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sensAI

sensAI is a project to efficiently distribute ML.

sensAI paper is accepted by MLSys 2021.

Github: https://github.com/GuanhuaWang/sensAI

Previous short papers:

  • Computer Vision:
    • sensAI: Fast ConvNets Serving on Live Data via Class Parallelism (MLOps Systems Workshop @ MLSys 2020)
  • Robustness:
    • Robust Class Parallelism – Error Resilient Parallel Inference with Low Communication Cost (Asilomar 2020)

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Guanhua Wang
 

Guanhua Wang

guanhua@cs.berkeley.edu

Joseph Gonzalez
 

Joseph Gonzalez

jegonzal@EECS.Berkeley.EDU

Ion Stoica
 

Ion Stoica

istoica@EECS.Berkeley.EDU


Publications:

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
sensAI: Fast ConvNets Serving on Live Data via Class Parallelism
Robust Class Parallelism – Error Resilient Parallel Inference with Low Communication Cost
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The UCBerkeley RISELab is an NSF Expedition Project.