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» Scheduling Issues in Optimistic Parallelization
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NCA
2006
IEEE
15 years 3 months ago
Parallelization of Geant4 Using TOP-C and Marshalgen
Geant4 is a very large, highly accurate toolkit for Monte Carlo simulation of particle-matter interaction. It has been applied to high-energy physics, cosmic ray modeling, radiati...
Gene Cooperman, Viet Ha Nguyen, Igor Malioutov
TPDS
2008
106views more  TPDS 2008»
14 years 9 months ago
Security-Aware Resource Allocation for Real-Time Parallel Jobs on Homogeneous and Heterogeneous Clusters
Security is increasingly becoming an important issue in the design of real-time parallel applications, which are widely used in the industry and academic organizations. However, ex...
Tao Xie 0004, Xiao Qin
EUROPAR
2010
Springer
14 years 9 months ago
Multi-GPU and Multi-CPU Parallelization for Interactive Physics Simulations
Today, it is possible to associate multiple CPUs and multiple GPUs in a single shared memory architecture. Using these resources efficiently in a seamless way is a challenging issu...
Everton Hermann, Bruno Raffin, François Fau...
ECAI
2004
Springer
15 years 3 months ago
IPSS: A Hybrid Reasoner for Planning and Scheduling
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions...
María Dolores Rodríguez-Moreno, Ange...
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AINA
2010
IEEE
14 years 9 months ago
Schedule Distributed Virtual Machines in a Service Oriented Environment
—Virtual machines offer unique advantages to the scientific computing community, such as Quality of Service(QoS) guarantee, performance isolation, easy resource management, and ...
Lizhe Wang, Gregor von Laszewski, Marcel Kunze, Ji...