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Working set size

Known as: WSS 
In computing, working set size is the amount of memory needed to compute the answer to a problem. In any computing scenario, but especially high… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Initially introduced as special-purpose accelerators for games and graphics code, graphics processing units (GPUs) have emerged… Expand
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2008
2008
  • A. Nair, L. John
  • IEEE International Conference on Computer Design
  • 2008
  • Corpus ID: 4001461
Increasing sizes of benchmarks make detailed simulation an extremely time consuming process. Statistical techniques such as the… Expand
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Highly Cited
2007
Highly Cited
2007
SPEC CPU2000 had a target memory footprint of 200 MB for the benchmarks [1], to enable the suite to run on machines with 256 MB… Expand
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2000
2000
Abstract Conventional implementations of iterative numerical algorithms, especially multigrid methods, merely reach a… Expand
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1998
1998
DESIGN AND IMPLEMENTATION OF THE UVM VIRTUAL MEMORY SYSTEM by Charles D. Cranor ADVISOR: Professor Gurudatta M. Parulkar 
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1997
1997
In this paper, we introduce new analytical models for predicting the performance of parallel applications under various cache… Expand
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Highly Cited
1988
Highly Cited
1988
Garbage collector performance in LISP systems on custom hardware has been substantially improved by the adoption of lifetime… Expand
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1987
1987
This paper presents a unified resource management and execution control mechanism for data flow machines. The mechanism… Expand
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Highly Cited
1982
Highly Cited
1982
The design of the buffer manager in a Relational Database Management System can significantly affect the overall performance of… Expand
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1975
1975
  • P. Bryant
  • IBM J. Res. Dev.
  • 1975
  • Corpus ID: 579105
Empirical analyses of data on working set size are reported. The data do not support the hypothesis that working set sizes are… Expand
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