clspv VS Bolt

Compare clspv vs Bolt and see what are their differences.

clspv

Clspv is a compiler for OpenCL C to Vulkan compute shaders (by google)

Bolt

Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort. (by HSA-Libraries)
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clspv Bolt
8 3
574 370
2.3% -
9.0 0.0
8 days ago about 8 years ago
LLVM C++
Apache License 2.0 GNU General Public License v3.0 or later
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.

clspv

Posts with mentions or reviews of clspv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-09.
  • Vcc – The Vulkan Clang Compiler
    9 projects | news.ycombinator.com | 9 Jan 2024
    See https://github.com/google/clspv for an OpenCL implementation on Vulkan Compute. There are plenty of quirks involved because the two standards use different varieties of SPIR-V ("kernels" vs. "shaders") and provide different guarantees (Vulkan Compute doesn't care much about numerical accuracy). The Mesa folks are also looking into this as part of their RustiCL (a modern OpenCL implementation) and Zink (implementing OpenGL and perhaps OpenCL itself on Vulkan) projects.
  • AMD's CDNA 3 Compute Architecture
    7 projects | news.ycombinator.com | 17 Dec 2023
    Vulkan Compute backends for numerical compute (as typified by both OpenCL and SYCL) are challenging, you can look at Google's cspv https://github.com/google/clspv project for the nitty gritty details. The lowest-effort path is actually via some combination of Rocm (for hardware that AMD bothers to support themselves) and the Mesa project's Rusticl backend (for everything else).
  • WSL with CUDA Support
    2 projects | news.ycombinator.com | 22 Jan 2022
    D3D12 has more compute features than Vulkan has. It works out for DXVK because games often don’t use those, but it’ll cause much more issues with CLon12.

    By the way, if you are ready to have a _limited_ implementation without a full feature set because of Vulkan API limitations, clvk is a thing. The list of limitations of that approach is at https://github.com/google/clspv/blob/master/docs/OpenCLCOnVu...

    tldr: Vulkan and OpenCL SPIR-V dialects are different, and the former has significant limitations affecting this use case

  • Resources for Vulkan GPGPU searched
    6 projects | /r/vulkan | 12 Jan 2022
  • Low overhead C++ interface for Apple's Metal API
    8 projects | news.ycombinator.com | 22 Nov 2021
    For OpenCL on DX12, the test suite doesn't pass yet. Every Khronos OpenCL 1.2 CTS test passes on at least one hardware driver, but there's none that pass them all. That is why CLon12 isn't submitted to Khronos's compliant products list yet.

    The pointer semantics that Vulkan has aren't very amenable to implementing a compliant OpenCL implementation on top of. There are also some other limitatons: https://github.com/google/clspv/blob/master/docs/OpenCLCOnVu....

  • [Hardware Unboxed] - Apple M1 Pro Review - Is It Really Faster than Intel/AMD?
    2 projects | /r/hardware | 10 Nov 2021
    Vulkan is much more limited, notably because of Vulkan's SPIR-V dialect limitations. That makes a compliant OpenCL 1.2 impl on top of Vulkan impossible. (see: https://github.com/google/clspv/blob/master/docs/OpenCLCOnVulkan.md)
  • Cross Platform GPU-Capable Framework?
    6 projects | /r/gpgpu | 1 Aug 2021
    OpenCL really is your best bet for a cross-platform GPU-capable framework. OpenCL 3.0 cleared out a lot of the cruft from OpenCL 2.x so it's seeing a lot more adoption. The most cross-platform solution is still OpenCL 1.2, largely for MacOS, but OpenCL 3.0 is becoming more and more common for Windows and Linux and multiple devices. Even on platforms without native OpenCL support there are compatibility layers that implement OpenCL on top of DirectX (OpenCLOn12) or Vulkan (clvk and clspv).

Bolt

Posts with mentions or reviews of Bolt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-17.
  • AMD's CDNA 3 Compute Architecture
    7 projects | news.ycombinator.com | 17 Dec 2023
    this is frankly starting to sound a lot like the ridiculous "blue bubbles" discourse.

