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DTSTAMP:20230831T095745Z
LOCATION:Wisshorn
DTSTART;TZID=Europe/Stockholm:20230626T153000
DTEND;TZID=Europe/Stockholm:20230626T160000
UID:submissions.pasc-conference.org_PASC23_sess153_msa188@linklings.com
SUMMARY:Object Storage - Targeting Fusion Plasma Simulations at the Exasca
 le
DESCRIPTION:Minisymposium\n\nDebasmita Samaddar (University of Chicago)\n\
 nReducing the clock speed as well as storage at the exascale level is a hu
 ge challenge in computational science. Simulations of fusion plasma that i
 nvolves various time scales is a classic example of this magnificent probl
 em. With the flattening of clock speeds, the need for parallelization has 
 become increasingly important on modern supercomputers over the last coupl
 e of decades. Parallelization will be of prime importance on Exascale mach
 ines. This talk focuses on a relatively novel approach to parallelization 
 – namely, temporal parallelization. An event driven technique to significa
 ntly improve the performance of the algorithm will be discussed. A major c
 hallenge of temporal parallelization particularly using the event driven i
 mplementation is memory. Several hundreds of terabytes of data may be gene
 rated for a typical parareal run. A system such as CORTX, implementing tie
 red object storage – can be the exact answer to such a problem. This talk 
 will discuss how a combination of a CORTX like system with an event driven
  temporal parallelization is one of the best and easiest approaches to ach
 ieve long, complex, non-linear simulations in the exascale era.\n\nDomain:
  Engineering\n\nSession Chair: Jeremy Johnathan Williams (KTH Royal Instit
 ute of Technology)
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