LINPACK Benchmark 2.0



Publisher Description



LINPACK Benchmark Version 2.0 ================= Presented by University of Tennessee Knoxville and Innovative Computing Laboratory. Implementation: Piotr Luszczek This an optimized implementation of the LINPACK Benchmark. It is a yardstick of performance because it is widely used and performance numbers are available for almost all relevant systems. The LINPACK Benchmark was introduced by Jack Dongarra. A detailed description as well as a list of performance results on a wide variety of machines is available in PostScript(TM) form from Netlib: http://www.netlib.org/benchmark/. The test used in the LINPACK Benchmark is to solve a dense system of linear equations. The version of the benchmark for TOP500 allows the user to scale the size of the problem and to optimize the software in order to achieve the best performance for a given machine. This performance does not reflect the overall performance of a given system, as no single number ever can. It does, however, reflect the performance of a dedicated system for solving a dense system of linear equations. Since the problem is very regular, the performance achieved is quite high, and the performance numbers give a good correction of peak performance. By measuring the actual performance for different problem sizes N, a user can get not only the maximal achieved performance Rmax for the problem size Nmax but also the problem size N_1/2 where half of the performance Rmax is achieved. These numbers together with the theoretical peak performance Rpeak are the numbers given in the TOP500. In an attempt to obtain uniformity across all computers in performance reporting, the algorithm used in solving the system of equations in the benchmark procedure must conform to the standard operation count for LU factorization with partial pivoting. In particular, the operation count for the algorithm must be 2/3 N*N*N + O(N*N) floating point operations. This excludes the use of a fast matrix multiply algorithms like "Strassian's Method". This is done to provide a comparable set of performance numbers across all computers. If in the future a more realistic metric finds widespread usage, so that numbers for all systems in question are available, we may convert to that performance measure.

Requires iOS 4.0 or later. Compatible with iPad.


About LINPACK Benchmark

LINPACK Benchmark is a free app for iOS published in the System Maintenance list of apps, part of System Utilities.

The company that develops LINPACK Benchmark is University of Tennessee. The latest version released by its developer is 2.0.

To install LINPACK Benchmark on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2010-09-24 and was downloaded 70 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the LINPACK Benchmark as malware if the download link is broken.

How to install LINPACK Benchmark on your iOS device:

  • Click on the Continue To App button on our website. This will redirect you to the App Store.
  • Once the LINPACK Benchmark is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
  • If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
  • After LINPACK Benchmark is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
  • Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.



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Users Rating:  
  0.0/5     0
Downloads: 70
Updated At: 2024-04-22
Publisher: University of Tennessee
Operating System: Ios
License Type: Free