Alternatives and similar repositories for HierarchicalKV

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

• DeepRec-AI / HybridBackend
  A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
  ☆158Updated last year
• alibaba / TePDist
  TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.
  ☆94Updated 2 years ago
• google / nccl-fastsocket
  NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.
  ☆117Updated last year
• AlibabaPAI / torchacc
  PyTorch distributed training acceleration framework
  ☆51Updated 4 months ago
• eniac / paella
  Paella: Low-latency Model Serving with Virtualized GPU Scheduling
  ☆59Updated last year
• alibaba / EasyParallelLibrary
  Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
  ☆267Updated 2 years ago
• microsoft / mscclpp
  MSCCL++: A GPU-driven communication stack for scalable AI applications
  ☆385Updated this week
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆77Updated 4 years ago
• Funatiq / gossip
  gossip: Efficient Communication Primitives for Multi-GPU Systems
  ☆59Updated 3 years ago
• Mellanox / nccl-rdma-sharp-plugins
  RDMA and SHARP plugins for nccl library
  ☆197Updated 3 weeks ago
• AlibabaResearch / recom
  An Optimizing Compiler for Recommendation Model Inference
  ☆24Updated last month
• triton-inference-server / hugectr_backend
  ☆55Updated last year
• uccl-project / uccl
  Ultra and Unified CCL
  ☆390Updated this week
• anilshanbhag / gpu-topk
  Efficient Top-K implementation on the GPU
  ☆180Updated 6 years ago
• parasailteam / coconet
  ☆79Updated 2 years ago
• quiver-team / quiver-feature
  High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph
  ☆54Updated 3 years ago
• microsoft / NPKit
  NCCL Profiling Kit
  ☆139Updated last year
• bytedance / ps-lite
  A lightweight parameter server interface
  ☆76Updated 2 years ago
• microsoft / msccl
  Microsoft Collective Communication Library
  ☆351Updated last year
• infinigence / Semi-PD
  A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.
  ☆93Updated last month
• ConnollyLeon / awesome-Auto-Parallelism
  A baseline repository of Auto-Parallelism in Training Neural Networks
  ☆144Updated 3 years ago
• antgroup / glake
  GLake: optimizing GPU memory management and IO transmission.
  ☆470Updated 3 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆149Updated 6 months ago
• bytedance / ByteMLPerf
  AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…
  ☆249Updated 2 weeks ago
• tengkz / tensorflow_notes
  tensorflow源码阅读笔记
  ☆191Updated 6 years ago
• thu-pacman / PET
  PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections
  ☆121Updated 3 years ago
• yalue / cuda_scheduling_examiner_mirror
  A tool for examining GPU scheduling behavior.
  ☆84Updated 10 months ago
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆142Updated 5 years ago
• microsoft / msccl-tools
  Synthesizer for optimal collective communication algorithms
  ☆108Updated last year
• yifuwang / symm-mem-recipes
  ☆94Updated 6 months ago