Contemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors.
The first part of the book examines significant trends in HPC systems, including computer architectures, applications, performance, and software. It discusses the growth from terascale to petascale computing and the influence of the TOP500 and Green500 lists. The second part of the book provides a comprehensive overview of 18 HPC ecosystems from around the world. Each chapter in this section describes programmatic motivation for HPC and their important applications; a flagship HPC system overview covering computer architecture, system software, programming systems, storage, visualization, and analytics support; and an overview of their data center/facility. The last part of the book addresses the role of clouds and grids in HPC, including chapters on the Magellan, FutureGrid, and LLGrid projects.
With contributions from top researchers directly involved in designing, deploying, and using these supercomputing systems, this book captures a global picture of the state of the art in HPC.
Table of Contents
Trends in HPC: Contemporary High Performance Computing. HPC Challenge: Design, History, and Implementation Highlights. The Green500 List: A Look Back to Look Forward. Contemporary HPC: Tera 100. The Mole-8.5 Supercomputing System. Supercomputing in the DoD High Performance Computing Modernization Program. Keeneland: Computational Science using Heterogeneous GPU Computing. Blue Gene/P: JUGENE. Roadrunner: The Dawn of Accelerated Computing. Blue Gene/Q: Sequoia and Mira. "Lomonosov": Supercomputing at Moscow State University. Pleiades: NASA's First Petascale Supercomputer. The Blue Waters Super-System for Super-Science. Kraken: The First Academic Petaflop Computer. Titan: 20-Petaflop Cray XK6 at Oak Ridge National Laboratory. Blacklight: Coherent Shared Memory for Enabling Science. Gordon: A Novel Architecture for Data-Intensive Computing. Monte Rosa: Architectural Features and a Path toward Exascale. Tianhe-1A Supercomputer: System and Application. TSUBAME2.0: The First Petascale Supercomputer in Japan. HA-PACS. Clouds and Grids in HPC: Magellan: A Testbed to Explore Cloud Computing for Science. FutureGrid: A Reconfigurable Testbed for Cloud, HPC, and Grid Computing. LLGrid: Supercomputer for Sensor Processing. Bibliography. Index.
Jeffrey S. Vetter holds a joint appointment at Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology (Georgia Tech). At ORNL, he is a Distinguished R&D Staff member and the founding Group Leader of the Future Technologies Group in the Computer Science and Mathematics Division. At Georgia Tech, Dr. Vetter is a professor in the Computational Science and Engineering School of the College of Computing, the principal investigator for the NSF Track 2D Experimental Computing Facility (Keeneland), and the director of the NVIDIA CUDA Center of Excellence. He earned a Ph.D. in computer science from Georgia Tech. A Senior Member of the IEEE and a Distinguished Scientist member of the ACM, Dr. Vetter has published over 110 peer-reviewed papers and has been a recipient of the ACM Gordon Bell Prize. His current research explores the role of emerging technologies in high performance computing.
"Jeffrey Vetter has organized and edited a definitive state-of-the-practice volume on high-end high-performance computing (HPC), as it exists right now. What is provided is an insider’s view of major HPC ecosystems, in a world where petascale computing is the reality. … Consistent editing and parallel presentations contribute to the usefulness of this volume. Numerous figures and tables complement the text … an important reference for the high-end HPC community."
—Computing Reviews, July 2013