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* ID :  [https://www.wikidata.org/wiki/Q609010 Q609010]

2020년 12월 26일 (토) 04:14 판

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  1. linpack will use the private Ethernet interconnect by default.[1]
  2. This applet runs the Linpack Benchmark in Java.[2]
  3. The Linpack Benchmark is a numerically intensive test that has been used for years to measure the floating point performance of computers.[2]
  4. Special thanks to Jonathan Hardwick (jch@cs.cmu.edu) who made a number of valuable optimizations to the Linpack Java Benchmark.[2]
  5. As a yardstick of performance we are using the `best' performance as measured by the LINPACK Benchmark.[3]
  6. The LINPACK Benchmark was introduced by Jack Dongarra.[3]
  7. The benchmark used in the LINPACK Benchmark is to solve a dense system of linear equations.[3]
  8. LINPACK is a software library for performing numerical linear algebra on digital computers.[4]
  9. The LINPACK benchmarks appeared initially as part of the LINPACK user's manual.[4]
  10. Linpack is a benchmark and the most aggressive stress testing software available today.[5]
  11. Make sure to keep an eye on the temperatures as Linpack generates excessive amount of stress like never seen before.[5]
  12. The LINPACK Benchmarks are a measure of a system's floating-point computing power.[6]
  13. Nevertheless, the LINPACK benchmark performance can provide a good correction over the peak performance provided by the manufacturer.[6]
  14. The name of these benchmarks comes from the LINPACK package, a collection of algebra Fortran subroutines widely used in the 1980s, and initially tightly linked to the LINPACK benchmark.[6]
  15. LINPACK 100 is very similar to the original benchmark published in 1979 along with the LINPACK users' manual.[6]
  16. LINPACK was designed for supercomputers in use in the 1970s and early 1980s.[7]
  17. LINPACK has been largely superceded by LAPACK, which has been designed to run efficiently on shared-memory, vector supercomputers.[7]
  18. General idea of Linpack benchmark is to measure the number of floating point operations per second (flops) used to solve the system of linear equations.[8]
  19. Top500 list of the most powerful supercomputers in the world is based on the Linpack results.[8]
  20. To run a larger LINPACK benchmark that uses more nodes, CPU cores, or memory, you will need to replace the existing HPL.dat file next to the xhpl binary with a new customized file.[9]
  21. (That is, IF it worked against real data and reported any result other than how accurately it solved the linpack problem.[10]
  22. In that sense, Linpack is useful for getting a rough notion of the iPhone's power on math-intensive work and almost nothing else.[10]
  23. The LINPACK benchmark is a computer benchmark that reports the performance for solving a system of linear equations with a general dense matrix of size 100, 1,000, and also of arbitrary size.[11]
  24. By reaching 33.86 petaflops on the LINPACK Benchmark, China's Tianhe-2 supercomputer has just become the world's fastest computer.[12]
  25. The technical computing community thinks of LINPACK not as a matrix software library, but as a benchmark.[12]
  26. The ranking of world's fastest computer is based on the LINPACK Benchmark.[12]
  27. Since 1993, LINPACK benchmark results have been collected by the Top500 project.[12]
  28. The Linpack benchmark is a method of measuring the floating point rate of execution of a computer by running a program that solves a system of linear equations.[13]
  29. Linpack was originally developed by Jack Dongarra to give computer users an idea of the time it would take a machine to solve complex problems in linear algebra.[13]
  30. Because Linpack performs tests in a specialized way (solving sets of multivariable equations), it is more accurate for some programs than for others.[13]
  31. Linpack is nevertheless useful as an overall benchmark and has gained wide acceptance as a general method of evaluating computer and supercomputer performance.[13]
  32. Do not use this benchmark to report LINPACK 100 performance because that is a compiled-code only benchmark.[14]
  33. This repository contains an implementation of the Linpack benchmark obtained from netlib.[15]
  34. elreyes/linpack Memory required: 315K. LINPACK benchmark, Double precision.[15]
  35. HPL is a portable implementation of the High-Performance Linpack (HPL) Benchmark for Distributed-Memory Computers.[16]
  36. Is it really necessary to run LINPACK with a (or is extrapolation allowed)?[17]
  37. During the run the cores were actually running at ~2.3-2.4GHz, hence LINPACK achieves between 80% and 90% of the theoretical peak.[18]
  38. Description This benchmark was produced by Jack Dongarra from the "LINPACK" package of linear algebra routines.[19]
  39. Linpack benchmark was only of use for measuring performance of single processor systems.[19]
  40. At some point in time, a Java version of the Linpack benchmark rearranged the order of initial data (function matgen) and this changed the numeric results.[19]
  41. Linpack benchmark is a test developed as a supplement to the Linpack library for testing the performance of computer systems.[20]
  42. The Linpack benchmark, which was developed for testing computers of traditional architecture, should not be confused with High Performance Linpack benchmark.[20]
  43. Let us study scalability for the implementation of the HPL Linpack test in accordance with Scalability methodology.[20]
  44. To do so, one can use this LINPACK for benchmarking your own PC/Cluster/Supercomputer or whatever that made of CPUs as processor.[21]
  45. LINPACK has been mostly used to test the supercomputer, whose best performance was compared and ranked by TOP500, the most famous HPC benchmark ranking website.[21]
  46. All benchmark presented here are based on Intel Distribution for LINPACK Benchmark library which can be used to run on multiple compute nodes or one compute node with multiple MPI processes.[21]
  47. We have included LINPACK because it more obviously solves determinants than LAPACK.[22]
  48. Linpack Xtreme was created because Prime95 is no longer effective like it used to be.[23]
  49. LinX, IntelBurnTest, OCCT use outdated Linpack binaries from 2012.[23]
  50. The Intel Optimized MP LINPACK Benchmark can be used for TOP500 runs (see http://www.top500.org).[24]
  51. The Intel® Optimized MP LINPACK Benchmark implements the Massively Parallel (MP) LINPACK benchmark using HPL code.[24]
  52. Do not use this benchmark to report LINPACK 100 performance.[24]
  53. Use the Intel Optimized MP LINPACK Benchmark to benchmark your cluster.[24]
  54. How to achieve good Linpack Performance Result ?[25]
  55. If you have some other methods for helping us to further improve the Linpack performance on Gideon, it will be most welcomed.[25]
  56. HPL is source for the linpack benchmark, which needs MPI and a BLAS library.[25]
  57. It's easy to run Linpack across a Linux cluster with Bright Cluster Manager.[26]
  58. The Linpack benchmark, in particular the High-Performance Linpack (HPL) implementation, has emerged as the de-facto standard benchmark to rank supercomputers in the TOP500.[27]

