DocumentCode :
3287522
Title :
METRICS: a tool for the display and analysis of mappings in message-passing multicomputers
Author :
Lo, Virginia M. ; Windisch, Kurt ; Datta, Rajen
Author_Institution :
Dept. of Comput. & Inf. Sci., Oregon Univ., Eugene, OR, USA
fYear :
1992
fDate :
26-29 Apr 1992
Firstpage :
195
Lastpage :
199
Abstract :
METRICS is a software tool for the static (compile time) analysis of mappings. METRICS is designed for use in the mapping of parallel computations consisting of a set of communicating parallel processes which communicate through explicit message passing. The target architectures currently supported include the mesh and hypercube as well as user-defined topologies. The underlying routing schemes include store-and-forward, virtual cut-through, and wormhole routing. METRICS is designed to display the mapping in a clear, logical, and intuitive format so that the user can evaluate it quantitatively as well as visually. The contributions of METRICS include its rich underlying formalism, the temporal communication graph, a hybrid between the static task graph and the DAG; its mechanisms for handling massive parallelism using subviews, scrolling, and hierarchical grouping; and the broad spectrum of mapping metrics used in the analysis of each mapping
Keywords :
graph theory; message passing; network routing; software tools; METRICS; communicating parallel processes; directed acyclic graph; display; hierarchical grouping; hypercube; mappings; massive parallelism; mesh architecture; message-passing multicomputers; parallel computations; routing schemes; scrolling; software tool; static analysis; static task graph; store-and-forward; subviews; temporal communication graph; user-defined topologies; virtual cut-through; wormhole routing; Algorithm design and analysis; Computer displays; Concurrent computing; Information analysis; Information science; Parallel programming; Performance analysis; Programming environments; Routing; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-8186-2775-1
Type :
conf
DOI :
10.1109/SHPCC.1992.232647
Filename :
232647
Link To Document :
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