articleConcurrency and Computation Practice and ExperienceNov 4, 2010BRONZE OA

StarPU: a unified platform for task scheduling on heterogeneous multicore architectures

CACédric AugonnetSTSamuel ThibaultRNRaymond NamystPWPierre‐André Wacrenier

Institut national de recherche en sciences et technologies du numérique · Université de Bordeaux · +3 more institutions

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Abstract

Abstract In the field of HPC, the current hardware trend is to design multiprocessor architectures featuring heterogeneous technologies such as specialized coprocessors (e.g. Cell/BE) or data‐parallel accelerators (e.g. GPUs). Approaching the theoretical performance of these architectures is a complex issue. Indeed, substantial efforts have already been devoted to efficiently offload parts of the computations. However, designing an execution model that unifies all computing units and associated embedded memory remains a main challenge. We therefore designed StarPU, an original runtime system providing a high‐level, unified execution model tightly coupled with an expressive data management library. The main…

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Topics & keywords

Topics
Keywords
  • Computer science
  • Scheduling (production processes)
  • Coprocessor
  • Parallel computing
  • Multi-core processor
  • Multiprocessing
  • Distributed computing
  • Computation
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