BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T183000Z
DTEND:20121114T190000Z
LOCATION:155-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Future generation HPC systems comprising many-core sockets and GPU accelerators will impose increasing challenges in programming, efficiency, heterogeneity and scalability for extreme scale computing. Emerging execution models using event-driven, task-based parallelism; dynamic dependency and constraint analysis; locality-aware computation; and resource-aware scheduling show promise in addressing these challenges.  Applications utilizing these innovative runtime systems have shown significant gains in performance and utilization of computational resources over conventional methodologies in a wide variety of application domains.  For example, ETIs SWARM (SWift Adaptive Runtime Machine) has shown 3X improvement over OpenMP on N-Body Problems, 2-10x improvements over MPI on Graph500, and 50% improvement over Intels MKL ScaLapack. SWARM has also been selected as a technology for a large US Department of Energy program to build an exascale software ecosystem. This presentation will articulate the challenges extreme scale systems pose to applications and runtime developers and highlight some of the solutions to these problems.
SUMMARY:Runtimes and Applications for Extreme-Scale Computing
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T183000Z
DTEND:20121114T190000Z
LOCATION:155-C
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Future generation HPC systems comprising many-core sockets and GPU accelerators will impose increasing challenges in programming, efficiency, heterogeneity and scalability for extreme scale computing. Emerging execution models using event-driven, task-based parallelism; dynamic dependency and constraint analysis; locality-aware computation; and resource-aware scheduling show promise in addressing these challenges.  Applications utilizing these innovative runtime systems have shown significant gains in performance and utilization of computational resources over conventional methodologies in a wide variety of application domains.  For example, ETIs SWARM (SWift Adaptive Runtime Machine) has shown 3X improvement over OpenMP on N-Body Problems, 2-10x improvements over MPI on Graph500, and 50% improvement over Intels MKL ScaLapack. SWARM has also been selected as a technology for a large US Department of Energy program to build an exascale software ecosystem. This presentation will articulate the challenges extreme scale systems pose to applications and runtime developers and highlight some of the solutions to these problems.
SUMMARY:Runtimes and Applications for Extreme-Scale Computing
PRIORITY:3
END:VEVENT
END:VCALENDAR