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» Estimating Execution Time of Distributed Applications
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CCGRID
2005
IEEE
14 years 3 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
14 years 2 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
14 years 3 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
14 years 3 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
13 years 1 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 ...