OpenCL-Guide VS oneDNN

Compare OpenCL-Guide vs oneDNN and see what are their differences.

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OpenCL-Guide oneDNN
1 5
11 3,471
- 2.0%
0.0 10.0
over 2 years ago about 6 hours ago
C++ C++
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenCL-Guide

Posts with mentions or reviews of OpenCL-Guide. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-28.

oneDNN

Posts with mentions or reviews of oneDNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-17.
  • Blaze: A High Performance C++ Math library
    7 projects | news.ycombinator.com | 17 Apr 2024
    If you are talking about non-small matrix multiplication in MKL, is now in opensource as a part of oneDNN. It literally has exactly the same code, as in MKL (you can see this by inspecting constants or doing high-precision benchmarks).

    For small matmul there is libxsmm. It may take tremendous efforts make something faster than oneDNN and libxsmm, as jit-based approach of https://github.com/oneapi-src/oneDNN/blob/main/src/gpu/jit/g... is too flexible: if someone finds a better sequence, oneDNN can reuse it without major change of design.

    But MKL is not limited to matmul, I understand it...

  • Arc & Deep Learning Frameworks
    1 project | /r/intel | 6 Oct 2022
    For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.
  • Keeping POWER relevant in the open source world
    9 projects | news.ycombinator.com | 22 Jan 2022
  • Intel oneDNN 2.5 released with experimental RISC-V support
    2 projects | /r/RISCV | 9 Dec 2021
    From the release note of oneDNN v2.5:
  • Is gpu hardware tied to cpu ISA ?
    1 project | /r/hardware | 11 Jan 2021
    Intel are trying to support their oneAPI compute framework on Arm and IBM POWER and z/Architecture (s390x) but since they ever released only a single discrete GPU with the Xe architecture it's unclear whether they'll support Xe GPU compute on e.g. ARM https://github.com/oneapi-src/oneDNN

What are some alternatives?

When comparing OpenCL-Guide and oneDNN you can also consider the following projects:

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!

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

opencl-intercept-layer - Intercept Layer for Debugging and Analyzing OpenCL Applications

CTranslate2 - Fast inference engine for Transformer models

dlprimitives - Deep Learning Primitives and Mini-Framework for OpenCL

oneDPL - oneAPI DPC++ Library (oneDPL) https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html

ArrayFire - ArrayFire: a general purpose GPU library.

highway - Highway - A Modern Javascript Transitions Manager

compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

asmjit - Low-latency machine code generation

librealsense - Intel® RealSense™ SDK

Reloaded-II - Next Generation Universal .NET Core Powered Mod Loader compatible with anything X86, X64.