wzc314

cuda_reduce

Trying out the reduction kernels from The CUDA Handbook by Nicolas Wilt and Mark Harris' (NVIDIA) reduction kernels

cudahandbook

Source code that accompanies The CUDA Handbook.

xilinx-ethash

Run ethash opencl kernel on Xilinx's Alveo U50

Batched-SpMM

New batched algorithm for sparse matrix-matrix multiplication (SpMM)

SpDNN_Challenge2020

Codebase for the 2020 Graph Challenge

Graphchallenge21

graph challenge 2021

dgSPARSE-Lib

PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity

dgSPARSE-Library

merge-spmv

ASpT-mirror

Mirror of http://gitlab.hpcrl.cse.ohio-state.edu/chong/ppopp19_ae, refactoring for understanding

merge-spmm

Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018

spECK

Efficient SpGEMM on GPU using CUDA and CSR

cublas_dgemm_batched

SpMV-on-Many-Core

A cross-platform Sparse Matrix Vector Multiplication (SpMV) framework for many-core architectures (GPUs and Xeon Phi).

ge-spmm

myGEMM

Code appendix to an OpenCL matrix-multiplication tutorial

batched_gemm

Batched_gemm

maxas

Assembler for NVIDIA Maxwell architecture

tSparse

A GPU algorithm for sparse matrix-matrix multiplication

gcoospdm

Sparse-dense matrix-matrix multiplication on GPUs

sputnik

A library of GPU kernels for sparse matrix operations.

gpu-sparsert

cutlass_tilesparse

CUDA templates for tile-sparse matrix multiplication based on CUTLASS.

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

CUDA_Freshman

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

AmpereSparseMatmul

study of Ampere' Sparse Matmul

torch-blocksparse

Block-sparse primitives for PyTorch

TileSparsity