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» Estimating Execution Time of Distributed Applications
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CCGRID
2005
IEEE
15 years 11 months ago
Empirical evaluation of shared parallel execution on independently scheduled clusters
Parallel machines are typically space shared, or time shared such that only one application executes on a group of nodes at any given time. It is generally assumed that executing ...
M. Ghanesh, S. Kumar, Jaspal Subhlok
IPPS
1999
IEEE
15 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
IPPS
2006
IEEE
15 years 12 months ago
Online strategies for high-performance power-aware thread execution on emerging multiprocessors
Granularity control is an effective means for trading power consumption with performance on dense shared memory multiprocessors, such as multi-SMT and multi-CMP systems. In this p...
Matthew Curtis-Maury, James Dzierwa, Christos D. A...
PPOPP
2006
ACM
15 years 12 months ago
A case study in top-down performance estimation for a large-scale parallel application
This work presents a general methodology for estimating the performance of an HPC workload when running on a future hardware architecture. Further, it demonstrates the methodology...
Ilya Sharapov, Robert Kroeger, Guy Delamarter, Raz...
CCGRID
2011
IEEE
14 years 9 months ago
Towards Real-Time, Volunteer Distributed Computing
Many large-scale distributed computing applications demand real-time responses by soft deadlines. To enable such real-time task distribution and execution on the volunteer resourc...
Sangho Yi, Emmanuel Jeannot, Derrick Kondo, David ...