Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
We present a scalable framework for parallelizing greedy graph coloring algorithms on distributed-memory computers. The framework unifies several existing algorithms and blends a ...
Doruk Bozdag, Assefaw Hadish Gebremedhin, Fredrik ...
This paper presents cooperative prefetching and caching — the use of network-wide global resources (memories, CPUs, and disks) to support prefetching and caching in the presence...
Geoffrey M. Voelker, Eric J. Anderson, Tracy Kimbr...
Recently, platform FPGAs that integrate sequential processors with a spatial fabric have become prevalent. While these hybrid architectures ease the burden of integrating sequenti...