Tools for High Performance Computing

Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart

By: Rainer Keller (Editor), Valentin Himmler (Editor), Bettina Krammer (Editor)

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Hardcover | 24 June 2008

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216 Pages

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23.5 x 15.24 x 1.27

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Developing software for current and especially for future architectures will require knowledge about parallel programming techniques of applications and library p- grammers. Multi-core processors are already available today, and processors with a dozen and more cores are on the horizon. The major driving force in hardware development, the game industry, has - ready shown interest in using parallel programming paradigms, such as OpenMP for further developments. Therefore developers have to be supported in the even more complex task of programming for these new architectures. HLRS has a long-lasting tradition of providing its user community with the most up-to-date software tools. Additionally, important research and development projects are worked on at the center: among the software packages developed are the MPI correctness checker Marmot, the OpenMP validation suite and the M- implementations PACX-MPI and Open MPI. All of these software packages are - ing extended in the context of German and European community research projects, such as ParMA, the InterActive European Grid (I2G) project and the German C- laborative Research Center (Sonderforschungsbereich 716). Furthermore, ind- trial collaborations, i.e. with Intel and Microsoft allow HLRS to get its software production-grade ready. In April 2007, a European project on Parallel Programming for Multi-core - chitectures, in short ParMA was launched, with a major focus on providing and developing tools for parallel programming.

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Non-Fiction Computing & I.T.Computer Programming & Software Development Software Engineering Computer Science Systems Analysis & Design Engineering & Technology Technology in General Engineering in General

Integrated Development Environments
Sun HPC ClusterTools 7+: A Binary Distribution of Open MPI	p. 3
Introduction	p. 3
History	p. 4
Sun-Driven features	p. 5
Sun Product Activity	p. 13
Pros and Cons	p. 15
Future work and conclusions	p. 16
References	p. 17
An Integrated Environment For the Development of Parallel Applications	p. 19
Introduction	p. 19
Challenges	p. 21
Architecture	p. 23
A Simple Case Study	p. 28
Future Directions	p. 31
Conclusion	p. 33
References	p. 34
Debugging MPI Programs on the Grid using g-Eclipse	p. 35
Introduction	p. 35
Related Work	p. 36
Overview of g-Eclipse Approach	p. 37
Remote Builder	p. 38
Grid Application Launchers	p. 39
Trace Viewer	p. 39
Conclusions and Future Work	p. 44
References	p. 44
Parallel Communication and Debugging
Enhanced Memory debugging of MPI-parallel Applications in Open MPI	p. 49
Introduction	p. 49
Overview of Memcheck	p. 50
Design and Implementation	p. 51
Performance Implications	p. 53
Detectable error classes and findings in actual applications	p. 57
Conclusion and future work	p. 59
References	p. 60
MPI Correctness Checking with Marmot	p. 61
Introduction	p. 62
Related Work	p. 62
Design of Marmot	p. 63
Collaboration with other tools	p. 70
Experiences with real Applications	p. 72
How to install and use Marmot	p. 75
Conclusion and Future Work	p. 76
References	p. 76
Memory Debugging in Parallel and Distributed Applications	p. 79
Introduction	p. 79
The Challenges of Memory Debugging in Parallel Development	p. 80
Classifying Memory Errors	p. 80
Detecting Memory Leaks	p. 82
The MemoryScape Debugger	p. 82
MemoryScape Architecture	p. 83
MemoryScape Features	p. 84
MemoryScape Usage Tips	p. 87
MemoryScape User Case Study: SIMULIA Uses MemoryScape to Find and Fix Bugs Quickly	p. 88
Future MemoryScape Product Plans	p. 90
Conclusion	p. 90
Performance Analysis Tools
Sequential Performance Analysis with Callgrind and KCachegrind	p. 93
Introduction	p. 93
Callgrind: a Call-Graph building Online Cache Simulator	p. 97
KCachegrind: Profile Visualization	p. 105
Usage Example	p. 110
Future Development	p. 111
References	p. 113
Improving Cache Utilization Using Acumem VPE	p. 115
Introduction	p. 116
Throughput Study of SPEC CPU 2006	p. 118
First Generation Performance Tools Based on Hardware Counters	p. 120
Enter: The New Performance Tool	p. 122
Utilization Study of the Worst SPEC CPU 2006 Applications	p. 126
Tuning Example: 179.art	p. 128
Tuning Example: Revisiting the Throughput Applications	p. 132
Conclusion	p. 134
References	p. 135
Parallel Performance Analysis Tools
The Vampir Performance Analysis Tool-Set	p. 139
Introduction	p. 139
Performance Analysis via Profiling or Tracing	p. 140
Instrumentation with VampirTrace	p. 141
Run-Time Measurement and Event Recording	p. 144
Trace Visualization with Vampir and VampirServer	p. 148
Related Work	p. 154
Conclusions and Future Work	p. 154
References	p. 155
Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications	p. 157
Introduction	p. 157
Overview	p. 158
Instrumentation and Measurement	p. 159
Trace Analysis	p. 162
Understanding Performance Behavior	p. 164
Outlook	p. 166
References	p. 167
Evolution of a Parallel Performance System	p. 169
Introduction	p. 169
TAU Performance System Design and Architecture	p. 170
TAU Instrumentation	p. 172
TAU Measurement	p. 178
TAU Analysis	p. 183
Conclusion and Future Work	p. 186
References	p. 188
Cray Performance Analysis Tools	p. 191
Introduction	p. 191
The Cray Performance Analysis Tools	p. 192
Conclusions and Future Work	p. 198
References	p. 199
Index	p. 201
Table of Contents provided by Ingram. All Rights Reserved.

Tools for High Performance Computing

Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart

At a Glance

Hardcover

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Defective items

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