Alternatives and similar repositories for XLA-Report

Users that are interested in XLA-Report are comparing it to the libraries listed below

• codeplaysoftware / portDNN
  portDNN is a library implementing neural network algorithms written using SYCL
  ☆113Updated last year
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 6 years ago
• arbenson / fast-matmul
  Fast matrix multiplication
  ☆31Updated 4 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆71Updated 8 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 7 years ago
• StanfordLegion / task-bench
  A task benchmark
  ☆44Updated last year
• eth-cscs / COSMA
  Distributed Communication-Optimal Matrix-Matrix Multiplication Algorithm
  ☆210Updated this week
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago
• wahibium / KFF
  Scalable GPU Kernel Fission/Fusion Transformation for Memory-Bound Kernels
  ☆13Updated 10 years ago
• JuliaParallel / rodinia
  Julia ports of the Rodinia benchmark suite for heterogeneous computing infrastructures
  ☆54Updated 2 years ago
• IntelLabs / SpMP
  sparse matrix pre-processing library
  ☆83Updated last year
• EBD-CREST / nsparse
  Sparse matrix computation library for GPU
  ☆58Updated 5 years ago
• mlcommons / training_results_v0.5
  This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.
  ☆35Updated 5 months ago
• ecrc / kblas-gpu
  Subset of BLAS routines optimized for NVIDIA GPUs
  ☆73Updated 2 years ago
• awslabs / ratex
  ☆23Updated 2 months ago
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆66Updated 2 years ago
• danielchalef / openblas-benchmark-m1
  Benchmarking OpenBLAS on the Apple M1
  ☆18Updated 4 years ago
• alucas / StarPU
  StarPU Runtime system
  ☆16Updated 15 years ago
• mlcommons / training_policies
  Issues related to MLPerf™ training policies, including rules and suggested changes
  ☆95Updated last month
• MagmaDNN / magmadnn
  MagmaDNN: a simple deep learning framework in c++
  ☆50Updated 5 years ago
• octoml / synr
  A library for syntactically rewriting Python programs, pronounced (sinner).
  ☆68Updated 3 years ago
• flame / fmm-gen
  Generating Families of Practical Fast Matrix Multiplication Algorithms
  ☆12Updated 8 years ago
• uwsampl / relay-aot
  An experimental ahead of time compiler for Relay.
  ☆50Updated 5 years ago
• andre-wojtowicz / blas-benchmarks
  Timing results for BLAS (Basic Linear Algebra Subprograms) libraries in R
  ☆31Updated 8 years ago
• linnanwang / BLASX
  a heterogeneous multiGPU level-3 BLAS library
  ☆46Updated 5 years ago
• deep500 / deep500
  A Deep Learning Meta-Framework and HPC Benchmarking Library
  ☆81Updated 3 years ago
• ekondis / gpuroofperf-toolkit
  A GPU performance prediction toolkit for CUDA programs
  ☆18Updated 6 years ago
• hpcgarage / cuASR
  cuASR: CUDA Algebra for Semirings
  ☆39Updated 3 years ago
• dmlc / HalideIR
  Symbolic Expression and Statement Module for new DSLs
  ☆205Updated 5 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆50Updated 7 years ago