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122
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ICML
1997
IEEE
16 years 3 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
132
Voted
HIPC
2009
Springer
14 years 12 months ago
Continuous performance monitoring for large-scale parallel applications
Traditional performance analysis techniques are performed after a parallel program has completed. In this paper, we describe an online method for continuously monitoring the perfor...
Isaac Dooley, Chee Wai Lee, Laxmikant V. Kal&eacut...
132
Voted
PVM
2005
Springer
15 years 7 months ago
A Scalable Approach to MPI Application Performance Analysis
A scalable approach to performance analysis of MPI applications is presented that includes automated source code instrumentation, low overhead generation of profile and trace data...
Shirley Moore, Felix Wolf, Jack Dongarra, Sameer S...
123
Voted
HPCC
2010
Springer
15 years 22 days ago
Performance Analysis of Scientific and Engineering Applications Using MPInside and TAU
In this paper, we present performance analysis of two NASA applications using performance tools like Tuning and Analysis Utilities (TAU) and SGI MPInside. MITgcmUV and OVERFLOW ar...
Subhash Saini, Piyush Mehrotra, Kenichi Taylor, Sa...
125
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IPPS
2005
IEEE
15 years 7 months ago
Stream PRAM
Parallel random access memory, or PRAM, is a now venerable model of parallel computation that that still retains its usefulness for the design and analysis of parallel algorithms....
Darrell R. Ulm, Michael Scherger