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DTSTART:19700308T020000
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DTSTAMP:20210402T160554Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201111T121000
DTEND;TZID=America/New_York:20201111T123000
UID:submissions.supercomputing.org_SC20_sess203_ws_scc104@linklings.com
SUMMARY:Leveraging Hybrid Cloud HPC in Multitier Reactive Programming
DESCRIPTION:Workshop\n\nLeveraging Hybrid Cloud HPC in Multitier Reactive 
 Programming\n\nSokolowski, Lehr, Bischof, Salvaneschi\n\nThe advent of clo
 ud computing has enabled large-scale availability of on-demand computing a
 nd storage resources. However, these benefits are not yet at the fingertip
 s of HPC developers: Typical HPC applications use on-premise computing res
 ources and rely on static deployment setups, reliable hardware, and rather
  homogeneous resources. This hinders (partial) execution in the cloud, eve
 n though applications could benefit from scaling beyond on-premise resourc
 es, and the variety of hardware available in the cloud to speed up executi
 on.\n\nTo address this issue, we orchestrate computationally intensive ker
 nels using a high-level programming language that ensures advanced optimiz
 ation and improves execution flexibility – enabling hybrid cloud/on-premis
 e HPC deployments. Our approach is based on multitier reactive programming
 , where distributed code is defined within the same compilation unit, and 
 computations are placed explicitly using placement types. We adjust placem
 ent based on performance characteristics measured before execution, and ap
 ply our approach to a shortest vector problem (SVP) solver from cryptanaly
 sis and evaluate it to be effective.\n\nTag: Big Data, Cloud and Distribut
 ed Computing, Extreme Scale Computing, Scientific Computing, Workflows\n\n
 Registration Category: Workshop Reg Pass
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