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*Introduction [#hb54a4a3]

Special Session: Auto-Tuning for Multicore and GPU (ATMG)

In Conjunction with the IEEE MCSoC-14. http://www.mcsoc-forum.org/

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IEEE 8th International Symposium on Embedded Multicore/Many-core SoCs (MCSoC'14), Sept. 23-25, 2014, The University of Aizu, Aizu-Wakamatsu, Japan

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— Computer architectures and computer systems are becoming increasingly complex. Multicore processors and heterogeneous computing systems equipped with accelerators pose demanding chanllenges to programmers when optimizing the performance of their codes. Auto-tuning is a promising technology for tackling these challenges. Several methodologies and auto-tuning approaches have been proposed, especially for numerical computations. More recently, the applicability of auto-tuning has been extended to other areas of computer science and engineering, from embedded systems to extreme scale computing systems. 
— Computer architectures and computer systems are becoming
increasingly complex. Multicore processors and heterogeneous computing
systems equipped with accelerators pose demanding challenges to
programmers when optimizing the performance of their
codes. Auto-tuning is a promising technology for tackling these
challenges. Several methodologies and auto-tuning approaches have been
proposed, especially for numerical computations. More recently, the
applicability of auto-tuning has been extended to other areas of
computer science and engineering, from embedded systems to extreme
scale computing systems.

— This special session on "Auto-Tuning for Multicore and GPU (ATMG)" creates an opportunity for the discussion of the state-the-art in auto-tuning research, not only for experts in the field but also a broader audience of users of the technology. 
— This special session on "Auto-Tuning for Multicore and GPU (ATMG)"
creates an opportunity for the discussion of the state-the-art in
auto-tuning research, not only for experts in the field but also a
broader audience of users of the technology. 

— Online submission site: Easy Chair conference system

— Online submission site: https://edas.info/N15643