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» Measuring empirical computational complexity
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COMPSAC
2005
IEEE
15 years 10 months ago
Using AOP to Monitor and Administer Software for Grid Computing Environments
Monitoring is a task of collecting measurements that reflect the state of a system. Administration is a collection of tasks for control and manipulation of computer systems. Monito...
Mark Grechanik, Dewayne E. Perry, Don S. Batory
SC
2005
ACM
15 years 10 months ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
SISAP
2010
IEEE
243views Data Mining» more  SISAP 2010»
15 years 2 months ago
Similarity matrix compression for efficient signature quadratic form distance computation
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
RTCSA
2000
IEEE
15 years 8 months ago
Scheduling optional computations in fault-tolerant real-time systems
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...
Pedro Mejía-Alvarez, Hakan Aydin, Daniel Mo...
PC
2002
189views Management» more  PC 2002»
15 years 4 months ago
Data management and transfer in high-performance computational grid environments
An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or compu...
William E. Allcock, Joseph Bester, John Bresnahan,...