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DTSTART;TZID=America/Chicago:20181112T090000
DTEND;TZID=America/Chicago:20181112T090100
UID:submissions.supercomputing.org_SC18_sess158_wksp123@linklings.com
SUMMARY:Introduction - 9th Workshop on Latest Advances in Scalable Algorit
 hms for Large-Scale Systems
DESCRIPTION:Workshop\nAlgorithms, Heterogeneous Systems, Resiliency, Works
 hop Reg Pass\n\nIntroduction - 9th Workshop on Latest Advances in Scalable
  Algorithms for Large-Scale Systems\n\nAlexandrov, Geist, Dongarra, Engelm
 ann\n\nNovel scalable scientific algorithms are needed in order to enable 
 key science applications to exploit the computational power of large-scale
  systems. This is especially true for the current tier of leading petascal
 e machines and the road to exascale computing as HPC systems continue to s
 cale up in compute node and processor core count. These extreme-scale syst
 ems require novel scientific algorithms to hide network and memory latency
 , have very high computation/communication overlap, have minimal communica
 tion, and have no synchronization points. With the advent of Big Data in t
 he past few years the need of such scalable mathematical methods and algor
 ithms able to handle data and compute intensive applications at scale beco
 mes even more important. \n\nScientific algorithms for multi-petaflop and 
 exaflop systems also need to be fault tolerant and fault resilient, since 
 the probability of faults increases with scale. Resilience at the system s
 oftware and at the algorithmic level is needed as a crosscutting effort. F
 inally, with the advent of heterogeneous compute nodes that employ standar
 d processors as well as GPGPUs, scientific algorithms need to match these 
 architectures to extract the most performance. This includes different sys
 tem-specific levels of parallelism as well as co-scheduling of computation
 . Key science applications require novel mathematics and mathematical mode
 ls and system software that address the scalability and resilience challen
 ges of current- and future-generation extreme-scale HPC systems.
URL:https://sc18.supercomputing.org/presentation/?id=wksp123&sess=sess158
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