    AMD's products have generally failed to catch traction because their implementations are halfassed and buggy and incomplete (despite promising more features, these are often paper features or career-oriented development from now-departed developers). all of the same "developer B" stuff from openGL really applies to openCL as well.

    http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...

    AMD has left a trail of abandoned code and disappointed developers in their wake. These two repos are the same thing for AMD's ecosystem and NVIDIA's ecosystem, how do you think the support story compares?

    https://github.com/HSA-Libraries/Bolt

    https://github.com/NVIDIA/thrust

    in the last few years they have (once again) dumped everything and started over, ROCm supported essentially no consumer cards and rotated support rapidly even in the CDNA world. It offers no binary compatibility support story, it has to be compiled for specific chips within a generation, not even just "RDNA3" but "Navi 31 specifically". Etc etc. And nobody with consumer cards could access it until like, six months ago, and that still is only on windows, consumer cards are not even supported on linux (!).

    https://geohot.github.io/blog/jekyll/update/2023/06/07/a-div...

    This is on top of the actual problems that still remain, as geohot found out. Installing ROCm is a several-hour process that will involve debugging the platform just to get it to install, and then you will probably find that the actual code demos segfault when you run them.

    AMD's development processes are not really open, and actual development is silo'd inside the company with quarterly code dumps outside. The current code is not guaranteed to run on the actual driver itself, they do not test it even in the supported configurations.

    it hasn't got traction because it's a low-quality product and nobody can even access it and run it anyway.

  • High quality OpenCL compute libraries
    1 project | /r/OpenCL | 16 Oct 2022
    what I'm saying is there are options on that that make it more likely for what you're looking to exist; I haven't surveyed the existing libs as much but without templates and the integration of single source you're not bound to find libraries to exist; it's why opencl doesn't have those things really; however I name droped the amd targetted OpenCL thrust equivalent - https://github.com/HSA-Libraries/Bolt - I don't know if you can really achieve opencl multi-accelerator compatibility with it though.
  • Nvidia in the Valley
    5 projects | news.ycombinator.com | 26 Sep 2022
    OpenCL had a bit of a "second-mover curse" where instead of trying to solve one problem (GPGPU acceleration) it tried to solve everything (a generalized framework for heterogeneous dispatch) and it just kinda sucks to actually use. It's not that it's slower or faster, in principle it should be the same speed when dispatched to the hardware (+/- any C/C++ optimization gotchas of course), but it just requires an obscene amount of boilerplate to "draw the first triangle" (or, launch the first kernel), much like Vulkan.

    HIP was supposed to rectify this, but now you're buying into AMD's custom language and its limitations... and there are limitations, things that CUDA can do that HIP can't (texture unit access was an early one - and texture units aren't just for texturing, they're for coalescing all kinds of 2d/3d/higher-dimensional memory access). And AMD has a history of abandoning these projects after a couple years and leaving them behind and unsupported... like their Thrust framework counterpart, Bolt, which hasn't been updated in 8 years now.

    https://github.com/HSA-Libraries/Bolt

    The old bit about "Vendor B" leaving behind a "trail of projects designed to pad resumes and show progress to middle managers" still reigns absolutely true with AMD. AMD has a big uphill climb in general to shake this reputation about being completely unserious with their software... and I'm not even talking about drivers here.

    http://richg42.blogspot.com/2014/05/the-truth-on-opengl-driv...

What are some alternatives?

When comparing clspv and Bolt you can also consider the following projects:

OpenCLOn12 - The OpenCL-on-D3D12 mapping layer

Boost.Compute - A C++ GPU Computing Library for OpenCL

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

GLSL - GLSL Shading Language Issue Tracker

moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

MoltenVK - MoltenVK is a Vulkan Portability implementation. It layers a subset of the high-performance, industry-standard Vulkan graphics and compute API over Apple's Metal graphics framework, enabling Vulkan applications to run on macOS, iOS and tvOS.

junction - Concurrent data structures in C++

SPIRV-VM - Virtual machine for executing SPIR-V

HPX - The C++ Standard Library for Parallelism and Concurrency