1993 Gordon Bell Prize Winners
Computer
Enabling technologies for petaflops computing
Enabling technologies for petaflops computing
Quantum chromodynamics simulation on NWT
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
Numerical simulation and immersive visualization of hairpin vortices
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
$7.0/Mflops astrophysical N-body simulation with treecode on GRAPE-5
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Achieving high sustained performance in an unstructured mesh CFD application
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Very high resolution simulation of compressible turbulence on the IBM-SP system
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
1.34 Tflops molecular dynamics simulation for NaCl with a special-purpose computer: MDM
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Application of a high performance parallel eigensolver to electronic structure calculations
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
QCDSP: a Teraflop scale massively parallel supercomputer
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
An 8.61 Tflop/s molecular dynamics simulation for NaCl with a special-purpose computer: MDM
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
1994 Gordon Bell Prize Winners
Computer
1996 Gordon Bell Prize Winners
Computer
1997 Gordon Bell Prize Winners
Computer
A 29.5 Tflops simulation of planetesimals in Uranus-Neptune region on GRAPE-6
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Global Grid for Analysis of Arthropod Evolution
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
A 15.2 TFlops Simulation of Geodynamo on the Earth Simulator
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
QCDOC: A 10 Teraflops Computer for Tightly-Coupled Calculations
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Protein Explorer: A Petaflops Special-Purpose Computer System for Molecular Dynamics Simulations
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
High Resolution Forward And Inverse Earthquake Modeling on Terascale Computers
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
High-Performance Direct Pairwise Comparison of Large Genomic Sequences
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 7 - Volume 08
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Simulating and visualizing the human arterial system on the TeraGrid
Future Generation Computer Systems - IGrid 2005: The global lambda integrated facility
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Teraflops Sustained Performance With Real World Applications
International Journal of High Performance Computing Applications
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Petascale computing is currently a common topic of discussion in the high performance computing community. Biological applications, particularly protein folding, are often given as examples of the need for petascale computing. There are at present biological applications that scale to execution rates of approximately 55 teraflops on a special-purpose supercomputer and 2.2 teraflops on a general-purpose supercomputer. In comparison, Qbox, a molecular dynamics code used to model metals, has an achieved performance of 207.3 teraflops. It may be useful to increase the extent to which operation rates and total calculations are reported in discussion of biological applications, and use total operations (integer and floating point combined) rather than (or in addition to) floating point operations as the unit of measure. Increased reporting of such metrics will enable better tracking of progress as the research community strives for the insights that will be enabled by petascale computing.