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CCGRID
2009
IEEE
14 years 3 months ago
Performance Issues in Parallelizing Data-Intensive Applications on a Multi-core Cluster
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
Vignesh T. Ravi, Gagan Agrawal
VEE
2006
ACM
116views Virtualization» more  VEE 2006»
14 years 2 months ago
Relative factors in performance analysis of Java virtual machines
Many new Java runtime optimizations report relatively small, single-digit performance improvements. On modern virtual and actual hardware, however, the performance impact of an op...
Dayong Gu, Clark Verbrugge, Etienne M. Gagnon
IOR
2006
75views more  IOR 2006»
13 years 8 months ago
Sensitivity of Performance in the Erlang-A Queueing Model to Changes in the Model Parameters
This paper studies the M/M/s+M queue, i.e., the M/M/s queue with customer abandonment, also called the Erlang-A model, having independent and identically distributed customer aban...
Ward Whitt
CHI
2008
ACM
14 years 9 months ago
Increasing the utility of quantitative empirical studies for meta-analysis
Despite the long history and consistent use of quantitative empirical methods to evaluate information visualization techniques and systems, our understanding of interface use rema...
Heidi Lam, Tamara Munzner
CONCURRENCY
2010
95views more  CONCURRENCY 2010»
13 years 7 months ago
The Scalasca performance toolset architecture
SCALASCA is a performance toolset that has been specifically designed to analyze parallel application execution behavior on large-scale systems. It offers an incremental performan...
Markus Geimer, Felix Wolf, Brian J. N. Wylie, Erik...