This paper examinestheimplicationsofgang schedulingfor generalpurpose multiprocessors. The workloads in these environments include both compute-bound parallel jobs, which often re...
Walter Lee, Matthew Frank, Victor Lee, Kenneth Mac...
The growing computational power requirements of grand challenge applications has promoted the need for linking highperformance computational resources distributed across multiple ...
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
Abstract. For the application of large-scale mobile agents in a distributed environment, where a large number of computers are connected together to enable the large-scale sharing ...