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DTSTAMP:20260808T235357Z
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DTSTART:20170805T090000Z
DTEND:20170805T000000Z
DESCRIPTION:GPUs have become an increasingly popular general computing plat
 form. However\, their efficient utilization requires some understanding of
  the architecture and programming model. A sensible question arises about 
 their applicability in terms of the necessary time investment versus \n th
 e added scientific value. \n \n An introduction on the basics of GPGPUs is
  presented first\, including the architecture\, the computing model and a 
 general methodology for parallelizing an algorithm. \n Opportunities and p
 itfalls are then elucidated with basic examples of problems/implementation
 s suited or unsuited for GPUs. Assessing a problem \n for its applicabilit
 y to GPUs is shown as a key decision-making step. \n \n The seminar is not
  only envisioned as an introduction to GPU programming\; key concepts are 
 elucidated specifically on a concrete case of Finite Element (FE) \n algor
 ithm parallelization. Concepts such as problem-breakdown\, testing\, verif
 ication\, profiling and optimization are presented through the FE algorith
 m's implementation. \n \n \n Overall\, a realistic assessment of adopting 
 GPU computation (and everything it can entail) is provided through the len
 s of added scientific value.\n\n                                          
                   \n \n Detailed time/place info\n \n                     
            \n 08.05.2017\, 10:00-12:00

LOCATION:ICTS Opleidingscentrum room D
SUMMARY:GPU programming opportunities and challenges: a case study in finit
 e element analysis
URL;VALUE=URI:https://www.vscentrum.be/en/education-and-trainings/detail/hp
 c-case-studies-08052017
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