Slides available here!


Speaker:

Prof. Hironori Kasahara, Waseda University, Japan

Title:

Parallelization and Power Reduction of Embedded Real-time Applications by OSCAR Compiler on ARM and Intel Multicores

Abstract:

Performance improvement and reduction of power consumption on multicore processors are current most important issues. Also, minimization of cost and period for the parallel software development is crucial for successful business. The OSCAR compiler allows us to automatically parallelize a sequential embedded real-time application program with deadline constraint for various multicores from different vendors. This talk introduces performance and power consumption in parallel processing of embedded applications such as multimedia, human face detection and automobile control model based designed using MATLAB/Simulink on several multicores including Intel and ARM.

Bio:

Hironori Kasahara received a PhD in electrical engineering from Waseda University, Tokyo, in 1985 where he has been a professor of computer science since 1997, and a director of the Advanced Multicore Research Institute. He was a visiting scholar at University of California, Berkeley and University of Illinois at Urbana-Champaign's Center for Supercomputing R&D. He received Young Author Prize at International Federation of Automatic Control World Congress, an IPSJ Sakai Memorial Special Research Award and a Science and Technology Prize in the commendation by Minister of Education, Culture, Sports, Science and Technology. He led four Japanese national projects on parallelizing compilers, multicores and green computing in METI/NEDO. He has served as a chair or a member of 220 government and society committees including IPSJ SIG on Comput Architecture, MEXT Earth Simulator and K supercomputer and METI computer research roadmap.
His works were presented as 195 papers, 120 invited talks, 26 patents and 450 newspapers and web articles. Currently, he is a member of Board or Governors and a chair of Multicore STC in IEEE Computer Society.



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