Silicon based technology has advanced in the past two decades as Moore's law predicted. A large number of computing cores, complex memory subsystems, and I/O devices are now packed onto modern VLSI chips such that the computational power per unit area has grown tremendously. To deliver petascale performance today, huge amounts of resources are being deployed via interconnected computing units, while programming languages and paradigms are being pushed beyond their initial designs to explore maximal parallel efficiency. As a consequence, work on application enablement has become an extremely challenging task. Furthermore, in the foreseeable future, exa- and higher scale computing systems are expected to incorporate even more massive numbers of multi-core processors - referred to here as - extreme scale computing - systems, which will pose critical challenges for enabling, optimizing and tuning applications on these systems. Therefore, there will be an increasingly urgent need to have efficient performance modeling, tuning, and enablement tools that address such challenges in extreme scale computing.

Various performance tool suites have been developed in the high performance computing community to successfully monitor, control, and scale up the performance of large scale scientific applications. As their overhead grows with the number of monitored components, in addition to the growing complexity of the system itself, the scalability of these performance tools on extreme-scale systems is approaching critical limits. On the other hand, abundant computational resources in extreme scale computing can be leveraged for performance analysis and tuning, especially when applications often utilize a subset of computational resources. For example, the memory bound application can leverage idle computing cores for performance evaluation and tuning. Moreover, one obvious analysis and tuning advantage provided by extreme scale computing is to readily apply asymptotic analysis, which usually requires far less computational intensity. Extreme scale computing presents both challenges in application enablement and opportunities to be explored.

The goal of this workshop is to promote community-wide discussion identifying the methodologies, analysis, and software tools, which can enable effective and scalable performance evaluation for extreme scale computing systems. We seek submissions of papers that invent new techniques, introduce new methodologies, propose new research directions and discuss approaches for unsolved issues.

The topics of this workshop are related to methodological aspects as well as practical of the application enablement in extreme scale computing. Topics of interest include (but are not limited to)

• Performance modeling for all aspects of extreme scale systems, e.g., cores, memory, interconnect and I/O, etc.
• Algorithms for self-tuning and -optimization of applications in extreme scale computing
• Profiling and debugging tools for applications in extreme scale computing
• Performance, tracing and simulation tools with extreme scalability
• Methodologies and tools for extreme scale performance evaluation, and verification
• Empirical and deployment studies of extreme scale performance tools: challenges, techniques and lessons

Important Dates

Submission Deadline:	10 April, 2012
Author Notification:	23 April, 2012
Final Manuscript Due:	08 May, 2012
Registration Due:	08 May, 2012
Workshop Date:	25-27 June, 2012

Submission Instructions

Prospective authors are invited to submit manuscripts reporting original unpublished research and recent related developments. The length of the papers should not exceed 6 pages + 2 pages for overlength charges (IEEE Computer Society Proceedings Manuscripts style: two columns, single-spaced, 10-point font), including figures and references. You can confirm the IEEE Computer Society Proceedings Author Guidelines.

Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). Distinguished selected papers will be published in Special Issues of Journals indexed by SCI.

At least one of the authors of any accepted paper is requested to register the paper.

Submission Link: https://www.easychair.org/conferences/?conf=escape2012

Workshop Chairs

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