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DTSTAMP:20260422T000712Z
LOCATION:301-302-303
DTSTART;TZID=America/Denver:20231115T160000
DTEND;TZID=America/Denver:20231115T163000
UID:submissions.supercomputing.org_SC23_sess181_pap224@linklings.com
SUMMARY:Accelerating Communications in Federated Applications with Transpa
 rent Object Proxies
DESCRIPTION:J. Gregory Pauloski and Valerie Hayot-Sasson (University of Ch
 icago); Logan Ward (Argonne National Laboratory (ANL)); Nathaniel Hudson a
 nd Charlie Sabino (University of Chicago); and Matt Baughman, Kyle Chard, 
 and Ian Foster (University of Chicago, Argonne National Laboratory (ANL))\
 n\nAdvances in networks, accelerators, and cloud services encourage progra
 mmers to reconsider where to compute---such as when fast networks make it 
 cost-effective to compute on remote accelerators despite added latency. Wo
 rkflow and cloud-hosted serverless computing frameworks can manage multi-s
 tep computations spanning federated collections of cloud, high-performance
  computing (HPC), and edge systems, but passing data among computational s
 teps via cloud storage can incur high costs. Here, we overcome this obstac
 le with a new programming paradigm that decouples control flow from data f
 low by extending the pass-by-reference model to distributed applications. 
 We describe ProxyStore, a system that implements this paradigm by providin
 g object proxies that act as wide-area object references with just-in-time
  resolution. This proxy model enables data producers to communicate data u
 nilaterally, transparently, and efficiently to both local and remote consu
 mers. We demonstrate the benefits of this model with synthetic benchmarks 
 and real-world scientific applications, running across various computing p
 latforms.\n\nTag: Cloud Computing, Distributed Computing, Data Movement an
 d Memory, Performance Measurement, Modeling, and Tools\n\nRegistration Cat
 egory: Tech Program Reg Pass\n\nReproducibility Badges: Artifact Available
 , Artifact Functional, Results Reproduced\n\nSession Chair: Jay Lofstead (
 Sandia National Laboratories, University of New Mexico)\n\n
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