Analyzing PICL trace data with MEDEA

Technical Report · Mon Nov 01 00:00:00 EST 1993

DOI:https://doi.org/10.2172/10112559· OSTI ID:10112559

Merlo, A P ^[1]; Worley, P H ^[2]

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1. Pavia Univ. (Italy). Dipt di Informatica e Sistemistica
2. Oak Ridge National Lab., TN (United States)

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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States); Consiglio Nazionale delle Ricerche, Rome (Italy); Ministero dell`Universita` e della Ricerca Scientifica e Tecnologica (Italy)
• DOE Contract Number: AC05-84OR21400
• OSTI ID: 10112559
• Report Number(s): ORNL/TM-12506; ON: DE94004788; CNN: Grant 92-01571-PF69
• Resource Relation: Other Information: PBD: Nov 1993
• Country of Publication: United States
• Language: English

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