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03354nam a22005415i 4500 |
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978-3-642-11261-4 |
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DE-He213 |
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20151204162651.0 |
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cr nn 008mamaa |
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100528s2010 gw | s |||| 0|eng d |
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|a 9783642112614
|9 978-3-642-11261-4
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|a 10.1007/978-3-642-11261-4
|2 doi
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|d GrThAP
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|a QA75.5-76.95
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|a UY
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|a COM014000
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|a COM031000
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|a 004.0151
|2 23
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|a Tools for High Performance Computing 2009
|h [electronic resource] :
|b Proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing, September 2009, ZIH, Dresden /
|c edited by Matthias S. Müller, Michael M. Resch, Alexander Schulz, Wolfgang E. Nagel.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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| 300 |
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|a XIV, 184 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a PERISCOPE: An Online-Based Distributed Performance Analysis Tool -- Comprehensive Performance Tracking with Vampir 7 -- Performance Analysis and Workload Characterization with IPM -- Recent Developments in the Scalasca Toolset -- MUST: A Scalable Approach to Runtime Error Detection in MPI Programs -- HPC Profiling with the Sun Studio™ Performance Tools -- Performance Tuning of x86 OpenMP Codes with MAQAO -- Scalable Parallel Debugging with g-Eclipse -- New Analysis Techniques in the CEPBA-Tools Environment -- The Importance of Run-Time Error Detection -- Collecting Performance Data with PAPI-C -- ISP Tool Update: Scalable MPI Verification.
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|a As more and more hardware platforms support parallelism, parallel programming is gaining momentum. Applications can only leverage the performance of multi-core processors or graphics processing units if they are able to split a problem into smaller ones that can be solved in parallel. The challenges emerging from the development of parallel applications have led to the development of a great number of tools for debugging, performance analysis and other tasks. The proceedings of the 3rd International Workshop on Parallel Tools for High Performance Computing provide a technical overview in order to help engineers, developers and computer scientists decide which tools are best suited to enhancing their current development processes.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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0 |
|a Architecture, Computer.
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| 650 |
|
0 |
|a Software engineering.
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| 650 |
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0 |
|a Computers.
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| 650 |
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0 |
|a Complexity, Computational.
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| 650 |
1 |
4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Theory of Computation.
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| 650 |
2 |
4 |
|a Software Engineering/Programming and Operating Systems.
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| 650 |
2 |
4 |
|a Computer System Implementation.
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| 650 |
2 |
4 |
|a Complexity.
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| 700 |
1 |
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|a Müller, Matthias S.
|e editor.
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| 700 |
1 |
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|a Resch, Michael M.
|e editor.
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| 700 |
1 |
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|a Schulz, Alexander.
|e editor.
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| 700 |
1 |
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|a Nagel, Wolfgang E.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642112607
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-11261-4
|z Full Text via HEAL-Link
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| 912 |
|
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
|
