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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151117T163000Z
DTEND:20151117T170000Z
LOCATION:19AB
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Task-parallel programming models with input annotation-based concurrency extraction at runtime present a promising paradigm for programming multicore processors. Through management of dependencies, task assignments, and orchestration, these models markedly simplify the programming effort for parallelization while exposing higher levels of concurrency.=0A=0AIn this paper we show that for multicores with a shared last-level cache (LLC), the concurrency extraction framework can be used to improve the shared LLC performance. Based on the input annotations for future tasks, the runtime instructs the hardware to prioritize data blocks with future reuse while evicting blocks with no future reuse. These instructions allow the hardware to preserve all the blocks for at least some of the future tasks and evict dead blocks. This leads to a considerable improvement in cache efficiency over what is achieved by hardware-only replacement policies, which can replace blocks for all future tasks resulting in poor hit-rates for all future tasks.
SUMMARY:Runtime-Driven Shared Last-Level Cache Management for Task-Parallel Programs
PRIORITY:3
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