quantum mechanics, and other areas.

While HPC can be run on a single system, its real power comes from connecting multiple HPC nodes into a cluster, which may also be called a supercomputer. This provides the capabilities to compute extreme-scale simulations that are not feasible or even possible on a single system.

Top 23 C++ HPC Projects

  • ArrayFire

    ArrayFire: a general purpose GPU library.

  • InfluxDB

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  • FluidX3D

    The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

    Project mention: FluidX3D | news.ycombinator.com | 2024-03-24
  • mfem

    Lightweight, general, scalable C++ library for finite element methods

  • Boost.Compute

    A C++ GPU Computing Library for OpenCL

  • VkFFT

    Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

    Project mention: [P] - VkFFT now supports quad precision (double-double) FFT computation on GPU | /r/MachineLearning | 2023-09-27

    Hello, I am the creator of the VkFFT - GPU Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL/Level Zero and Metal. In the latest update, I have added support for quad-precision double-double emulation for FFT calculation on most modern GPUs. I understand that modern ML is going in the opposite low-precision direction, but I still think that it may be useful to have this functionality at least for some prototyping and development of concepts.

  • MatX

    An efficient C++17 GPU numerical computing library with Python-like syntax

    Project mention: An efficient C++17 GPU numerical computing library with Python-like syntax | /r/programming | 2023-10-05
  • AdaptiveCpp

    Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

    Project mention: AdaptiveCpp | news.ycombinator.com | 2024-05-18
  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  • RaftLib

    The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators

  • cccl

    CUDA C++ Core Libraries

    Project mention: GDlog: A GPU-Accelerated Deductive Engine | news.ycombinator.com | 2023-12-03

    https://github.com/topics/datalog?l=rust ... Cozo, Crepe

    Crepe: https://github.com/ekzhang/crepe :

    > Crepe is a library that allows you to write declarative logic programs in Rust, with a Datalog-like syntax. It provides a procedural macro that generates efficient, safe code and interoperates seamlessly with Rust programs.

    Looks like there's not yet a Python grammar for the treeedb tree-sitter: https://github.com/langston-barrett/treeedb :

    > Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.

    Looks like roxi supports n3, which adds `=>` "implies" to the Turtle lightweight RDF representation: https://github.com/pbonte/roxi

    FWIW rdflib/owl-rl: https://owl-rl.readthedocs.io/en/latest/owlrl.html :

    > simple forward chaining rules are used to extend (recursively) the incoming graph with all triples that the rule sets permit (ie, the “deductive closure” of the graph is computed).

    ForwardChainingStore and BackwardChainingStore implementations w/ rdflib in Python: https://github.com/RDFLib/FuXi/issues/15

    Fast CUDA hashmaps

    Gdlog is built on CuCollections.

    GPU HashMap libs to benchmark: Warpcore, CuCollections,

    https://github.com/NVIDIA/cuCollections

    https://github.com/NVIDIA/cccl

    https://github.com/sleeepyjack/warpcore

    /? Rocm HashMap

    DeMoriarty/DOKsparse:

  • eve

    Expressive Vector Engine - SIMD in C++ Goes Brrrr (by jfalcou)

  • Fastor

    A lightweight high performance tensor algebra framework for modern C++

  • oneMKL

    oneAPI Math Kernel Library (oneMKL) Interfaces

  • relion

    Image-processing software for cryo-electron microscopy

  • blitz

    Blitz++ Multi-Dimensional Array Library for C++ (by blitzpp)

  • ginkgo

    Numerical linear algebra software package (by ginkgo-project)

  • occa

    Portable and vendor neutral framework for parallel programming on heterogeneous platforms.

    Project mention: Portable and vendor neutral parallel programming on heterogeneous platforms | news.ycombinator.com | 2024-04-11
  • alpaka

    Abstraction Library for Parallel Kernel Acceleration :llama: (by alpaka-group)

  • BabelStream

    STREAM, for lots of devices written in many programming models

  • Umpire

    An application-focused API for memory management on NUMA & GPU architectures (by LLNL)

  • hlslib

    A collection of extensions for Vitis and Intel FPGA OpenCL to improve developer quality of life.

