dawn-chu / EECS-368-Programming-Massively-Parallel-Processors-with-CUDA

Related projects ⓘ

Alternatives and complementary repositories for EECS-368-Programming-Massively-Parallel-Processors-with-CUDA

• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆114Updated 4 years ago
• cwpearson / nvidia-performance-tools
  Instructions, Docker images, and examples for Nsight Compute and Nsight Systems
  ☆127Updated 4 years ago
• cyanguwa / nersc-roofline
  ☆41Updated 4 years ago
• c3sr / tcu_scope
  ☆44Updated 5 years ago
• muriloboratto / NCCL
  Sample examples of how to call collective operation functions on multi-GPU environments. A simple example of using broadcast, reduce, all…
  ☆25Updated last year
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆59Updated 6 years ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆139Updated 3 months ago
• ColfaxResearch / cfx-article-src
  ☆47Updated 2 weeks ago
• TiledTensor / TiledCUDA
  TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
  ☆148Updated this week
• sunlex0717 / DissectingTensorCores
  ☆78Updated 6 months ago
• Huanghongru / SGEMM-Implementation-and-Optimization
  Some source code about matrix multiplication implementation on CUDA
  ☆35Updated 6 years ago
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆128Updated 3 months ago
• sjfeng1999 / gpu-arch-microbenchmark
  Dissecting NVIDIA GPU Architecture
  ☆82Updated 2 years ago
• wmmae / wmma_extension
  An extension library of WMMA API (Tensor Core API)
  ☆82Updated 3 months ago
• lixiuhong / batched_gemm
  ☆38Updated 4 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆65Updated last year
• codyjrivera / tsm2x-imp
  Implementation of TSM2L and TSM2R -- High-Performance Tall-and-Skinny Matrix-Matrix Multiplication Algorithms for CUDA
  ☆31Updated 4 years ago
• illinois-impact / gpu-algorithms-labs
  IMPACT GPU Algorithms Teaching Labs
  ☆55Updated last year
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆98Updated last month
• RichardAns / CUDA-Programs
  Examples from Programming in Parallel with CUDA
  ☆107Updated last year
• eegkno / CUDA_by_practice
  CUDA by practice
  ☆116Updated 4 years ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆85Updated 8 months ago
• mlcommons / inference_policies
  Issues related to MLPerf™ Inference policies, including rules and suggested changes
  ☆57Updated this week
• ColfaxResearch / cutlass-kernels
  ☆162Updated 3 months ago
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆15Updated 10 months ago
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆41Updated 3 years ago
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆49Updated 3 months ago
• reed-lau / cute-gemm
  ☆78Updated 8 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆48Updated 2 months ago