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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121114T223000Z
DTEND:20121115T000000Z
LOCATION:155-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Current software and hardware limitations prevent Many-Task Computing (MTC) from leveraging hardware accelerators (NVIDIA GPUs, Intel MIC) boasting Many-Core Computing architectures. Some broad application classes that fit the MTC paradigm are workflows, MapReduce, high-throughput computing, and a subset of high-performance computing. MTC emphasizes using many computing resources over short periods of time to accomplish many computational tasks (i.e. including both dependent and independent tasks), where the primary metrics are measured in seconds.­­­ MTC has already proven successful in Grid Computing and Supercomputing on MIMD architectures, but the SIMD architectures of todays accelerators pose many challenges in the efficient support of MTC workloads on accelerators. This work aims to address the programmability gap between MTC and accelerators, through an innovative middleware that will enable MIMD workloads to run on SIMD architectures. This work will enable a broader class of applications to leverage the growing number of accelerated high-end computing systems.
SUMMARY:Towards the Support for Many-Task Computing on Many-Core Computing Platforms
PRIORITY:3
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