TiledTensor / TiledCUDA
TiledCUDA is a highly efficient kernel template library designed to elevate CUDA C’s level of abstraction for processing tiles.
☆154Updated this week
Related projects ⓘ
Alternatives and complementary repositories for TiledCUDA
- Examples of CUDA implementations by Cutlass CuTe☆98Updated last week
- Standalone Flash Attention v2 kernel without libtorch dependency☆98Updated 2 months ago
- play gemm with tvm☆84Updated last year
- ☆48Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆290Updated 2 months ago
- ☆167Updated 4 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆85Updated 8 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆52Updated 3 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆90Updated 4 months ago
- ☆79Updated 2 months ago
- ☆79Updated last year
- An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.☆49Updated 3 months ago
- ☆79Updated 8 months ago
- A fast communication-overlapping library for tensor parallelism on GPUs.☆224Updated 3 weeks ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆29Updated 2 months ago
- ☆165Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆202Updated 5 months ago
- ☆33Updated 5 months ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆49Updated 2 months ago
- Shared Middle-Layer for Triton Compilation☆191Updated this week
- High performance Transformer implementation in C++.☆82Updated 2 months ago
- CUDA Matrix Multiplication Optimization☆141Updated 4 months ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆114Updated 2 years ago
- A benchmark suited especially for deep learning operators☆41Updated last year
- A language and compiler for irregular tensor programs.☆133Updated 6 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆75Updated this week
- An experimental CPU backend for Triton☆56Updated last week
- An extension library of WMMA API (Tensor Core API)☆84Updated 4 months ago
- Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.☆81Updated last year
- ASPLOS'24: Optimal Kernel Orchestration for Tensor Programs with Korch☆29Updated 3 months ago