Alternatives and similar repositories for gpu-topo-aware

Users that are interested in gpu-topo-aware are comparing it to the libraries listed below

• kzhang28 / Optimus
  An Efficient Dynamic Resource Scheduler for Deep Learning Clusters
  ☆42Updated 7 years ago
• SymbioticLab / Tiresias
  Tiresias is a GPU cluster manager for distributed deep learning training.
  ☆154Updated 5 years ago
• alibaba / GPU-scheduler-for-deep-learning
  GPU-scheduler-for-deep-learning
  ☆208Updated 4 years ago
• ds2-lab / FaaSNet
  FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute (USENIX ATC'21)
  ☆55Updated 3 years ago
• msr-fiddle / philly-traces
  ☆191Updated 5 years ago
• pkusys / TGS
  Artifacts for our NSDI'23 paper TGS
  ☆81Updated last year
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆142Updated 5 years ago
• heyfey / vodascheduler
  GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
  ☆35Updated last year
• stanford-futuredata / gavel
  Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020
  ☆128Updated 11 months ago
• NTHU-LSALAB / Gemini
  An efficient GPU resource sharing system with fine-grained control for Linux platforms.
  ☆82Updated last year
• hkust-adsl / kubernetes-scheduler-simulator
  Kubernetes Scheduler Simulator
  ☆112Updated 11 months ago
• pengyanghua / optimus
  A Deep Learning Cluster Scheduler
  ☆39Updated 4 years ago
• S-Lab-System-Group / HeliosData
  Helios Traces from SenseTime
  ☆56Updated 2 years ago
• cjg / GVirtuS
  This repository is an archive. Refer to https://github.com/gvirtus/GVirtuS
  ☆44Updated 3 years ago
• netx-repo / PipeSwitch
  PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  ☆126Updated 3 years ago
• msr-fiddle / blox
  ☆44Updated last year
• kubedl-io / morphling
  Automatic tuning for ML model deployment on Kubernetes
  ☆80Updated 8 months ago
• microsoft / hivedscheduler
  Kubernetes Scheduler for Deep Learning
  ☆263Updated 3 years ago
• stanford-mast / INFaaS
  Model-less Inference Serving
  ☆88Updated last year
• netx-repo / training-bottleneck
  Analyze network performance in distributed training
  ☆18Updated 4 years ago
• msr-fiddle / synergy
  ☆51Updated 2 years ago
• S-Lab-System-Group / ChronusArtifact
  ☆22Updated 3 years ago
• marcoszh / MArk-Project
  Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
  ☆37Updated 5 years ago
• S-Lab-System-Group / Lucid
  Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
  ☆55Updated 2 years ago
• Ddnirvana / awesome-serverless-research
  A curated list of awesome serverless research works, including papers and open-sourced projects.
  ☆85Updated 2 years ago
• uw-mad-dash / shockwave
  Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]
  ☆44Updated 2 years ago
• yylin1 / papers-notebook-with-scheduling
  碩士論文文獻筆記（Deep Learning、Scheduling、Distributed、Kubernetes）
  ☆51Updated 6 years ago
• Rivendile / Muri
  Artifacts for our SIGCOMM'22 paper Muri
  ☆42Updated last year
• All-less / faas-scheduling-benchmark
  A benchmark suite for evaluating FaaS scheduler.
  ☆23Updated 2 years ago
• huaweicloud / trace_generation_rnn
  This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…
  ☆43Updated 3 years ago