An approach for finding the optimal configuration of heterogeneous computer systems to solve super computing problems is presented. Superconcurrency as a form of distributed heterogeneous supercomputing is an approach for matching and managing an optimally configured suite of super-speed machines to minimize the execution time on a given task. The approach performs best when the computational requirements for a given set of tasks are diverse. A supercomputing application task is decomposed into a collection of code segments, where the processing requirement is homogeneous in each code segment. The optimal selection theory has been proposed to choose the optimal configuration of machines for a supercomputing problem. This technique is based on code profiling and analytical benchmarking. Here, the previously presented optimal selection theory approach is augmented in two ways: the performance of code segments on non-optimal machine choices is incorporated and non-uniform decompositions of code segments are considered.
|Title of host publication||Proceedings - Workshop on Heterogeneous Processing, WHP 1992|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||10|
|ISBN (Electronic)||0818627026, 9780818627026|
|Publication status||Published - 1992|
|Event||1992 Workshop on Heterogeneous Processing, WHP 1992 - Beverly Hills, United States|
Duration: 1992 Mar 23 → …
|Name||Proceedings - Workshop on Heterogeneous Processing, WHP 1992|
|Conference||1992 Workshop on Heterogeneous Processing, WHP 1992|
|Period||92/3/23 → …|
Bibliographical noteFunding Information:
This research was supported by the Naval Ocean Systems Center under the High Performance Computing Block, ONT, and by the Office of Naval Research under grant number N00014-90-J-1937.
© 1992 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture