-------- Original-Nachricht -------- Betreff: [ICPP workshop] CloudTech-HPC, Pittsburgh, PA, September 10-13, 2012 Datum: Sun, 12 Feb 2012 07:31:28 +0800 Von: cfp@grid.chu.edu.tw An: neumann@wu-wien.ac.at

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Call for Papers

International Workshop on Cloud Technologies for High Performance Computing (CloudTech-HPC) http://sites.google.com/site/cloudtechpc/

Pittsburgh, PA, September 10-13, 2012

in conjunction with

The 41st International Conference on Parallel Processing (ICPP 2012) http://www.icpp2012.org/

Introduction High Performance Computing (HPC) involves the design of system architecture, tuning of software environment, construction of mathematical models and numerical solution techniques for solving scientific, social scientific and engineering problems. It often requires a huge number of computing and storage resources to perform large-scale analyses and experiments. In general, different scientific experiments also have to be reorganized or redesigned their computing models for making use of the HPC system. Cloud computing can address many of the aforementioned concerns. By means of cloud technologies, users can access to massive computing and storage resources and can customize their computing environment for offering a variety of services. Moreover, by using the pay per use model, users can scale up or down the computing infrastructure according to their requirements and budget without deploying actual physical infrastructure. They could get access to their own virtualized HPC cluster in a self-service, dynamically scalable and fully configurable environment. Such a computing paradigm provides a flexible high performance computing environment. However, there is some performance gap between cloud computing and the traditional HPC environments. Therefore, the performance of running the high performance applications in clouds comparing with the traditional HPC infrastructure should be a concern. The goal of this workshop is to bring together researchers and practitioners in cloud technologies for high performance computing. Please join us in a discussion of new ideas, experiences, and the latest trends in these areas at the workshop.

Scope and Interests All papers related to cloud technologies for high performance computing are welcome. We cordially invite presenters to submit manuscripts for any application domain as long as the core of the manuscript belongs to, but not limited to, the following topics: � Virtualization techniques for HPC clusters � Virtualization techniques for HPC GPU/multicore systems � Performance evaluation of HPC clouds � HPC cloud applications � Scalable Fault Resilience Techniques for HPC clouds � HPC Cloud-based Services � Programming Models for HPC clouds � HPC cloud infrastructure � HPC as a Service � Auditing and monitoring for HPC clouds � Modeling, and Optimizations � Scalable Scheduling for HPC clouds � Middleware frameworks for HPC clouds � Load balancing for HPC clouds � Optimal deployment configuration for HPC clouds � I/O of HPC applications. � Remote Visualization

Important Dates Submission Deadline: March 09, 2012 Authors Notification: June 08, 2012 Camera ready Due: July 06, 2012

Electronic Submission Prepare your workshop paper with the IEEE standard double column format no more than 6 pages in the PDF file format. Submit your paper(s) at the EasyChair submission site: https://www.easychair.org/conferences/?conf=cloudtechhpc2012 All submissions should describe original, previously unpublished researches, not currently under review by another conference, journal or workshop. Each submission should be assumed that, if the paper is accepted, at least one of the authors must attend the workshop to present the work in order for the paper to be included in the Proceedings of ICPP-2012 Workshops that will be published by the IEEE CS Press.

Workshop Organizers

Steering Chair: Rajkumar Buyya, University of Melbourne, Australia Franck Cappello, INRIA & UIUC, France Yeh-Ching Chung, National Tsing Hua University, Taiwan

General Chair: Manish Parashar, Rutgers, The State University of New Jersey, USA Ching-Hsien Hsu, Chung Hua University, Taiwan

Program Chair: Kuan-Chou Lai, National Taichung University, Taiwan

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