Alternatives and similar repositories for FastFlow:

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

• Sys-KU / DeepPlan
  Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)
  ☆55Updated 10 months ago
• casys-kaist / EnvPipe
  ☆24Updated last year
• LLMServe / dLoRA-artifact
  ☆16Updated 8 months ago
• casys-kaist / glet
  ☆44Updated last month
• UMass-LIDS / Proteus
  Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling
  ☆10Updated 11 months ago
• pkusys / ElasticFlow
  Artifacts for our ASPLOS'23 paper ElasticFlow
  ☆53Updated 9 months ago
• awslabs / optimizing-multitask-training-through-dynamic-pipelines
  Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines
  ☆17Updated last year
• msr-fiddle / CheckFreq
  ☆53Updated 4 years ago
• alibaba / llm-scheduling-artifact
  Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“
  ☆60Updated 8 months ago
• casys-kaist / HUVM
  ☆23Updated 2 years ago
• uclasystem / bamboo
  Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.
  ☆48Updated 2 years ago
• SJTU-IPADS / ugache
  ☆23Updated last year
• microsoft / SuperScaler
  An experimental parallel training platform
  ☆54Updated 10 months ago
• Raphael-Hao / Abacus
  ☆37Updated 3 years ago
• HPMLL / BurstGPT
  A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
  ☆145Updated 4 months ago
• Raphael-Hao / brainstorm
  Compiler for Dynamic Neural Networks
  ☆45Updated last year
• msr-fiddle / DS-Analyzer
  ☆35Updated 4 years ago
• HuaizhengZhang / MIGProfiler
  Multi-Instance-GPU profiling tool
  ☆56Updated last year
• casys-kaist / LLMServingSim
  LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
  ☆83Updated last month
• SJTU-IPADS / reef-artifacts
  A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.
  ☆40Updated 2 years ago
• SJTU-IPADS / disb
  DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.
  ☆53Updated 6 months ago
• rkhan055 / SHADE
  SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training
  ☆31Updated last year
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆88Updated 10 months ago
• msr-fiddle / synergy
  ☆48Updated 2 years ago
• eniac / paella
  Paella: Low-latency Model Serving with Virtualized GPU Scheduling
  ☆58Updated 9 months ago
• ucare-uchicago / ev-store-dlrm
  ☆30Updated 11 months ago
• zhuangwang93 / Espresso
  Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…
  ☆15Updated last year
• SamsungLabs / Metis
  [ATC '24] Metis: Fast automatic distributed training on heterogeneous GPUs (https://www.usenix.org/conference/atc24/presentation/um)
  ☆25Updated 3 months ago
• VIA-Research / vTrain
  ☆48Updated last month
• James-QiuHaoran / LLM-serving-with-proxy-models
  Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …
  ☆26Updated 8 months ago