Alternatives and similar repositories for Hetu:

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

• PKU-DAIR / Hetu
  A high-performance distributed deep learning system targeting large-scale and automated distributed training.
  ☆277Updated last week
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆87Updated last week
• thu-pacman / SmartMoE-AE
  ATC23 AE
  ☆44Updated last year
• ConnollyLeon / awesome-Auto-Parallelism
  A baseline repository of Auto-Parallelism in Training Neural Networks
  ☆141Updated 2 years ago
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆37Updated 2 years ago
• zhuohan123 / terapipe
  ☆70Updated 3 years ago
• kwai / Megatron-Kwai
  [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…
  ☆47Updated 5 months ago
• thu-pacman / FasterMoE
  ☆72Updated 2 years ago
• MoE-Inf / awesome-moe-inference
  Curated collection of papers in MoE model inference
  ☆35Updated this week
• alibaba / easydist
  Automated Parallelization System and Infrastructure for Multiple Ecosystems
  ☆76Updated last month
• Gaffey / ExCP
  Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".
  ☆44Updated 6 months ago
• LoongServe / LoongServe
  ☆80Updated 2 months ago
• galeselee / Awesome_LLM_System-PaperList
  Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…
  ☆205Updated 3 weeks ago
• Relaxed-System-Lab / HexGen
  [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.
  ☆16Updated 8 months ago
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆73Updated 4 years ago
• thu-pacman / PET
  PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
  ☆117Updated 2 years ago
• zhengzangw / Sequence-Scheduling
  PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".
  ☆81Updated last year
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆84Updated 2 weeks ago
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆142Updated 3 months ago
• AlibabaPAI / torchacc
  PyTorch distributed training acceleration framework
  ☆38Updated this week
• alpa-projects / mms
  AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)
  ☆80Updated last year
• microsoft / SparTA
  ☆134Updated 5 months ago
• AlibabaPAI / FLASHNN
  ☆78Updated 4 months ago
• Youhe-Jiang / IJCAI2023-OptimalShardedDataParallel
  [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…
  ☆51Updated last year
• HPDL-Group / Merak
  ☆79Updated last month
• alibaba / llm-scheduling-artifact
  Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“
  ☆59Updated 7 months ago
• alibaba / EasyParallelLibrary
  Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
  ☆266Updated last year
• Shigangli / Chimera
  Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.
  ☆52Updated last year
• SJTU-IPADS / disb
  DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.
  ☆53Updated 4 months ago
• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆204Updated 4 months ago