feifeibear / swDNNLinks
a highly-efficient library for deep neural networks based on Sunway TaihuLight supercomputer.
☆17Updated 7 years ago
Alternatives and similar repositories for swDNN
Users that are interested in swDNN are comparing it to the libraries listed below
Sorting:
- A highly efficient library for GEMM operations on Sunway TaihuLight☆18Updated 5 years ago
- This is an implementation of sgemm_kernel on L1d cache.☆233Updated last year
- CUDA PTX-ISA Document 中文翻译版☆48Updated 3 months ago
- ☆29Updated last year
- ☆118Updated last year
- ☆156Updated last year
- examples for tvm schedule API☆101Updated 2 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆84Updated 2 years ago
- Yinghan's Code Sample☆363Updated 3 years ago
- Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .☆147Updated 2 weeks ago
- play gemm with tvm☆92Updated 2 years ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆398Updated last year
- ☆119Updated 9 months ago
- ☆18Updated last month
- a tensor computing compiler based tile programming for gpu, cpu or tpu☆45Updated 4 months ago
- Assembler and Decompiler for NVIDIA (Maxwell Pascal Volta Turing Ampere) GPUs.☆95Updated 2 years ago
- A home for the final text of all TVM RFCs.☆108Updated last year
- performance engineering☆30Updated last year
- Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.☆160Updated 3 years ago
- Compiler Infrastructure for Neural Networks☆147Updated 2 years ago
- ☆15Updated 3 years ago
- Some source code about matrix multiplication implementation on CUDA☆34Updated 7 years ago
- code reading for tvm☆76Updated 3 years ago
- ☆24Updated 3 years ago
- How to optimize sgemm in single-thread ARM cpu, mutli-threads ARM cpu and Nvidia gpu☆23Updated 4 years ago
- Triton Compiler related materials.☆39Updated last year
- Automatic Schedule Exploration and Optimization Framework for Tensor Computations☆183Updated 3 years ago
- A simple deep learning framework that supports automatic differentiation and GPU acceleration.☆59Updated 2 years ago
- Dissecting NVIDIA GPU Architecture☆116Updated 3 years ago
- ☆279Updated 2 months ago