xiaoyi018 / simple_gemmLinks
☆22Updated 4 years ago
Alternatives and similar repositories for simple_gemm
Users that are interested in simple_gemm are comparing it to the libraries listed below
Sorting:
- ☆98Updated 4 years ago
- This is a demo how to write a high performance convolution run on apple silicon☆57Updated 3 years ago
- symmetric int8 gemm☆67Updated 5 years ago
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆141Updated last week
- how to design cpu gemm on x86 with avx256, that can beat openblas.☆73Updated 6 years ago
- ☆21Updated 4 years ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆133Updated 2 years ago
- play gemm with tvm☆92Updated 2 years ago
- MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器☆490Updated last year
- ☆18Updated last week
- ☆116Updated last year
- A Triton JIT runtime and ffi provider in C++☆29Updated last month
- ☆19Updated 3 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆43Updated 9 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆102Updated 7 years ago
- ☆113Updated 8 months ago
- mperf是一个面向移动/嵌入式平台的算子性能调优工具箱☆191Updated 2 years ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆190Updated 10 months ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆112Updated last year
- simplify >2GB large onnx model☆69Updated last year
- ☆140Updated last year
- ☆60Updated last year
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆51Updated last year
- This is an implementation of sgemm_kernel on L1d cache.☆232Updated last year
- LLM Inference via Triton (Flexible & Modular): Focused on Kernel Optimization using CUBIN binaries, Starting from gpt-oss Model☆56Updated last month
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆134Updated 6 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 2 months ago
- A quantization algorithm for LLM☆146Updated last year
- ☆212Updated last year