A callgraph-based search strategy for automated performance diagnosis-Reference-Cited by-同舟云学术

A callgraph-based search strategy for automated performance diagnosis

Published:2002 Issue:3 Volume:14 Page:203-217
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Cain Harold W.,Miller Barton P.,Wylie Brian J. N.

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference11 articles.

1. Dynamic control of performance monitoring on large scale parallel systems. Proceedings of the 7th International Conference on Supercomputing, Tokyo, Japan, July 1993. ACM Press, 1993.

2. The Paradyn parallel performance measurement tool

3. A rule-based approach for automatic bottleneck detection in programs on shared virtual memory systems. Proceedings 2nd International Workshop on High-Level Programming Models and Supportive Environments, Genéve, Switzerland, April 1997. IEEE Computer Society Press, 1997.

4. ATExpert

5. FINESSE: A prototype feedback-guided performance enhancement system. Proceedings 8th Euromicro Workshop on Parallel and Distributed Processing, Rhodos, Greece, January 2000. IEEE Computer Society Press, 2000.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance feature identification by comparative trace analysis;Future Generation Computer Systems;2006-02

2. PerWiz: A What-If Prediction Tool for Tuning Message Passing Programs;High Performance Computing for Computational Science - VECPAR 2004;2005

3. A Loop-Aware Search Strategy for Automated Performance Analysis;High Performance Computing and Communications;2005

4. Identification of Performance Characteristics from Multi-view Trace Analysis;Lecture Notes in Computer Science;2003

5. Integrated Runtime Measurement Summarisation and Selective Event Tracing for Scalable Parallel Execution Performance Diagnosis;Applied Parallel Computing. State of the Art in Scientific Computing