  • qmcpack

    Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

  • ADIOS2

    Next generation of ADIOS developed in the Exascale Computing Program

    Project mention: What Every Developer Should Know About GPU Computing | news.ycombinator.com | 2023-10-21

    I thought I'd share something with my experience with HPC that applies to many areas, especially in the rise of GPUs.

    The main bottleneck isn't compute, it is memory. If you go to talks you're gonna see lots of figures like this one[0] (typically also showing disk speeds, which are crazy small).

    Compute is increasing so fast that at this point we finish our operations long faster than it takes to save those simulations or even create the visualizations and put on disk. There's a lot of research going into this, with a lot of things like in situ computing (asynchronous operations, often pushing to a different machine, but needing many things like flash buffers. See ADIOS[1] as an example software).

    What I'm getting at here is that we're at a point where we have to think about that IO bottleneck, even for non-high performance systems. I work in ML now, which we typically think of as compute bound, but being in the generative space there are still many things where the IO bottlenecks. This can be loading batches into memory, writing results to disk, or communication between distributed processes. It's one beg reason we typically want to maximize memory usage (large batches).

    There's a lot of low hanging fruit in these areas that aren't going to be generally publishable works but are going to have lots of high impact. Just look at things like LLaMA CPP[2], where in the process they've really decreased the compute time and memory load. There's also projects like TinyLLaMa[3] who are exploring training a 1B model and doing so on limited compute, and are getting pretty good results. But I'll tell you from personal experience, small models and limited compute experience doesn't make for good papers (my most cited work did this and has never been published, gotten many rejections for not competing with models 100x it's size, but is also quite popular in the general scientific community who work with limited compute). Wfiw, companies that are working on applications do value these things, but it is also noise in the community that's hard to parse. Idk how we can do better as a community to not get trapped in these hype cycles, because real engineering has a lot of these aspects too, and they should be (but aren't) really good areas for academics to be working in. Scale isn't everything in research, and there's a lot of different problems out there that are extremely important but many are blind to.

    And one final comment, there's lots of code that is used over and over that are not remotely optimized and can be >100x faster. Just gotta slow down and write good code. The move fast and break things method is great for getting moving but the debt compounds. It's just debt is less visible, but there's so much money being wasted from writing bad code (and LLMs are only going to amplify this. They were trained on bad code after all)

    [0] https://drivenets.com/wp-content/uploads/2023/05/blog-networ...

    [1] https://github.com/ornladios/ADIOS2

    [2] https://github.com/ggerganov/llama.cpp

    [3] https://github.com/jzhang38/TinyLlama

  • nekRS

    our next generation fast and scalable CFD code

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

C++ HPC discussion

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C++ HPC related posts

  • ChipStar: Run CUDA/Hip on SPIR-V via OpenCL/Level Zero

    1 project | news.ycombinator.com | 15 Dec 2023
  • An efficient C++17 GPU numerical computing library with Python-like syntax

    1 project | /r/programming | 5 Oct 2023
  • MatX: Efficient C++17 GPU numerical computing library with Python-like syntax

    1 project | /r/patient_hackernews | 5 Oct 2023
  • Learn WebGPU

    9 projects | news.ycombinator.com | 27 Apr 2023
  • Standard way of doing maths with arrays?

    2 projects | /r/cpp_questions | 9 Mar 2023
  • Blaze: High Performance Mathematics In C++

    2 projects | news.ycombinator.com | 16 Jan 2023
  • Sarus VS Podman: comparison of both technologies

    1 project | /r/podman | 25 Jun 2022
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    www.influxdata.com | 25 Jun 2024
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Index

What are some of the best open-source HPC projects in C++? This list will help you:

Project Stars
1 ArrayFire 4,446
2 FluidX3D 3,423
3 mfem 1,608
4 Boost.Compute 1,510
5 VkFFT 1,466
6 MatX 1,131
7 AdaptiveCpp 1,081
8 RaftLib 934
9 cccl 911
10 eve 878
11 Fastor 716
12 oneMKL 582
13 relion 436
14 blitz 401
15 ginkgo 383
16 occa 381
17 alpaka 335
18 BabelStream 311
19 Umpire 306
20 hlslib 293
21 qmcpack 283
22 ADIOS2 261
23 nekRS 251

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