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LOCATION:E Concourse
DTSTART;TZID=America/Denver:20231114T100000
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UID:submissions.supercomputing.org_SC23_sess290_drs127@linklings.com
SUMMARY:Corralling the Computing Continuum:  Mobilizing Modern Distributed
  Resources for Machine Learning and Accessible Computing
DESCRIPTION:Matt Baughman (University of Chicago)\n\nTo achieve the resour
 ce agnostic flexibility of compute described by the computing continuum, w
 e combined our work in workload profiling and cost estimation with task pr
 ovisioning to present DELTA–a framework for serverless workload placement 
 across a computing ecosystem. To address the dynamic availability of moder
 n computing resources as well as the multiple costs involved in computing,
  we presented extensions of our framework as DELTA+ which demonstrated the
  ability for resource provisioning and multidimensional compute costs. \n\
 nTo bring this idea of resource abstraction via serverless into the rapidl
 y growing field of federated learning, we developed and released FLoX: Fed
 erated Learning on funcX. This framework was built from the ground up arou
 nd a serverless computing paradigm with experimentation and usability in m
 ind. Extending the lessons learned from DELTA around self-adaptive systems
 , we began exploring the potential of automating tradeoffs found in FLoX a
 nd federated learning in general. \n\nLooking ahead, we are developing FLo
 X into a much more robust framework to enable the use of a wide range of c
 omputing resources while abstracting away the difficulties of configuring 
 and optimizing a federated learning experiment. Additionally, we are activ
 ely working on a re-release of DELTA with all extensions combined into one
  framework with updated cost and execution time predictors and complete re
 source provisioning ability. Finally, we are designing an integration betw
 een FLoX and DELTA that will enable serverless-based FL to automatically p
 lace each component of an FL flow and move data as necessary to best use t
 he available resources.\n\nTag: Accelerators, Artificial Intelligence/Mach
 ine Learning, Applications, Cloud Computing, Distributed Computing, Data A
 nalysis, Visualization, and Storage, Data Compression, Heterogeneous Compu
 ting, I/O and File Systems, Quantum Computing, Reproducibility, Security, 
 Software Engineering\n\nRegistration Category: Tech Program Reg Pass, Exhi
 bits Reg Pass\n\n
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