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COGSR
2011
97views more  COGSR 2011»
13 years 1 months ago
Sleep loss and driver performance: Quantitative predictions with zero free parameters
Fatigue has been implicated in an alarming number of motor vehicle accidents, costing billions of dollars and thousands of lives. Unfortunately, the ability to predict performance...
Glenn Gunzelmann, L. Richard Moore, Dario D. Salvu...
ICSE
2012
IEEE-ACM
11 years 8 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
IPPS
1999
IEEE
13 years 10 months ago
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
On many computers, a request to run a job is not serviced immediately but instead is placed in a queue and serviced only when resources are released by preceding jobs. In this pape...
Warren Smith, Valerie E. Taylor, Ian T. Foster
OOPSLA
2005
Springer
13 years 11 months ago
Fortune teller: improving garbage collection performance in server environment using live objects prediction
Currently, the most adopted criterion to invoke garbage collection is heap space exhaustion. In other words, garbage collection is invoked when the heap space (either the entire s...
Feng Xian, Witawas Srisa-an, Hong Jiang
PLDI
1995
ACM
13 years 9 months ago
Improving Balanced Scheduling with Compiler Optimizations that Increase Instruction-Level Parallelism
Traditional list schedulers order instructions based on an optimistic estimate of the load latency imposed by the hardware and therefore cannot respond to variations in memory lat...
Jack L. Lo, Susan J. Eggers