gvk
ParallelReductionsBenchmark
gvk | ParallelReductionsBenchmark | |
---|---|---|
3 | 2 | |
17 | 60 | |
- | - | |
4.6 | 4.7 | |
about 1 month ago | 12 days ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | - |
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gvk
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Vulkan Abstraction
You could try Intel GVK (I'm the author).
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Brick Breaker
Vulkan graphics via Intel GVK, and physics via Bullet
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.
What are some alternatives?
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
vulkan_best_practice_for_mobile_developers - Vulkan best practice for mobile developers
ispc - IntelĀ® Implicit SPMD Program Compiler
filament - Filament is a real-time physically based rendering engine for Android, iOS, Windows, Linux, macOS, and WebGL2
gpuowl - GPU Mersenne primality test.
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends
relion - Image-processing software for cryo-electron microscopy
amgcl - C++ library for solving large sparse linear systems with algebraic multigrid method