Alternatives and similar repositories for tiny-dpcpp-nn

Users that are interested in tiny-dpcpp-nn are comparing it to the libraries listed below

• huggingface / hf-rocm-kernels
  ☆22Updated 3 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆109Updated 9 months ago
• Libraries-Openly-Fused / FusedKernelLibrary
  Implementation of a methodology that allows all sorts of user defined GPU kernel fusion, for non CUDA programmers.
  ☆26Updated last week
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆55Updated 3 weeks ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆107Updated last year
• hyhieu / easy_pybind
  ☆32Updated last year
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆167Updated last week
• RadeonFlow / RadeonFlow_Kernels
  Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
  ☆71Updated this week
• NVIDIA / nsight-vscode-edition
  A Visual Studio Code extension for building and debugging CUDA applications.
  ☆91Updated last month
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆100Updated 4 months ago
• manishucsd / py-codegen
  ☆16Updated last year
• iree-org / iree-nvgpu
  ☆50Updated last year
• iree-org / wave
  Wave: Python Domain-Specific Language for High Performance Machine Learning
  ☆17Updated this week
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆125Updated last week
• ROCm / aotriton
  Ahead of Time (AOT) Triton Math Library
  ☆81Updated this week
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆360Updated this week
• ROCm / amd_matrix_instruction_calculator
  A tool for generating information about the matrix multiplication instructions in AMD Radeon™ and AMD Instinct™ accelerators
  ☆119Updated 5 months ago
• intel / torch-xpu-ops
  ☆61Updated last week
• ademeure / cuda-side-boost
  ☆47Updated 6 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆90Updated 7 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆277Updated this week
• north-numerical-computing / tensor-cores-numerical-behavior
  Test suite for probing the numerical behavior of NVIDIA tensor cores
  ☆41Updated last year
• ROCm / TransformerEngine
  ☆51Updated this week
• HanGuo97 / log-linear-attention
  ☆252Updated 5 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆176Updated last year
• LaurieWired / BenchmarkCustomPTX
  Custom PTX Instruction Benchmark
  ☆131Updated 8 months ago
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆65Updated 2 weeks ago
• luongthecong123 / fp8-quant-matmul
  Row-wise block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge.
  ☆16Updated last month
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆70Updated last month
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆146Updated last year