Tools for scalable parallel program analysis -: Vampir NG and Dewiz

被引：0

作者：

Brunst, H ^{[1
]}

Kranzlmüller, D ^{[1
]}

Nagel, WE ^{[1
]}

机构：

[1] Dresden Univ Technol, Ctr High Performance Comp, D-8027 Dresden, Germany

来源：

DISTRIBUTED AND PARALLEL SYSTEMS: CLUSTER AND GRID COMPUTING | 2005年 / 777卷

关键词：

scalability; program analysis; performance tuning; debugging; tracing;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Large scale high-performance computing systems pose a tough obstacle for todays program analysis tools. Their demands in computational performance and memory capacity for processing program analysis data exceed the capabilities of standard workstations and traditional analysis tools. The sophisticated approaches of Vampir NG (VNG) and the Debugging Wizard DeWiz intend to provide novel ideas for scalable parallel program analysis. While VNG exploits the power of cluster architectures for near real-time performance analysis, DeWiz utilizes distributed computing infrastructures for distinct analysis activities. A comparison of these two complimentary approaches delivers some promising ideas for future solutions in the area of parallel and distributed program analysis.

引用

页码：93 / 102

页数：10

共 17 条

[1]

BROWNE S, 1999, REV PERFORMANCE ANAL

[2]

Brunst H, 2003, IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING, PROCEEDINGS, P73

[3]

BRUNST H, 2001, LNCS, V2074

[4]

de Kergommeaux JC, 2000, LECT NOTES COMPUT SC, V1900, P133

[5]

Foster I, 1999, GRID BLUEPRINT NEW C

[6]

GU WM, 1994, SIGPLAN NOTICES, V29, P140, DOI 10.1145/185009.185038

[7] VISUALIZING THE PERFORMANCE OF PARALLEL PROGRAMS [J].

HEATH, MT ;

ETHERIDGE, JA .

IEEE SOFTWARE, 1991, 8 (05) :29-39

[8]

HEATH MT, 1994, PARAGRAPH TOOL VISUA

[9]

HONDROUDAKIS A, 1995, PERFORMANCE ANAL TOO

[10]

KACSUK P, 1997, DISTRIBUTED PARALLEL, V22, P1699

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