Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
The emerging discipline of algorithm engineering has primarily focussed on transforming pencil-and-paper sequential algorithms into robust, efficient, well tested, and easily used ...
David A. Bader, Bernard M. E. Moret, Peter Sanders
Abstract— Marshaling or serialization of objects is an important component of both distributed and parallel computing. Current systems impose a significant burden on the program...
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effecti...
Ghassan Fadlallah, Michel Lavoie, Louis-A. Dessain...
At UCLA's Plasma Physics Group, we have been successful in building and using a numerically-intensive parallel computing cluster using Power Macintosh hardware and the Macint...
Application domains, such as multimedia, databases, and parallel computing, require operating system services with high performance and high functionality. Existing operating syst...
Brian N. Bershad, Craig Chambers, Susan J. Eggers,...
The extremely low latencies and high bandwidth results achievable with the Scalable Coherent Interface SCI at lowest level encourages its integration into existing Message Passin...
Parallelism and concurrency have long been considered as non essential during the cursus of the average programmer. However, thanks to technological advances, new promising forms ...
Eric Dillon, Carlos Gamboa Dos Santos, Jacques Guy...
: Cluster systems gain more and more importance as a platform for parallel computing. In this area the power of the system is strongly coupled with the performance of the network, ...
The concept of design patterns has recently emerged as a new paradigm in the context of object-oriented design methodology. Similar ideas are being explored in other areas of compu...