Szczegóły publikacji
Opis bibliograficzny
Parameter studies on heterogeneous computing infrastructures with the Scalarm platform / Dariusz KRÓL, Renata SŁOTA, Jacek KITOWSKI // W: HPCS 2016 [Dokument elektroniczny] : proceedings of the 2016 international conference on High Performance Computing & Simulation : July 18–22, 2016, Innsbruck, Austria / ed. Waleed W. Smari. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2016. — 1 dysk optyczny. — Dod. ISBN 978-1-5090-2088-1. — e-ISBN: 978-1-5090-2086-7. — S. 9–17. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 17, Abstr.
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 101322 |
|---|---|
| Data dodania do BaDAP | 2016-11-16 |
| DOI | 10.1109/HPCSim.2016.7568310 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | IEEE International Conference on High Performance Computing and Simulation 2016 |
Abstract
The main goal of this tutorial is to demonstrate the Scalarm platform as a tool supporting parameter studies on different computing infrastructures like clusters, grids and clouds. Parameter study (also called parameter sweep) is an approach where the same application is executed many times with different input parameter values. Afterwards, results from every execution are collected to identify trends or anomalies in the data that may lead to new insights. Despite their simplicity, parameter studies are commonly used in many fields of science, including computational fluid dynamics, particle physics, and discrete-event simulation. It is arguable the most popular way of scientific computing organization. © 2016 IEEE.
