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 ...
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
On a distributed memory machine, hand-coded message passing leads to the most efficient execution, but it is difficult to use. Parallelizing compilers can approach the performance...
Time synchronization in highly distributed wireless systems like sensor and ad hoc networks is extremely important in order to maintain a consistent notion of time throughout the ...
Murtuza Jadliwala, Qi Duan, Shambhu J. Upadhyaya, ...
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...