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Top 19 C++ gpu-computing Projects
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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.
I look in an example and see similar instructions, stating that the build should be quite simple. But again, it doesn't work. It generates a bunch of folders with Visual Studio stuff, but no executables, no libraries, or anything like that.
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For GPU support take a look at our library:
https://github.com/NVIDIA/MatX
If anything is missing we're happy to take feature requests.
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Project mention: AMD's HIPRT Working Its Way To Blender With ~25% Faster Rendering | /r/Amd | 2023-03-24
In fact SYCL was initially called hipSYCL because it is based on AMD's ROCm/HIP. AMD had hipSYCL code running on the Frontier supercomputer four years ago at least and continues to support it.
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cuda-api-wrappers
Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.
Project mention: WezTerm is a GPU-accelerated cross-platform terminal emulator | news.ycombinator.com | 2023-03-13> since the underlying API's are still C/C++,
If the use of GPUs is via CUDA, there are my https://github.com/eyalroz/cuda-api-wrappers/ which are RAII/CADRe, and therefore less unsafe. And on the Rust side - don't you need a bunch of unsafe code in the library enabling GPU support?
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The only one that is relatively lightweight (and doesn't have dependencies) is vuh (https://github.com/Glavnokoman/vuh) that looks unsupported.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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I tried very similar thing. My purpose was to run llama-cpp-python with CLBlast GPU acceleration via clvk on VulkanSDK on my M1 Max computer. I downloaded VulkanSDK for macOS, cloned clvk(https://github.com/kpet/clvk) and CLBlast. Build was successful but there is a problem; when clCreateCommandQueue function was called with CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE option(in ggml-opencl.c of llama.cpp) , an error was happened and I do not know how to handle it.
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Project mention: Has anyone been able to get lmfit working with GPU/cuda, or know some other GPU based curve fitting library? | /r/learnpython | 2022-09-16
There's GPUFit, but it doesn't seem as easy an flexible, and it looks like I'll have to write all my own fitting models and then recompile, which, I'll do it if I have to, but I really prefer the flexibility that lmfit provides.
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Project mention: [P] OpenCL backend for PyTorch - progress works with mainstream pytorch | /r/MachineLearning | 2022-10-31
I'm working on PyTorch OpenCL backend based on dlprimitives core library. It exists for a while but until now it required building custom pytorch version.
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ParallelReductionsBenchmark
Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!
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We are developing this EO data processing acceleration project - https://github.com/cgi-estonia-space/ALUs and currently the baseline is 20.04. I could mingle with docker containers for development, but it is easier to make sure that everything is working and aligned with the base platform.
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OpenCL_Wrapper_By_PunalManalan
Lightweight, Easy to use OpenCL Wrapper By Punal Manalan. 'OCLW_P::OpenCLWrapper' This Single line of code does Everything In a Compact And Easy to Manage Manner!. Use this code wherever and whenever you want to!
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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).
The latest post mention was on 2023-05-20.
C++ gpu-computing related posts
- LangChain / LlamaCpp on M1 GPU (MPS)?
- Blaze: High Performance Mathematics In C++
- How CUDA Programming Works
- are there communities for cuda devs so we can talk and grow together?
- Thin C++-Flavored Wrappers for the CUDA APIs: Runtime, Driver, Nvrtc and NVTX
- Failing to Reach 204 GB/S DDR4 Bandwidth
- Resources for Vulkan GPGPU searched
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A note from our sponsor - Sonar
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Index
What are some of the best open-source gpu-computing projects in C++? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | kompute | 1,156 |
| 2 | stdgpu | 913 |
| 3 | MatX | 729 |
| 4 | OpenSYCL | 715 |
| 5 | cuda-api-wrappers | 615 |
| 6 | triSYCL | 415 |
| 7 | vuh | 326 |
| 8 | ginkgo | 293 |
| 9 | clvk | 270 |
| 10 | Gpufit | 265 |
| 11 | AutoDock-GPU | 252 |
| 12 | beatmup | 172 |
| 13 | dlprimitives | 107 |
| 14 | cuda_memtest | 88 |
| 15 | gpuowl | 83 |
| 16 | ParallelReductionsBenchmark | 55 |
| 17 | OpenCL-Benchmark | 42 |
| 18 | ALUs | 7 |
| 19 | OpenCL_Wrapper_By_PunalManalan | 3 |
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