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PERCOM
2007
ACM
16 years 3 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
IPPS
2000
IEEE
15 years 8 months ago
Enhancing NWS for Use in an SNMP Managed Internetwork
The Network Weather Service NWS is a distributed resource monitoring and utilization prediction system, employed as an aid to scheduling jobs in a metacomputing environment 9, 1...
Robert E. Busby Jr., Mitchell L. Neilsen, Daniel A...
IPPS
2006
IEEE
15 years 10 months ago
A framework to develop symbolic performance models of parallel applications
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the trem...
Sadaf R. Alam, Jeffrey S. Vetter
158
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PVG
2003
IEEE
138views Visualization» more  PVG 2003»
15 years 9 months ago
Sort-First, Distributed Memory Parallel Visualization and Rendering
While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpos...
E. Wes Bethel, Greg Humphreys, Brian E. Paul, J. D...
PDCAT
2007
Springer
15 years 10 months ago
A Distributed Virtual Machine for Parallel Graph Reduction
We present the architecture of nreduce, a distributed virtual machine which uses parallel graph reduction to run programs across a set of computers. It executes code written in a ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...