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PDPTA
2010
15 years 16 days ago
Collecting Sensor Data for High-Performance Computing: A Case-study
- Many research questions remain open with regard to improving reliability in exascale systems. Among others, statistics-based analysis has been used to find anomalies, to isolate ...
Line C. Pouchard, Jonathan D. Dobson, Stephen W. P...
105
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CUZA
2002
63views more  CUZA 2002»
15 years 2 months ago
Parallel Extension of a Dynamic Performance Forecasting Tool
This paper presents an extension of a performance evaluation library called Fast to handle parallel routines. Fast is a dynamic performance forecasting tool in a grid environment. ...
Eddy Caron, Frédéric Suter
119
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GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 8 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
MICRO
2003
IEEE
152views Hardware» more  MICRO 2003»
15 years 8 months ago
A Systematic Methodology to Compute the Architectural Vulnerability Factors for a High-Performance Microprocessor
Single-event upsets from particle strikes have become a key challenge in microprocessor design. Techniques to deal with these transient faults exist, but come at a cost. Designers...
Shubhendu S. Mukherjee, Christopher T. Weaver, Joe...
133
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WECWIS
1999
IEEE
102views ECommerce» more  WECWIS 1999»
15 years 7 months ago
Monitoring and Prediction of Network Performance
Analysis of network and application pegormance is traditionally based on mathematical models derived from first principles. Such models are usually complex, diflcult to use, and d...
Bjorn Frogner, Alexander B. Cannara