Abstract: Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing systems for ...

Cluster-based data-parallel frameworks such as MapReduce, Hadoop, and Dryad are increasingly popular for a large class of compute-intensive tasks. Although such systems are designed for large-scale ...

With the ever-increasing demand for more computing performance, the HPC industry is moving towards a heterogeneous computing model, where GPUs and CPUs work together to perform general-purpose ...

image: The European research project REPARA, which is nearing completion under the coordination of Universidad Carlos III de Madrid, has worked toward improving parallel computing applications for ...

Abstract: Static learning is a learning algorithm for finding additional implicit implications between gates in a netlist. In automatic test pattern generation (ATPG) the learned implications help ...

AUSTIN, TX--(Marketwired - December 17, 2015) - The Heterogeneous System Architecture (HSA) Foundation today announced publication of Heterogeneous System Architecture: A New Compute Platform ...

The Heterogeneous System Architecture (HSA) Foundation has released version 1.0 of the HSA specification, a move which it says brings the industry 'one step closer' to true heterogeneous computing on ...