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Title: Analyzing PICL trace data with MEDEA

Execution traces and performance statistics can be collected for parallel applications on a variety of multiprocessor platforms by using the Portable Instrumented Communication Library (PICL). The static and dynamic performance characteristics of performance data can be analyzed easily and effectively with the facilities provided within the MEasurements Description Evaluation and Analysis tool (MEDEA). This report describes the integration of the PICL trace file format into MEDEA. A case study is then outlined that uses PICL and MEDEA to characterize the performance of a parallel benchmark code executed on different hardware platforms and using different parallel algorithms and communication protocols.
Authors:
 [1] ;  [2]
  1. Pavia Univ. (Italy). Dipt di Informatica e Sistemistica
  2. Oak Ridge National Lab., TN (United States)
Publication Date:
OSTI Identifier:
10112559
Report Number(s):
ORNL/TM--12506
ON: DE94004788; CNN: Grant 92-01571-PF69
DOE Contract Number:
AC05-84OR21400
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Nov 1993
Research Org:
Oak Ridge National Lab., TN (United States)
Sponsoring Org:
USDOE, Washington, DC (United States);Consiglio Nazionale delle Ricerche, Rome (Italy);Ministero dell`Universita` e della Ricerca Scientifica e Tecnologica (Italy)
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; PARALLEL PROCESSING; PERFORMANCE; M CODES; BENCHMARKS; EVALUATION; DATA BASE MANAGEMENT; P CODES 990200; 990300; MATHEMATICS AND COMPUTERS; INFORMATION HANDLING