Memory interleaving is a cost-efficient approach to increase bandwidth. Improving data access locality and reducing memory access conflicts are two important aspects to achieve hi...
Materialized views have been found to be very effective at speeding up queries, and are increasingly being supported by commercial databases and data warehouse systems. However, w...
Hoshi Mistry, Prasan Roy, S. Sudarshan, Krithi Ram...
Code size expansion of software-pipelined loops is a critical problem for DSP systems with strict code size constraint. Some ad-hoc code size reduction techniques were used to try...
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
To use their pool of resources efficiently, distributed stream-processing systems push query operators to nodes within the network. Currently, these operators, ranging from simple...
Peter R. Pietzuch, Jonathan Ledlie, Jeffrey Shneid...