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» Parallel Application Signature for Performance Prediction
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ISPASS
2007
IEEE
15 years 4 months ago
Accelerating Full-System Simulation through Characterizing and Predicting Operating System Performance
The ongoing trend of increasing computer hardware and software complexity has resulted in the increase in complexity and overheads of cycle-accurate processor system simulation, e...
Seongbeom Kim, Fang Liu, Yan Solihin, Ravi R. Iyer...
JSSPP
2005
Springer
15 years 3 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan
IPPS
1999
IEEE
15 years 2 months ago
Condition-Based Maintenance: Algorithms and Applications for Embedded High Performance Computing
Condition based maintenance (CBM) seeks to generate a design for a new ship wide CMB system that performs diagnoses and failure prediction on Navy shipboard machinery. Eventually, ...
Bonnie Holte Bennett, George D. Hadden
IPPS
2003
IEEE
15 years 3 months ago
Modeling Parallel Applications Performance on Heterogeneous Systems
The current technologies have made it possible to execute parallel applications across heterogeneous platforms. However, the performance models available do not provide adequate m...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...
CLUSTER
2003
IEEE
15 years 3 months ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf