BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T223000Z
DTEND:20121115T000000Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Exascale systems will bring significant challenges: concurrency, resilience, I/O and memory, heterogeneity, and energy, which are unlikely being addressed using current techniques. This work addresses the first four, through the Many-Task Computing (MTC) paradigm, by delivering data-aware resource management and fully asynchronous distributed architectures.=0A=0AMTC applications are structured as graphs of discrete tasks, with explicit dependencies forming the edges. Tasks may be uniprocessor or multiprocessor, the set of tasks and volume of data maybe extremely large. The asynchronous nature of MTC makes it more resilient than traditional HPC approaches as the system MTTF decreases.  Future highly parallelized hardware is well suited for achieving high throughput with large-scale MTC applications.  =0A=0AThis work proposes a distributed MTC execution fabric for exascale, MATRIX, which adopts work stealing to achieve load balance. Work stealing was studied through SimMatrix, a scalable simulator, which supports exascale (millions of nodes, billions of cores, and trillions of tasks).
SUMMARY:Paving the Road to Exascale with Many-Task Computing
PRIORITY:3
END:VEVENT
END:VCALENDAR