simveit / effective_transposeLinks
Effective transpose on Hopper GPU
☆23Updated 2 months ago
Alternatives and similar repositories for effective_transpose
Users that are interested in effective_transpose are comparing it to the libraries listed below
Sorting:
- extensible collectives library in triton☆87Updated 3 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆187Updated this week
- ☆83Updated 8 months ago
- A Quirky Assortment of CuTe Kernels☆281Updated this week
- PyTorch bindings for CUTLASS grouped GEMM.☆101Updated last month
- A bunch of kernels that might make stuff slower 😉☆54Updated this week
- ☆216Updated last year
- ☆225Updated this week
- Applied AI experiments and examples for PyTorch☆281Updated last month
- Collection of kernels written in Triton language☆136Updated 3 months ago
- ☆106Updated 10 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆184Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆90Updated 2 weeks ago
- Cataloging released Triton kernels.☆242Updated 6 months ago
- ring-attention experiments☆144Updated 8 months ago
- Fast low-bit matmul kernels in Triton☆330Updated this week
- ☆94Updated 6 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆112Updated last year
- Fastest kernels written from scratch☆290Updated 3 months ago
- DeeperGEMM: crazy optimized version☆69Updated 2 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 10 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆195Updated 2 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆205Updated last week
- ☆28Updated 5 months ago
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators☆62Updated last month
- ☆60Updated 2 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆201Updated last year
- a minimal cache manager for PagedAttention, on top of llama3.☆93Updated 10 months ago
- JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training☆51Updated last week