© 2013 – Chapman and Hall/CRC
730 pages | 320 B/W Illus.
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.
"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
Trends in HPC
Contemporary High Performance Computing, Jeffrey S. Vetter
HPC Challenge: Design, History, and Implementation Highlights, Jack Dongarra and Piotr Luszczek
The Green500 List: A Look Back to Look Forward, Wu-chun Feng, Kirk Cameron, and Thomas Scogland
Tera 100, Mickael Amiet, Patrick Carribault, Elisabeth Charon and Guillaume Colin de Verdiere, Philippe Deniel, and Gilles Grospellier
The Mole-8.5 Supercomputing System, Xiaowei Wang and Wei Ge
Supercomputing in the DoD High Performance Computing Modernization Program, John E. West, Roy L. Campbell, and Larry P. Davis
Keeneland: Computational Science using Heterogeneous GPU Computing, Jeffrey S. Vetter, Richard Glassbrook, Karsten Schwan, Sudha Yalamanchili, Mitch Horton, Ada Gavrilovska, Magda Slawinska, Jack Dongarra, Jeremy Meredith, Philip C. Roth, Kyle Spafford, Stanimire Tomov, and John Wynkoop
Blue Gene/P: JUGENE, Norbert Attig, Jutta Docter, Wolfgang Frings, Johannes Grotendorst, Inge Gutheil, Florian Janetzko, Olaf Mextorf, Bernd Mohr, Michael Stephan, Klaus Wollkersdorfer, Lothar Wollschlager, Stefan Krieg, and Thomas Lippert
Roadrunner: The Dawn of Accelerated Computing, Sriram Swaminarayan
Blue Gene/Q: Sequoia and Mira, Bill Allcock, Anna Maria Bailey, Ray Bair, Charles Bacon, Ramesh Balakrishnan, Adam Bertsch, Barna Bihari, Brian Carnes, Dong Chen, George Chiu, Richard Coffey, Susan Coghlan, Paul Coteus, Kim Cupps, Erik W. Draeger, Thomas W. Fox, Larry Fried, Mark Gary, Jim Glosli, Thomas Gooding, John Gunnels, John Gyllenhaal, Jeff Hammond, Ruud Haring, Philip Heidelberger, Mark Hereld, Todd Inglett, K.H. Kim, Kalyan Kumaran, Steve Langer, Amith Mamidala, Rose McCallen, Paul Messina, Sam Miller, Art Mirin, Vitali Morozov, Fady Najjar, Mike Nelson, Albert Nichols, Martin Ohmacht, Michael E. Papka, Fabrizio Petrini, Terri Quinn, David Richards, Nichols A. Romero, Kyung Dong Ryu, Andy Schram, Rob Shearer, Tom Spelce, Becky Springmeyer, Fred Streitz, Bronis de Supinski, Pavlos Vranas, Bob Walkup, Amy Wang, Timothy Williams, and Robert Wisniewski
"Lomonosov": Supercomputing at Moscow State University, Victor Sadovnichy, Alexander Tikhonravov, Vsevolod Opanasenko, and Vladimir Voevodin
Pleiades: NASA’s First Petascale Supercomputer, Rupak Biswas, William Thigpen, Robert Hood, Robert Ciotti, Piyush Mehrotra, Chris Henze, John Parks, and Bryan Biegel
The Blue Waters Super-System for Super-Science, Brett Bode, Michelle Butler, Thom Dunning, William Gropp, Torsten Hoefler, Wen-mei Hwu, and William Kramer
Kraken: The First Academic Petaflop Computer, Mark R. Fahey, Lonnie D. Crosby, Gary L. Rogers, and Victor G. Hazlewood
Titan: 20-Petaflop Cray XK6 at Oak Ridge National Laboratory, Arthur Bland, Wayne Joubert, Don Maxwell, Norbert Podhorszki, Jim Rogers, Galen Shipman, and Arnold Tharrington
Blacklight: Coherent Shared Memory for Enabling Science, Nick Nystrom, Eng Lim Goh, Phil Blood, and Joel Welling
Gordon: A Novel Architecture for Data-Intensive Computing, Pietro Cicotti, Michael Norman, Robert Sinkovits, Allan Snavely, and Shawn Strande
Monte Rosa: Architectural Features and a Path toward Exascale, Sadaf R Alam, Gilles Fourestey, Maria Grazia Giuffreda, and Colin McMurtrie
Tianhe-1A Supercomputer: System and Application, Xiangke Liao, Yutong Lu, and Min Xie
TSUBAME2.0: The First Petascale Supercomputer in Japan, Satoshi Matsuoka, Takayuki Aoki, Toshio Endo, Hitoshi Sato, Shin'ichiro Takizawa, Akihiko Nomura, and Kento Sato
HA-PACS, Taisuke Boku, Toshihiro Hanawa, Yoshinobu Kuramashi, Kohji Yoshikawa, Mitsuo Shoji, Yuetsu Kodama, Mitsuhisa Sato, and Masayuki Umemura
Clouds and Grids in HPC
Magellan: A Testbed to Explore Cloud Computing for Science, Lavanya Ramakrishnan, Adam Scovel, Iwona Sakrejda, Susan Coghlan, Shane Canon, Anping Liu, Devarshi Ghoshal, Krishna Muriki, and Nicholas J. Wright
FutureGrid: A Reconfigurable Testbed for Cloud, HPC, and Grid Computing, Geoffrey C. Fox, Gregor von Laszewski, Javier Diaz, Kate Keahey, Jose Fortes, Renato Figueiredo, Shava Smallen, Warren Smith, and Andrew Grimshaw
LLGrid: Supercomputer for Sensor Processing, Jeremy Kepner, William Arcand, Nadya Bliss, David Bestor, Chansup Byun, Matthew Hubbell, Peter Michaleas, Julie Mullen, and Andrew Prout, Albert Reuther, Antonio Rosa, and Charles Yee