A new heterogeneous multiprocessor system with dynamic memory and power management for improved performance and power consumption is presented. Increased data locality is automatic...
This paper presents a hybrid approach to automatic parallelization of computer programs which combines static extraction of threads (tasks) with dynamic scheduling for parallel an...
Ronald Moore, Melanie Klang, Bernd Klauer, Klaus W...
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...
Abstract. OpenMP has evolved recently towards expressing unstructured parallelism, targeting the parallelization of a broader range of applications in the current multicore era. Ho...
Task Scheduling is a critical design issue of distributed computing. The emerging Grid computing infrastructure consists of heterogeneous resources in widely distributed autonomous...