: In order to meet their temporal constraints, current applications such as Web-based services and electronic commerce use the technique of data replication. To take the replicatio...
Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
Applications often involve iterative execution of identical or slowly evolving calculations. Such applications require incremental rebalancing to improve load balance across itera...
Jonathan Lifflander, Sriram Krishnamoorthy, Laxmik...
Abstract. High Performance Fortran (hpf) is a data-parallel Fortran for Distributed Memory Multiprocessors. Hpf provides an interesting programming model but compilers are yet to c...
Simulating distributed database systems is inherently difficult, as there are many factors that may influence the results. This includesarchitectural options as well as workload...