numactl
ParallelReductionsBenchmark
numactl | ParallelReductionsBenchmark | |
---|---|---|
1 | 2 | |
383 | 60 | |
1.8% | - | |
8.1 | 4.7 | |
5 days ago | 16 days ago | |
C | C++ | |
GNU General Public License v3.0 only | - |
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numactl
ParallelReductionsBenchmark
-
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?
MatX - An efficient C++17 GPU numerical computing library with Python-like syntax
ispc - IntelĀ® Implicit SPMD Program Compiler
gpuowl - GPU Mersenne primality test.
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
laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
gpu_clock_stabilizer - Simple GPU clock stabilizer for consistent profiling
vuh - Vulkan compute for people
vuda - VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.