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Due to the fall in the price of multicore processors, today's non-dedicated clusters tend to include this kind of hardware in their configurations. How general purpose Operating System (OS) schedulers will support requirements like the coexistence of soft-real time, best effort or interactive applications are open questions that need to be addressed carefully. For these reasons, new user interfaces,...
The shift to multicore processors demands efficient parallel programming on a diversity of architectures, including homogeneous and heterogeneous chip multiprocessors (CMPs). Task parallel programming is one approach that maps well to CMPs. In this model, the programmer focuses on identifying parallel tasks within an application, while a runtime system takes care of managing, scheduling, and balancing...
The possibility of connecting several nodes in a network of processors has popularized parallel programming in the scientific community, but its use has been limited by the difficulty of message-passing programming. With the arrival of multicore processors, parallel programming has regained popularity. The use of an OpenMP compiler optimized for the multicore system in question is a good option, but...
Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore Processors (HCoMs). These strategies are called Heterogeneous Process Distribution Strategy (HPS) and Heterogeneous Data Distribution Strategy (HDS). They are not novel and have been researched thoroughly. However, the advent...
This paper proposes a strategy to organize metric-space query processing in multi-core search nodes as understood in the context of search engines running on clusters of computers. The strategy is applied in each search node to process all active queries visiting the node as part of their solution which, in general, for each query is computed from the contribution of each search node. When query traffic...
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