The implementation of the Cilk-5 multithreaded language
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
CellSs: a programming model for the cell BE architecture
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
International Journal of Parallel Programming
ACM SIGARCH Computer Architecture News
Hierarchical Task-Based Programming With StarSs
International Journal of High Performance Computing Applications
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
StarPU: a unified platform for task scheduling on heterogeneous multicore architectures
Concurrency and Computation: Practice & Experience - Euro-Par 2009
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Computer architecture technology is moving towards more heterogeneous solutions, which will contain a number of processing units with different capabilities that may increase the performance of the system as a whole. However, with increased performance comes increased complexity; complexity that is now barely handled in homogeneous multiprocessing systems. The present study tries to solve a small piece of the heterogeneous puzzle; how can we exploit all system resources in a performance-effective and user-friendly way? Our proposed solution includes a run-time system capable of using a variety of different heterogeneous components while providing the user with the already familiar task-centric programming model interface. Furthermore, when dealing with non-uniform workloads, we show that traditional approaches based on centralized or work-stealing queue algorithms do not work well and propose a scheduling algorithm based on trend analysis to distribute work in a performance-effective way across resources.