μProfiler: Profiling User-Level Threads in a Shared-Memory Programming Environment


Buhr, Peter A. ; Denda, Robert



URL: http://dx.doi.org/10.1007/3-540-49372-7_16
Additional URL: http://www.researchgate.net/publication/226615157_...
Document Type: Conference or workshop publication
Year of publication: 1998
Book title: Computing in object-oriented parallel environments : second International Symposium, ISCOPE 98, Santa Fe, NM, December 8 - 11, 1998; proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 1505
Page range: 159-166
Publisher: Caromel, Denis
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 3-540-65387-2
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
Abstract: A profiler is an important tool for understanding the dynamic behaviour of concurrent programs to locate problems and optimize performance. The best way to improve profiling capabilities and reduce the time to analyze a concurrent program is to use a target-specific profiler that understands the underlying concurrent runtime environment. A profiler for understanding execution of user and kernel level threads is presented, which is target specific for the uC++ concurrency system. This allows the insertion of hooks into the uC++ data structures and runtime kernel to ensure crucial operations are monitored exactly. Because the profiler is written in uC++ and has an extendible design, it is easy for uses to write new metrics and incorporate them into the profiler.</




Dieser Eintrag ist Teil der Universitätsbibliographie.




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