Optimal network performance is critical to efficient parallel scaling for communication-bound applications on large machines. With wormhole routing, no-load latencies do not increa...
Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kal&ea...
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
In this paper we describe the design, implementation and experimental evaluation of a technique for operating system schedulers called processor pool-based scheduling [51]. Our tec...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Abstract. The trend towards cloud and utility computing infrastructures raises challenges not only for application development, but also for management: diverse resources, changing...