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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 characteristics of performance data can be analyzed easily and effectively with the facilities provided within the MEasurements Description Evaluation and Analysis tool (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. Informatica e Sistemistica
  2. Oak Ridge National Lab., TN (United States)
Publication Date:
OSTI Identifier:
10137707
Report Number(s):
CONF-9405115--1
ON: DE94009173
DOE Contract Number:
AC05-84OR21400
Resource Type:
Conference
Resource Relation:
Conference: 7. international conference on modeling techniques and tools for computer performance evaluation,Vienna (Austria),4-6 May 1994; Other Information: PBD: [1994]
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; M CODES; BENCHMARKS; COMPUTERS; DATA PROCESSING; COMPUTER CALCULATIONS; ALGORITHMS 990200; MATHEMATICS AND COMPUTERS