DeMoriarty / custom_matmul_kernelsLinks
Customized matrix multiplication kernels
☆56Updated 3 years ago
Alternatives and similar repositories for custom_matmul_kernels
Users that are interested in custom_matmul_kernels are comparing it to the libraries listed below
Sorting:
- CUDA templates for tile-sparse matrix multiplication based on CUTLASS.☆51Updated 7 years ago
- Codebase associated with the PyTorch compiler tutorial☆46Updated 5 years ago
- ☆157Updated last year
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆65Updated 3 years ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- Memory Optimizations for Deep Learning (ICML 2023)☆64Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆131Updated 3 years ago
- Block-sparse primitives for PyTorch☆156Updated 4 years ago
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated last week
- Torch Distributed Experimental☆116Updated 10 months ago
- pytorch-profiler☆51Updated 2 years ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆166Updated this week
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- A library of GPU kernels for sparse matrix operations.☆265Updated 4 years ago
- ☆50Updated last year
- A library for unit scaling in PyTorch☆125Updated 6 months ago
- Butterfly matrix multiplication in PyTorch☆169Updated last year
- ☆167Updated last year
- Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to …☆46Updated 3 years ago
- Research and development for optimizing transformers☆129Updated 4 years ago
- GEMM and Winograd based convolutions using CUTLASS☆26Updated 4 years ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆136Updated this week
- Implementation of a Transformer, but completely in Triton☆268Updated 3 years ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆109Updated 11 months ago
- Experiment of using Tangent to autodiff triton☆79Updated last year
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆45Updated 11 months ago
- DLPack for Tensorflow☆35Updated 5 years ago
- Hacks for PyTorch☆19Updated 2 years ago
- A block oriented training approach for inference time optimization.☆33Updated 10 months ago
- ☆63Updated this week