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» Estimating Execution Time of Distributed Applications
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IPPS
2009
IEEE
14 years 4 months ago
Revisiting communication performance models for computational clusters
—In this paper, we analyze restrictions of traditional models affecting the accuracy of analytical prediction of the execution time of collective communication operations. In par...
Alexey L. Lastovetsky, Vladimir Rychkov, Maureen O...
CCGRID
2010
IEEE
13 years 11 months ago
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
Abstract--Reducing energy consumption for high end computing can bring various benefits such as, reduce operating costs, increase system reliability, and environment respect. This ...
Lizhe Wang, Gregor von Laszewski, Jai Dayal, Fugan...
CLUSTER
2009
IEEE
13 years 7 months ago
Coordinating the use of GPU and CPU for improving performance of compute intensive applications
GPUs have recently evolved into very fast parallel co-processors capable of executing general purpose computations extremely efficiently. At the same time, multi-core CPUs evolutio...
George Teodoro, Rafael Sachetto Oliveira, Olcay Se...
IPSN
2007
Springer
14 years 4 months ago
MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance
Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of i...
Stephan Hengstler, Daniel Prashanth, Sufen Fong, H...
IPPS
2009
IEEE
14 years 4 months ago
Power-aware load balancing of large scale MPI applications
Power consumption is a very important issue for HPC community, both at the level of one application or at the level of whole workload. Load imbalance of a MPI application can be e...
Maja Etinski, Julita Corbalán, Jesús...