The Blue Gene/L Supercomputer: A Hardware and Software Story
- José E. Moreira,
- Valentina Salapura,
- George Almasi,
- Charles Archer,
- Ralph Bellofatto,
- Peter Bergner,
- Randy Bickford,
- Mathias Blumrich,
- José R. Brunheroto,
- Arthur A. Bright,
- Michael Brutman,
- José G. Castaños,
- Dong Chen,
- Paul Coteus,
- Paul Crumley,
- Sam Ellis,
- Thomas Engelsiepen,
- Alan Gara,
- Mark Giampapa,
- Tom Gooding,
- Shawn Hall,
- Ruud A. Haring,
- Roger Haskin,
- Philip Heidelberger,
- Dirk Hoenicke,
- Todd Inglett,
- Gerrard V. Kopcsay,
- Derek Lieber,
- David Limpert,
- Pat McCarthy,
- Mark Megerian,
- Mike Mundy,
- Martin Ohmacht,
- Jeff Parker,
- Rick A. Rand,
- Don Reed,
- Ramendra Sahoo,
- Alda Sanomiya,
- Richard Shok,
- Brian Smith,
- Gordon G. Stewart,
- Todd Takken,
- Pavlos Vranas,
- Brian Wallenfelt,
- Michael Blocksome,
- Joe Ratterman
The Blue Gene/L system at the Department of Energy Lawrence Livermore National Laboratory in Livermore, California is the world’s most powerful supercomputer. It has achieved groundbreaking performance in both standard benchmarks as well as real ...
Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems
- Gregory L. Lee,
- Martin Schulz,
- Dong H. Ahn,
- Andrew Bernat,
- Bronis R. de Supinski,
- Steven Y. Ko,
- Barry Rountree
Dynamic binary instrumentation for performance analysis on large scale architectures such as the IBM Blue Gene/L system (BG/L) poses unique challenges. Their unprecedented scale and often limited OS support require new mechanisms to organize binary ...
The Cell Broadband Engine: Exploiting Multiple Levels of Parallelism in a Chip Multiprocessor
As CMOS feature sizes continue to shrink and traditional microarchitectural methods for delivering high performance (e.g., deep pipelining) become too expensive and power-hungry, chip multiprocessors (CMPs) become an exciting new direction by which system ...
Scientific Computing Kernels on the Cell Processor
In this work, we examine the potential of using the recently-released STI Cell processor as a building block for future high-end scientific computing systems. Our work contains several novel contributions. First, we introduce a performance model for Cell ...
Scientific computing Kernels on the cell processor
In this work, we examine the potential of using the recently-released STI Cell processor as a building block for future high-end scientific computing systems. Our work contains several novel contributions. First, we introduce a performance model for ...
The Coming Wave of Multithreaded Chip Multiprocessors
The performance of microprocessors has increased exponentially for over 35 years. However, process technology challenges, chip power constraints, and difficulty in extracting instruction-level parallelism are conspiring to limit the performance of future ...
