Title :
High-performance mixed-machine heterogeneous computing
Author :
Maheswaran, Muthucumaru ; Braun, Tracy D. ; Siegel, Howard Jay
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
The focus of this invited keynote paper (to be presented by H.J. Siegel) is mixed-machine heterogeneous computing, where a suite of different kinds of high-performance machines are interconnected by high-speed links. Such a system can be orchestrated to perform an application whose subtasks have diverse execution requirements. Subtasks are assigned to and executed on the machines that will result in a minimal overall execution time for the task, considering factors including inter-machine communication overhead. A conceptual model of the automatic decomposition of tasks and assignment of subtasks is presented. Examples of static and dynamic approaches to the matching and scheduling of subtasks are summarized. Some open research problems are discussed
Keywords :
parallel processing; performance evaluation; processor scheduling; conceptual model; diverse execution requirements; high-performance machines; high-performance mixed-machine heterogeneous computing; inter-machine communication; scheduling; Application software; Computer architecture; Concurrent computing; Dynamic scheduling; Heuristic algorithms; Indium tin oxide; Laboratories; Parallel processing; Processor scheduling; Subcontracting;
Conference_Titel :
Parallel and Distributed Processing, 1998. PDP '98. Proceedings of the Sixth Euromicro Workshop on
Conference_Location :
Madrid
Print_ISBN :
0-8186-8332-5
DOI :
10.1109/EMPDP.1998.647172