Knowledge-based automatic performance analysis of parallel programs

Antonio Espinosa; Tomàs Margalef; Emilio Luque

doi:10.1016/S0927-5452(98)80091-9

Knowledge-based automatic performance analysis of parallel programs

Antonio Espinosa, Tomàs Margalef, Emilio Luque

Research output: Chapter in Book › Chapter › Research › peer-review

Abstract

This chapter describes the knowledge-based automatic performance analysis of parallel programs with Knowledge based Automatic Parallel Program Analyzer for Performance Improvement (KAPPA-PI). The actual behavior of parallel programs is of capital importance for the development of an application. The KAPPA-PI is a performance automatic analyzer. This automatic tool analyzes the inactivity intervals found in the trace files. The KAPPA-PI tool uses a monitoring approach to analyze the performance of a program. It analyses a trace file obtained directly from the execution of the application. This means that the analysis is carried out on the low level events of the trace file. The tool, consulting the actual source files of the application, builds a series of explanations of the causes of the main problems found. The tool bases the feedback to the user in the names and structures of the application; that is to say, the programmer's view of the application. © 1998 Elsevier B.V.

Original language	English
Title of host publication	Advances in Parallel Computing
Pages	697-700
Number of pages	3
Volume	12
DOIs	https://doi.org/10.1016/S0927-5452(98)80091-9
Publication status	Published - 1 Jan 1998

Access to Document

10.1016/S0927-5452(98)80091-9

Fingerprint Dive into the research topics of 'Knowledge-based automatic performance analysis of parallel programs'. Together they form a unique fingerprint.

Cite this

@inbook{fb60ec95952f444bbfefb2ef08967374,

title = "Knowledge-based automatic performance analysis of parallel programs",

abstract = "This chapter describes the knowledge-based automatic performance analysis of parallel programs with Knowledge based Automatic Parallel Program Analyzer for Performance Improvement (KAPPA-PI). The actual behavior of parallel programs is of capital importance for the development of an application. The KAPPA-PI is a performance automatic analyzer. This automatic tool analyzes the inactivity intervals found in the trace files. The KAPPA-PI tool uses a monitoring approach to analyze the performance of a program. It analyses a trace file obtained directly from the execution of the application. This means that the analysis is carried out on the low level events of the trace file. The tool, consulting the actual source files of the application, builds a series of explanations of the causes of the main problems found. The tool bases the feedback to the user in the names and structures of the application; that is to say, the programmer's view of the application. {\textcopyright} 1998 Elsevier B.V.",

author = "Antonio Espinosa and Tom{\`a}s Margalef and Emilio Luque",

year = "1998",

month = jan,

day = "1",

doi = "10.1016/S0927-5452(98)80091-9",

language = "English",

isbn = "0927-5452",

volume = "12",

pages = "697--700",

booktitle = "Advances in Parallel Computing",

}

TY - CHAP

T1 - Knowledge-based automatic performance analysis of parallel programs

AU - Espinosa, Antonio

AU - Margalef, Tomàs

AU - Luque, Emilio

PY - 1998/1/1

Y1 - 1998/1/1

N2 - This chapter describes the knowledge-based automatic performance analysis of parallel programs with Knowledge based Automatic Parallel Program Analyzer for Performance Improvement (KAPPA-PI). The actual behavior of parallel programs is of capital importance for the development of an application. The KAPPA-PI is a performance automatic analyzer. This automatic tool analyzes the inactivity intervals found in the trace files. The KAPPA-PI tool uses a monitoring approach to analyze the performance of a program. It analyses a trace file obtained directly from the execution of the application. This means that the analysis is carried out on the low level events of the trace file. The tool, consulting the actual source files of the application, builds a series of explanations of the causes of the main problems found. The tool bases the feedback to the user in the names and structures of the application; that is to say, the programmer's view of the application. © 1998 Elsevier B.V.

AB - This chapter describes the knowledge-based automatic performance analysis of parallel programs with Knowledge based Automatic Parallel Program Analyzer for Performance Improvement (KAPPA-PI). The actual behavior of parallel programs is of capital importance for the development of an application. The KAPPA-PI is a performance automatic analyzer. This automatic tool analyzes the inactivity intervals found in the trace files. The KAPPA-PI tool uses a monitoring approach to analyze the performance of a program. It analyses a trace file obtained directly from the execution of the application. This means that the analysis is carried out on the low level events of the trace file. The tool, consulting the actual source files of the application, builds a series of explanations of the causes of the main problems found. The tool bases the feedback to the user in the names and structures of the application; that is to say, the programmer's view of the application. © 1998 Elsevier B.V.

U2 - 10.1016/S0927-5452(98)80091-9

DO - 10.1016/S0927-5452(98)80091-9

M3 - Chapter

SN - 0927-5452

VL - 12

SP - 697

EP - 700

BT - Advances in Parallel Computing

ER -