Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
Given the large communication overheads characteristic of modern parallel machines, optimizations that eliminate, hide or parallelize communication may improve the performance of ...
We revisit and use the dependence transformation method to generate parallel algorithms suitable for cluster and grid computing. We illustrate this method in two applications: to o...
Ulisses Kendi Hayashida, Kunio Okuda, Jairo Panett...
The assumption of maximum parallelism support for the successful realization of scalable quantum computers has led to homogeneous, "sea-of-qubits" architectures. The res...
Darshan D. Thaker, Tzvetan S. Metodi, Andrew W. Cr...
The SpiNNaker project aims to develop parallel computer systems with more than a million embedded processors. The goal of the project is to support largescale simulations of syste...