소스

  1. ↑ linpack
  2. ↑ 2.0 2.1 2.2 Linpack Benchmark -- Java Version
  3. ↑ 3.0 3.1 3.2 The Linpack Benchmark
  4. ↑ 4.0 4.1 Wikipedia
  5. ↑ 5.0 5.1 Linpack Xtreme (1.1.3) Download
  6. ↑ 6.0 6.1 6.2 6.3 LINPACK benchmarks
  7. ↑ 7.0 7.1 LINPACK
  8. ↑ 8.0 8.1 Apps on Google Play
  9. ↑ Linpack Benchmark — ECS Networking
  10. ↑ 10.0 10.1 ‎Linpack
  11. ↑ LINPACK Benchmark
  12. ↑ 12.0 12.1 12.2 12.3 The LINPACK Benchmark
  13. ↑ 13.0 13.1 13.2 13.3 What is Linpack benchmark?
  14. ↑ Intel® Optimized LINPACK Benchmark
  15. ↑ 15.0 15.1 ereyes01/linpack
  16. ↑ High Perf. Linpack (HPL)
  17. ↑ How to get the best LINPACK result and conquer the Top500?
  18. ↑ LINPACK benchmark {#linpack-benchmark} — Sigma2 documentation
  19. ↑ 19.0 19.1 19.2 Roy Longbottom's PC benchmark Collection
  20. ↑ 20.0 20.1 20.2 Linpack benchmark
  21. ↑ 21.0 21.1 21.2 Benchmark Your Cluster with Intel Distribution for LINPACK Benchmark
  22. ↑ LAPACK and LINPACK -- Linear Algebra PACKages
  23. ↑ 23.0 23.1 Linpack Xtreme
  24. ↑ 24.0 24.1 24.2 24.3 Overview of the Intel Optimized MP LINPACK Benchmark
  25. ↑ 25.0 25.1 25.2 How to achieve good Linpack Performance Result
  26. ↑ How to run Linpack across a Bright Linux cluster
  27. ↑ Emulating High Performance Linpack on a Commodity Server at the Scale of a Supercomputer

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