ParallelReductionsBenchmark
vuda
| ParallelReductionsBenchmark | vuda | |
|---|---|---|
| 2 | 6 | |
| 59 | 835 | |
| - | - | |
| 4.6 | 3.2 | |
| 5 months ago | 3 months ago | |
| C++ | C++ | |
| - | MIT License |
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ParallelReductionsBenchmark
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Failing to Reach 204 GB/S DDR4 Bandwidth
For the single threaded version, they have a data hazard on the sums that could be smoothed out with a little loop unrolling and separate variables.
But in the [threaded version](https://github.com/unum-cloud/ParallelReductions/blob/fd16d9...) they have separate slots for an accumulator but it's still in a shared vector, which most likely has the issue I described.
vuda
- VUDA: A Vulkan Implementation of CUDA
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Where to Learn Vulkan for parallel computation (with references to porting from CUDA)
There is actually a project on Github which tries to mimic the CPU-side code from CUDA to Vulkan projects, called VUDA.
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Blender 3.0
There is something, though. I remember looking at VUDA which, while it's not a drop-in replacement, is a pretty good proof of concept
What are some alternatives?
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
ispc - Intel® Implicit SPMD Program Compiler
autograph - Machine Learning Library for Rust
gpuowl - GPU Mersenne primality test.
cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
shaders - Circle C++ shaders
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]