ScalingIntelligence / KernelBenchLinks
KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
☆468Updated this week
Alternatives and similar repositories for KernelBench
Users that are interested in KernelBench are comparing it to the libraries listed below
Sorting:
- ☆225Updated this week
- Cataloging released Triton kernels.☆242Updated 6 months ago
- kernels, of the mega variety☆441Updated last month
- Fast low-bit matmul kernels in Triton☆330Updated this week
- A Quirky Assortment of CuTe Kernels☆281Updated this week
- Applied AI experiments and examples for PyTorch☆281Updated last month
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆195Updated 2 months ago
- Perplexity GPU Kernels☆395Updated last month
- Collection of kernels written in Triton language☆136Updated 3 months ago
- ring-attention experiments☆144Updated 8 months ago
- LLM KV cache compression made easy☆535Updated this week
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆561Updated 3 weeks ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆205Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆184Updated this week
- Fastest kernels written from scratch☆290Updated 3 months ago
- Distributed Compiler based on Triton for Parallel Systems☆880Updated this week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆255Updated this week
- extensible collectives library in triton☆87Updated 3 months ago
- ☆83Updated 8 months ago
- Scalable toolkit for efficient model reinforcement☆499Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆224Updated 7 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆187Updated this week
- ☆110Updated 3 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆643Updated this week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆134Updated last year
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆359Updated 2 weeks ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆717Updated 4 months ago
- Zero Bubble Pipeline Parallelism☆406Updated 2 months ago
- ☆216Updated last year
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,391Updated this week