Alternatives and similar repositories for DS-Analyzer:

Users that are interested in DS-Analyzer are comparing it to the libraries listed below

• msr-fiddle / CoorDL
  ☆24Updated last year
• rkhan055 / SHADE
  SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training
  ☆31Updated 2 years ago
• pkusys / ElasticFlow
  Artifacts for our ASPLOS'23 paper ElasticFlow
  ☆51Updated 11 months ago
• msr-fiddle / CheckFreq
  ☆53Updated 4 years ago
• uclasystem / bamboo
  Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.
  ☆49Updated 2 years ago
• jasperzhong / swift
  ☆14Updated 2 years ago
• casys-kaist / glet
  ☆47Updated 3 months ago
• Raphael-Hao / Abacus
  ☆37Updated 3 years ago
• casys-kaist / HUVM
  ☆23Updated 2 years ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆41Updated last year
• Sys-KU / DeepPlan
  [ACM EuroSys '23] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access
  ☆56Updated last year
• casys-kaist / EnvPipe
  ☆24Updated last year
• netx-repo / PipeSwitch
  PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  ☆126Updated 2 years ago
• stanford-futuredata / gavel
  Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020
  ☆127Updated 8 months ago
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆141Updated 5 years ago
• S-Lab-System-Group / Awesome-ML-for-System
  SOTA Learning-augmented Systems
  ☆36Updated 2 years ago
• msr-fiddle / synergy
  ☆49Updated 2 years ago
• microsoft / SuperScaler
  An experimental parallel training platform
  ☆54Updated last year
• SJTU-IPADS / reef-artifacts
  A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.
  ☆42Updated 2 years ago
• HuaizhengZhang / MIGProfiler
  Multi-Instance-GPU profiling tool
  ☆57Updated 2 years ago
• msr-fiddle / harmony
  ☆16Updated 2 years ago
• stanford-mast / INFaaS
  Model-less Inference Serving
  ☆88Updated last year
• geoffxy / habitat
  🔮 Execution time predictions for deep neural network training iterations across different GPUs.
  ☆60Updated 2 years ago
• S-Lab-System-Group / HeliosData
  Helios Traces from SenseTime
  ☆53Updated 2 years ago
• S-Lab-System-Group / Lucid
  Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs
  ☆53Updated last year
• microsoft / taccl
  TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
  ☆72Updated last year
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆159Updated 6 months ago
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆73Updated 4 years ago
• siasosp23 / artifacts
  ☆16Updated last year
• UMass-LIDS / Proteus
  Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling
  ☆10Updated last year