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DTSTART:19700308T020000
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DTSTAMP:20260522T150119Z
LOCATION:D221
DTSTART;TZID=America/Chicago:20181113T143000
DTEND;TZID=America/Chicago:20181113T144500
UID:submissions.supercomputing.org_SC18_sess278_drs107@linklings.com
SUMMARY:Compiler and Runtime Based Parallelization and Optimization for GP
 Us
DESCRIPTION:Guray Ozen, Jesus Labarta, and Eduard Ayguade (Barcelona Super
 computing Center, Polytechnic University of Catalonia)\n\nThis thesis targ
 ets directive-based programming models to enhance their capability for GPU
  programming.  It introduces a new dialect model, which is a combination o
 f OpenMP and OmpSs. The new model allows the use of multiple GPUs in conju
 nction with the heavily multithreaded capabilities in multicore processors
  automatically. The thesis also focuses on code transformation techniques 
 and proposes the LazyNP method to support nested parallelism for irregular
  applications such as sparse matrix operations, graph and graphics algorit
 hms. Finally, the thesis conducts a thorough exploration of loop schedulin
 g methods on GPUs to find the advantage and disadvantages of them. It then
  proposes the concept of optimized dynamic loop scheduling.<br /><br />The
  contributions of this thesis improve the programmability of GPUs. This ha
 s had an outstanding impact on the whole OpenMP and OpenACC language commi
 ttee. Additionally, it includes contributions to widely used compilers suc
 h as Mercurium, Clang and PGI compilers.\n\nTag: Compilers, Data Analytics
 , Data Management, GPUs, MPI, OS and Runtime Systems, Doctoral Showcase\n\
 nRegistration Category: Workshop Reg Pass, Tutorial Reg Pass, Tech Program
  Reg Pass, Exhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\nSes
 sion Chair: Kamesh Madduri (Pennsylvania State University)\n\n
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