Bronis R. de Supinski氏 (LLNL) 講演会のお知らせ



下記のようにBronis R. de Supinski氏 (Lawrence Livermore National Laboratory) の講演会を開催致します。

エクサスケールシステムに向けた Programmability and Correctness に関する話題を中心に、LLNLでの研究活動を紹介して頂けることになっております。
日時: 2012 年4 月9 日(月曜日)15:00~ (2時間程度)
会場: 東京工業大学 学術国際情報センター 2F会議室 (GSIC大会議室) 

Bronis R. de Supinski 
Exascale Computing Technologies (ExaCT) Project Leader
Lawrence Livermore National Laboratory (LLNL))
Title: Programmability and Correctness on Large-Scale Systems
Writing correct programs for large-scale systems is becoming increasingly challenging. The size of the systems is growing dramatically – the Sequoia system that is currently being fielded at LLNL will have over 1.5 million cores and 6 million hardware threads. Further, the node types are becoming increasingly diverse. Not only are the compute nodes becoming significant parallel systems in their own right (a Sequoia node has 16 cores and 64 hardware threads available for application use) but they are often heterogeneous, with a large percentage of the floating point capability frequently provided through accelerators such as GPUs. Significant debate currently surrounds how best to program these complex systems. Importantly, practical solutions that can be used on existing systems still permit coding errors, which become more difficult to isolate in large, complex systems. In this talk, I will summarize the overall strategy of Lawrence Livermore National Laboratory to program large-scale systems and to ensure the correctness of those programs. I will also detail some recent advances that contribute to that strategy.
Bronis R. de Supinski is the principal investigator and leader of the Exascale Computing Technlogies (ExaCT) project and the co-leader of the Advanced Simulation and Computing (ASC) program's Application Development Environment and Performance Team (ADEPT) at Lawrence Livermore National Laboratory (LLNL). His research interests include high performance computer architectures, performance modeling and analysis, message passing implementations and tools, memory performance improvement, cache coherence and distributed shared memory, consistency semantics and programming models. Bronis earned his Ph.D. in Computer Science from the University of Virginia in 1998 and he joined LLNL's Center for Applied Scientific Compuiting (CASC) in July 1998. Currently, his projects include scalable debugging methods, investigations into mechanisms and tools to improve memory performance, applications of data mining techniques to tools for largescale systems, resiliency techniques, a variety of optimization techniques and tools for MPI and several issues with OpenMP, including its memory model and tool support. He pursues the last set of topics as the Chair of the OpenMP Language Committee. Throughout his career, Bronis has won several awards, including the prestigious Gordon Bell Prize in 2005 and 2006.  He is a member of the ACM and the IEEE Computer Society.


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