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DTSTAMP:20260704T231334Z
UID:10e2d72f-3deb-402a-a4f3-0637046f6f01
DTSTART:20170529T073000Z
DTEND:20170530T103000Z
DESCRIPTION:Keywords\nRuntime systems\, thread programming\, accelerators\,
  hardware abstraction\, performance portability.\n \n\nCourse description
 :\nThis course will present the state of the art of runtime system support
  for programming heterogeneous platforms. Heterogeneous computing platform
 s—such as multicores equipped with accelerators—are notoriously diffic
 ult to program due to the strong differences in performance characteristic
 s among the various available computing units and also to the discrete mem
 ory spaces of accelerating boards.\nThe course will present the StarPU run
 time system developed at Inria by the STORM Team in Bordeaux.\n\nLearning 
 outcomes\nParticipants will understand the benefit of the task-based progr
 amming model together with performance modeling\, automatic data managemen
 t and dynamic scheduling in speeding up application development on heterog
 eneous computing platforms and providing long term performance portability
 .Prerequisites\nBasic knowledge of C programming language and accelerator 
 programming languages (nVidia Cuda\, OpenCL). \n\nhttps://events.prace-ri.
 eu/event/618/
SUMMARY:Runtime systems for heterogeneous platform programming@MDS
URL;VALUE=URI:https://events.prace-ri.eu/event/618/
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