BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260522T150122Z
LOCATION:D166
DTSTART;TZID=America/Chicago:20181112T090500
DTEND;TZID=America/Chicago:20181112T100000
UID:submissions.supercomputing.org_SC18_sess173_pec336@linklings.com
SUMMARY:Exascale Challenges in Across-Node Parallelism for Languages and R
 untimes
DESCRIPTION:Laxmikant Kale (University of Illinois)\n\nMachines with peak 
 performance exceeding one exaflop/s are just around the corner, and promis
 es of sustained exaflop/s machines abound. Are there significant challenge
 s in runtime frameworks and languages that need to be met to harness the p
 ower of these machines?  We will examine this question and associated issu
 es. \n\nThere are some architectural trends that are becoming clear and so
 me hazily appearing. Individual nodes are getting “fatter” computationally
 . Accelerators such as GPGPUs and possibly FPGAs are likely parts of the e
 xascale landscape. High bandwidth memory, and non-coherent caches (such as
  the caches in GPGPUs used typically for constant memory), NVRAMS, and res
 ultant deeper and more complex memory hierarchies will also have to be dea
 lt with. \n\nThere is an argument going around in the community, that we h
 ave already figured out how to deal with tens of thousands of nodes (100,0
 00 with BG/Q), and now since the number of nodes is not likely to increase
 , we (the extreme-scale HPC community) have to focus research almost entir
 ely on within-node issues. I believe this is not quite a well-founded argu
 ment. I will explain why issues of power/energy/temperature, whole machine
  (multi-job) optimizations, across node issues like communication optimiza
 tion, load balancing and fault tolerance are still worthy of significant a
 ttention of the exascale runtime and language community. At the same time,
  there exist issues in handling within-node parallelism that arise mainly 
 or only in the context large multi-node runs. \n\nI will also address the 
 question of how our community should approach research if a large segment 
 of funding sources and application community have started thinking some of
  the above issues are irrelevant. What should the courage of our convictio
 ns lead us to?\n\nTag: Accelerators, Exascale, Parallel Programming Langua
 ges, Libraries, and Models\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: Dhabaleswar K. (DK) Panda (The Ohio State University), Kar
 l Schulz (Advanced Micro Devices (AMD) Inc), and Hari Subramoni (The Ohio 
 State University)\n\n
END:VEVENT
END:VCALENDAR