Alternatives and similar repositories for Megakernels

Users that are interested in Megakernels are comparing it to the libraries listed below

• Deep-Learning-Profiling-Tools / triton-viz
  ☆219Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆322Updated this week
• ppl-ai / pplx-kernels
  Perplexity GPU Kernels
  ☆375Updated 2 weeks ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆136Updated this week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆277Updated 3 weeks ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆425Updated 3 weeks ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆281Updated 2 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆238Updated 5 months ago
• ColfaxResearch / cutlass-kernels
  ☆212Updated 11 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆396Updated 3 weeks ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆252Updated 7 months ago
• yifuwang / symm-mem-recipes
  ☆90Updated 5 months ago
• ByteDance-Seed / Triton-distributed
  Distributed Compiler Based on Triton for Parallel Systems
  ☆829Updated this week
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆131Updated 4 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆310Updated 11 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆520Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 months ago
• triton-lang / kernels
  ☆81Updated 7 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆219Updated 6 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆398Updated last month
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆99Updated 3 weeks ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆189Updated last month
• InternLM / turbomind
  ☆86Updated 2 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆359Updated 10 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆210Updated 10 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆166Updated this week
• bertmaher / simplegemm
  ☆109Updated 3 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆272Updated last year
• stanford-futuredata / stk
  ☆105Updated 9 months ago