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

:	Michael Resch, Rainer Keller, Valentin Himmler, Bett
:	Rainer Keller, Valentin Himmler, Bettina Krammer, Alexander Schulz
:	Tools for High Performance Computing Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart
:	Springer-Verlag
:	9783540685647
:	1
:	CHF 47.40
:

:	Informatik
:	English

:	202
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

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.

	Preface	5
	Contents	7
	List of Contributors	11
	I Integrated Development Environments	12
	Sun HPC ClusterTools 7+: A Binary Distribution of Open MPI	13
	Introduction	13
	History	14
	Sun-Driven features	15
	Sun Product Activity	23
	Pros and Cons	25
	Future work and conclusions	26
	References	27
	An Integrated Environment For the Development of Parallel Applications	29
	Introduction	29
	Challenges	31
	Architecture	33
	A Simple Case Study	38
	Future Directions	41
	Conclusion	43
	References	44
	Debugging MPI Programs on the Grid using g-Eclipse	45
	Introduction	45
	Related Work	46
	Overview of g-Eclipse Approach	47
	Remote Builder	48
	Grid Application Launchers	49
	Trace Viewer	49
	Conclusions and Future Work	54
	References	54
	II Parallel Communication and Debugging	56
	Enhanced Memory debugging of MPI-parallel Applications in Open MPI	57
	Introduction	57
	Overview of Memcheck	58
	Design and Implementation	59
	Performance Implications	61
	Detectable error classes and findings in actual applications	65
	Conclusion and future work	67
	References	68
	MPI Correctness Checking with Marmot	69
	Introduction	70
	Related Work	70
	Design of Marmot	71
	Collaboration with other tools	78
	Experiences with real Applications	80
	How to install and use Marmot	83
	Conclusion and Future Work	84
	References	84
	Memory Debugging in Parallel and Distributed Applications	87
	Introduction	87
	The Challenges of Memory Debugging in Parallel Development	88
	Classifying Memory Errors	88
	Detecting Memory Leaks	90
	The MemoryScape Debugger	90
	MemoryScape Architecture	91
	MemoryScape Features	92
	MemoryScape Usage Tips	95
	MemoryScape User Case Study: SIMULIA Uses MemoryScape to Find and Fix Bugs Quickly	96
	Future MemoryScape Product Plans	98
	Conclusion	98
	III Performance Analysis Tools	99
	Sequential Performance Analysis with Callgrind and KCachegrind	100
	Introduction	100
	Callgrind: a Call-Graph building Online Cache Simulator	104
	KCachegrind: Profile Visualization	112
	Usage Example	117
	Future Development	118
	References	120
	Improving Cache Utilization Using Acumem VPE	121
	Introduction	122
	Throughput Study of SPEC CPU 2006	124
	First Generation Performance Tools Based on Hardware Counters	126
	Enter: The New Performance Tool	128
	Utilization Study of the Worst SPEC CPU 2006 Applications	132
	Tuning Example: 179.art	134
	Tuning Example: Revisiting the Throughput Applications	138
	Conclusion	140
	References	141
	Parallel Performance Analysis Tools	141
	The Vampir Performance Analysis Tool-Set	143
	Introduction	143
	Performance Analysis via Profiling or Tracing	144
	Instrumentation with VampirTrace	145
	Run-Time Measurement and Event Recording	148
	Trace Visualization with Vampir and VampirServer	152
	Related Work	158
	Conclusions and Future Work	158
	References	159
	Usage of the SCALASCA toolset for scalable performance analysis of large-scale parallel applications	160
	Introduction	160
	Overview	161
	Instrumentation and Measurement	162
	Trace Analysis	165
	Understanding Performance Behavior	167
	Outlook	169
	References	170
	Evolution of a Parallel Performance System	171
	Introduction	171
	TAU Performance System Design and Architecture	172
	TAU Instrumentation	174
	TAU Measurement	180
	TAU Analysis	185
	Conclusion and Future Work	188
	References	190
	Cray Performance Analysis Tools	193
	Introduction	193
	The Cray Performance Analysis Tools	194
	Conclusions and Future Work	200
	References	201
	Index	202