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Call for Chapter Proposals for Research and Applications in Global Supercomputing

Intent for Proposal Submission Deadline – December 1, 2012
Proposal Submission Deadline - January 2, 2013

Full Chapters Deadline - March 1, 2013

 

Research and Applications in Global Supercomputing A book edited by:
Dr. Richard S. Segall, Arkansas State University, USA (rsegall@astate.edu,

Introduction

A supercomputer is a computer at the frontlines of current processing capacity and speed of calculations. First introduced in the 1960s, the supercomputers of the 1970s used only few processors, and in the 1990s machines with thousands of processors began to appear. By the end of the 20th century, supercomputers were massively parallel computing systems composed of tens of thousands of processors. In contrast, supercomputers of the 21st century can use over 100,000 processors, including those with graphic capabilities. Supercomputers are used today for highly-intensive calculation tasks for projects ranging from quantum physics, weather forecasting, molecular modeling, and physical simulations.

Supercomputers can be used for simulations of airplanes in wind tunnels, detonations of nuclear weapons, splitting electrons, and helping researchers study how drugs combat the swine flu virus. Supercomputing can be in the form of grid computing, in which the processing power of a large number of computers is distributed, or in the form of computer clusters, in which a large number of processors are used in close proximity to each other. The IBM Sequoia, completed in 2012, is currently the fastest supercomputer at 16.32 petaflops consuming 7890 kilowatts of power.

The Indian government has stated that it has committed about $940 million to develop what could become the world's fastest supercomputer by 2017, one that would have a performance of 1 exaflop, which is about 61 times faster than today’s fastest computers.

Objectives of the Book

The objective of this book is to present the concepts of supercomputing, explore its technologies and their applications, and develop a broad understanding of issues pertaining to the use of supercomputing in multidisciplinary fields. The book aims to highlight the historical and technical background; architecture; programming systems; storage, visualization, analytics, state of practice in industry, universities and government; and numerous applications ranging from such areas as computational earth and atmospheric sciences to computational medicine.

Target Audience

This book is designed to cover a broad range of topics in the field of supercomputing. As a result, it will be an excellent source on this topic. It is primarily intended for professionals, researchers, students, and practitioners who want to more fully understand the realm and technology of supercomputing and how it has been used to solve large-scale research problems in a multitude of disciplines. Because each chapter is designed to be stand-alone, the reader can focus on the topics that most interest him/her. Readers would utilize this book as a unified presentation of a spectrum of up-to-date research and applications topics on supercomputing.

The collection of chapters could interest the readers to do subsequent research in supercomputing, as well as be used in teaching courses in supercomputing. The book is focused on the structure, practice, and applications of supercomputing such as represented by the following sections.

Recommended topics include but not limited to the following:

* Section I: Background of Supercomputing History of supercomputing Fundamentals of supercomputing Supercomputing hardware Supercomputing organizations Supercomputing centers and clusters

* Section 2: Supercomputing Architecture Processor architecture Chip multiprocessors Interconnect technologies Quality of service Network topologies Congestion management of supercomputers Power-efficient architectures Embedded and reconfigurable architectures Innovative hardware/software co-design Parallel and scalable system architectures Performance evaluation of systems architectures

* Section 3: Clouds, Clusters, and Grids Cloud supercomputing Grid supercomputing Virtualizations and overlays Data management and scientific applications Storage clouds architectures Programming models Tools for computing on clouds and grids Quality of service Tools for Integration of Clouds, Clusters, and Grids Management and monitoring Security and identity management Scheduling, load balancing, and resource provisioning

* Section 4: Programming Systems for Supercomputers Compiler analysis and optimization Libraries Parallel application frameworks Software engineering for parallel programming Solutions for parallel programming challenges Parallel programming for large-scale systems Performance analysis Productivity-oriented programming environments and studies

* Section 5: Storage, Visualization, and Analytics for Supercomputers Databases for high performance computing Data mining for high performance computing Visualization for modeling and simulation Parallel file, storage, and archival systems Storage systems for data intensive computing Storage networks Visualization and image processing Input/output performance tuning

* Section 6: State of Practice of Supercomputing Experiences of large-scale infrastructures and facilities Comparable benchmarks of actual machines Facilitation of "big data" associated with supercomputing Multi-center infrastructure and their management Bridging of cloud data centers and their management Procurement, technology investments, and acquisition of best practices Infrastructural policy issues and international experiences Supercomputing at universities Supercomputing in China, India, and around the world Supercomputing data mining

* Section 7: Applications of Supercomputing Bioinformatics and computational biology Computational earth and atmospheric sciences Computational materials sciences and engineering Computational chemistry, fluid dynamics, physics, etc. Computational and data-enabled social science Computational design optimization for aerospace, manufacturing, and industrial applications Computational medicine and bioengineering

Submission Procedure

Researchers and practitioners are invited to submit e-mail intent for proposal submission on or before Saturday December 1, 2012, and a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter on or before Wednesday January 2, 2013.

Authors of accepted proposals will be notified by Tuesday January 15, 2013 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by Friday March 1, 2013. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints.

For additional information regarding the publisher, please visit: http://www.igi-global.com/.

This book is anticipated to be released in 2014.

Important Dates

December 1, 2012- Intent for Proposal Submission Deadline

January 2, 2013 - 2-3 page Chapter Proposal

January 15, 2013 - Notification of Acceptance

March 1, 2013 - Full Chapter Submission

May 30, 2013 - Review Results to Authors

June 30, 2013 - Revised Chapter Submission

July 30, 2013 - Final Chapter Submission

August 30, 2013 - Final Deadline

Inquiries and submissions can be forwarded electronically (Word document) or by mail to:

Dr. Richard S. Segall, Dr. Qingyu Zhang
Arkansas State University, College of Business Department of Computer &
Information Technology State University, AR 72467-0130 USA
Tel.: 870 972-3416
Fax: 870 972-3868
rsegall@astate.edu
, qzhang@astate.edu

 

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