For the software library, see. LINPACK benchmarks, Jim Bunch, and Gilbert StewartInitial release1979 ( 1979)WebsiteThe LINPACK Benchmarks are a measure of a system's computing power. Introduced by, they measure how fast a computer solves a dense n by n Ax = b, which is a common task in.The latest version of these is used to build the list, ranking the world's most powerful supercomputers.The aim is to approximate how fast a computer will perform when solving real problems. It is a simplification, since no single computational task can reflect the overall performance of a computer system. Nevertheless, the LINPACK benchmark performance can provide a good correction over the peak performance provided by the manufacturer.
The peak performance is the maximal theoretical performance a computer can achieve, calculated as the machine's frequency, in cycles per second, times the number of operations per cycle it can perform. The actual performance will always be lower than the peak performance. The is a complex issue that depends on many interconnected variables.
The performance measured by the LINPACK benchmark consists of the number of operations, generally additions and multiplications, a computer can perform per second, also known as. However, a computer's performance when running actual applications is likely to be far behind the maximal performance it achieves running the appropriate LINPACK benchmark.The name of these benchmarks comes from the package, a collection of algebra subroutines widely used in the 1980s, and initially tightly linked to the LINPACK benchmark. The package has been since then replaced by other libraries. Retrieved 2015-02-10. ^ Dongarra, Jack J.; Luszczek, Piotr; Petitet, Antoine (2003), (PDF), Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd., 15 (9): 803–820,:., archived from on 2016-03-04, retrieved 2012-01-13. Dongarra, J.J.; Moler, C.B.; Bunch, J.R.; Stewart, G.W. (1979),.
/. Linpack 100x100 Benchmark In C/C For PCs. Original Source from NETLIB. Translated to C by Bonnie Toy 5/88 (modified on 2/25/94 to fix. a problem with daxpy for unequal increments or equal increments. not equal to 1.
Dongarra, Jack (1988), (PDF), Supercomputing, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, 297: 456–474,:,. (PDF), retrieved 2015-02-10. Bailey, D.H.; Barszcz, E.; Barton, J.T.; Browning, D.S.; Carter, R.L.; Dagum, L.; Fatoohi, R.A.; Frederickson, P.O.; Lasinski, T.A.; Schreiber, R.S.; Simon, H.D.; Venkatakrishnan, V.; Weeratunga, S.K. (1991), Supercomputing: 158–165,:,. Retrieved 2015-02-10. Retrieved 2015-02-10. Retrieved 2015-02-10.
Retrieved 2015-02-10. Retrieved 2015-02-10. Retrieved 2015-02-10. Retrieved 2015-02-10. Archived from on 2013-02-03.
Haigh, Thomas (2004). LINPACK is a benchmark that people often cite because there’s such a historical data base of information there, because it’s fairly easy to run, it’s fairly easy to understand, and it captures in some sense the best and worst of programming. Hammond, Steven (1995). Gahvari, Hormozd; Hoemmen, Mark; Demmel, James; Yelick, Katherine (2006), 'Benchmarking Sparse Matrix-Vector Multiply in Five Minutes', (PDF).
Dongarra, Jack J. (2007), 'The HPC Challenge Benchmark: A Candidate for Replacing Linpack in the Top500?' , (PDF). Christopher Mims (2010-11-08). Retrieved 2011-09-22. Meuer, Martin (2002-05-24).
Archived from on 2013-02-03. Retrieved 2015-02-10. Luszczek, Piotr; Dongarra, Jack J.; Koester, David; Rabenseifner, Rolf; Lucas, Bob; Kepner, Jeremy; Mccalpin, John; Bailey, David; Takahashi, Daisuke (2005), (PDF). Hemsoth, Nicole (June 26, 2014).
Retrieved 2014-09-08. Dongarra, Jack J. (2010), (PDF)External links.
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