Alternatives and similar repositories for PP-Schedule-Visualization

Users that are interested in PP-Schedule-Visualization are comparing it to the libraries listed below

• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 4 months ago
• stepfun-ai / StepMesh
  ☆309Updated 3 weeks ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆433Updated 5 months ago
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆181Updated 2 weeks ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆156Updated 2 weeks ago
• kwai / Megatron-Kwai
  [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…
  ☆66Updated last year
• fzyzcjy / torch_memory_saver
  Allow torch tensor memory to be released and resumed later
  ☆157Updated this week
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆282Updated last year
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆117Updated last month
• AlibabaPAI / FLASHNN
  ☆100Updated last year
• alibaba / easydist
  Automated Parallelization System and Infrastructure for Multiple Ecosystems
  ☆80Updated 11 months ago
• madsys-dev / deepseekv2-profile
  ☆148Updated 7 months ago
• KuangjuX / NVSHMEM-Tutorial
  NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer
  ☆139Updated last month
• thunlp / Seq1F1B
  Sequence-level 1F1B schedule for LLMs.
  ☆32Updated 2 months ago
• InternLM / turbomind
  ☆97Updated 7 months ago
• yifuwang / symm-mem-recipes
  ☆141Updated 10 months ago
• fzyzcjy / torch_utils
  Utility scripts for PyTorch (e.g. Memory profiler that understands more low-level allocations such as NCCL)
  ☆62Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆266Updated 3 months ago
• Karbo123 / pytorch_grouped_gemm
  High Performance Grouped GEMM in PyTorch
  ☆31Updated 3 years ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆439Updated this week
• ColfaxResearch / cutlass-kernels
  ☆241Updated last year
• ByteDance-Seed / ByteCheckpoint
  ByteCheckpoint: An Unified Checkpointing Library for LFMs
  ☆249Updated 3 months ago
• antgroup / DeepXTrace
  DeepXTrace is a lightweight tool for precisely diagnosing slow ranks in DeepEP-based environments.
  ☆63Updated this week
• CalebDu / Awesome-Cute
  ☆107Updated 5 months ago
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆226Updated 2 months ago
• yanring / Megatron-MoE-ModelZoo
  Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.
  ☆114Updated last week
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆124Updated 5 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆264Updated this week
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆72Updated 5 months ago
• InternLM / Awesome-LLM-Training-System
  ☆43Updated last year