A special interest group for the area of Systems for Machine Learning hosting a reading group and (eventually) a seminar series at Imperial College London.
Join us this Thursday at 2PM for @RWaleffe's exciting seminar on Training Graph Neural Networks over Billion-Scale Graphs on a Single Machine ๐ง
Details: https://t.co/7DCG4MzJ1q
๐ฅ New Year, new events!
Feb 9th 2PM, @VincentMo6 will present his work PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments (MobiSys'21)
https://t.co/VsoF3uy0sP
๐ฅ New Year, new events!
Feb 9th 2PM, @VincentMo6 will present his work PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments (MobiSys'21)
https://t.co/VsoF3uy0sP
Join us this Thursday, where @MichaelKuchnik will present his MLSys'22 work "Plumber: Diagnosing and Removing Performance Bottlenecks in ML Data Pipelines".
https://t.co/gssPYZ09IX
After a small break, we are back with two new Seminars in September.
๐ Sep. 1st: @aptemav will present his work on eXLA, an extension to the XLA compiler which modifies the dataflow graph for memory efficiency and safety!
https://t.co/ulqmwTdF8m
๐ Sep. 8th: Colin Unger will present his OSDI'22 work, Unity, the first system that jointly optimizes algebraic transformations and parallelization in distributed DNN training!
https://t.co/01wgQkck6t
๐ Sep. 8th: Colin Unger will present his OSDI'22 work, Unity, the first system that jointly optimizes algebraic transformations and parallelization in distributed DNN training!
https://t.co/01wgQkck6t
Up next, @abhijangda will present his ASPLOS'22 work on CoCoNet. Don't miss it this Thursday at 10:30 BST!
Add event to your calendar at:
https://t.co/mpZ3EcXXV3
Up next, @abhijangda will present his ASPLOS'22 work on CoCoNet. Don't miss it this Thursday at 10:30 BST!
Add event to your calendar at:
https://t.co/mpZ3EcXXV3
This Thursday, 10:30BST, @alexrenz will present his work on Adaptive Parameter Servers!
Join online through the "Join Session" link in the page!
https://t.co/e8G6L36VKB
Tomorrow at 10:30BST, Davis Blalock will present his ICML'21 work "Multiplying Matrices Without Multiplying".
Join online through the "Join Session" link in the page!
https://t.co/AHUmZOEnBQ
๐ 28/07: Abhinav Jangda will present his work on CoCoNet "Breaking the computation and communication abstraction barrier in distributed machine learning workloads", ASPLOS'22
(3/3)
https://t.co/mpZ3EcXXV3
๐จ Announcing our exciting July Seminar line-up!
Follow the links for details.
๐ 14/07: Davis Blalock will present his work "Multiplying Matrices Without Multiplying", ICML'21
(1/3)
https://t.co/AHUmZOEnBQ
Next Thursday, on our second reading group session, we will discuss Gato, a new generalist model, as well as, its implications for system designers.
Find out how to join in the link below:
https://t.co/T86695ifid