A Case Study in Metacomputing: Distributed Simulations of Mixing in Turbulent Convection

Autor: K. Chin-Purcell, A.V. Malevsky, A.E. Klietzt
Rok vydání: 2005
Předmět:
Zdroj: Proceedings. Workshop on Heterogeneous Processing.
DOI: 10.1109/whp.1993.664373
Popis: Recent trends towards real-time visualization of large, 3-0 datasets have created extraordinary demands on CPU, memory, and 1/0 resources. In this paper we describe how a metacomputing environment was used to perform a volumetric analysis of mixing in thermal convection. This application was judged the “Best of the Best” in the Heterogeneous Computing Challenge competition held at Supercomputing ’92. In this paper we show how the winning application was designed and implemented. We conclude with a discussion of some future issues that researchers and vendors need to address in order to provide better environments for large heterogeneous HPC applications.
Databáze: OpenAIRE