Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Commodity accelerator technologies including reconfigurable devices provide an order of magnitude performance improvement compared to mainstream microprocessor systems. A number o...
Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith
1 As distributed systems scale up and are deployed into increasingly sensitive settings, demand is rising for a new generation of communications middleware in support of applicati...
Ken Birman, Mahesh Balakrishnan, Danny Dolev, Tudo...
In data dominated applications, loop transformations have a huge impact on the lifetime of array data and therefore on memory footprint. Since a locally optimal loop transformatio...
Qubo Hu, Arnout Vandecappelle, Per Gunnar Kjeldsbe...
This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...