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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
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DTSTART:20141118T231500Z
DTEND:20141119T010000Z
LOCATION:New Orleans Theater Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Heterogeneity in computing has become ubiquitous. Computing systems ranging from smartphones to supercomputers now consist of multiple types of computing brains, typically at least one multi-core CPU and a many-core GPU. Such systems offer the promise of increased performance and energy efficiency over CPUs if the resources within such systems are used judiciously.=0A=0AAlas, extracting the full performance potential from accelerator devices requires architectural expertise, expertise that is in short supply. Thus, there exists a need for software tools and ecosystems to support the development, maintenance, and upgrading of accelerated codes by non-expert domain scientists. To address this need, we present our initial prototype of a modular library of drop-in accelerated functions, which abstracts current and future accelerator backends behind a single, unified API, known as MetaMorph. By incrementally replacing computational primitives with calls to the MetaMorph API, domain scientists can transparently migrate code to current and future accelerator devices.
SUMMARY:MetaMorph: A Modular Library for Democratizing the Acceleration of Parallel Computing Across Heterogeneous Devices
PRIORITY:3
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