Alternatives and similar repositories for UIUC-CS-483-Parallel-Programming:

Users that are interested in UIUC-CS-483-Parallel-Programming are comparing it to the libraries listed below

• gpu-mode / ring-attention
  ring-attention experiments
  ☆123Updated 3 months ago
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆33Updated 6 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆35Updated 11 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆141Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆164Updated last month
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆97Updated this week
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆63Updated 4 years ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆86Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆175Updated this week
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆21Updated 9 months ago
• mit-han-lab / parallel-computing-tutorial
  ☆156Updated last year
• DefTruth / ffpa-attn-mma
  📚FFPA: Yet antother Faster Flash Prefill Attention with O(1)⚡️SRAM complexity for headdim > 256, 1.8x~3x↑🎉faster than SDPA EA.
  ☆96Updated this week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆107Updated 2 months ago
• PKUFlyingPig / MIT6.5940_TinyML
  Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing
  ☆26Updated last month
• nod-ai / techtalks
  ☆16Updated 10 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆82Updated 4 months ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆166Updated this week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆221Updated 6 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆69Updated last month
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆222Updated 2 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆280Updated 2 years ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆64Updated 7 months ago
• thuml / learn_torch.compile
  torch.compile artifacts for common deep learning models, can be used as a learning resource for torch.compile
  ☆16Updated last year
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆34Updated 6 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆75Updated last year
• dlsyscourse / public_notebooks
  ☆58Updated 2 months ago
• stanford-cs149 / cs149gpt
  ☆64Updated last year
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆108Updated this week
• pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆31Updated this week