Dynamic object management for distributed data structuresIn distributed-memory multiprocessors, remote memory accesses incur larger delays than local accesses. Hence, insightful allocation and access of distributed data can yield substantial performance gains. The authors argue for the use of dynamic data management policies encapsulated within individual distributed data structures. Distributed data structures offer performance, flexibility, abstraction, and system independence. This approach is supported by data from a trace-driven simulation study of parallel scientific benchmarks. Experimental data on memory locality, message count, message volume, and communication delay suggest that data-structure-specific data management is superior to a single, system-imposed policy.
Document ID
19940034039
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Totty, Brian K. (NASA Langley Research Center Hampton, VA, United States)
Reed, Daniel A. (Illinois Univ. Urbana, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: Supercomputing '92; Proceedings of the Conference, Minneapolis, MN, Nov. 16-20, 1992 (A94-10682 01-62)