Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
We have developed a system architecture, measuring and modeling techniques, and algorithms for on-line power and energy optimization and thermal management. The starting point for...
On-chip coherence directories of today's multi-core systems are not energy efficient. Coherence directories dissipate a significant fraction of their power on unnecessary loo...
Pejman Lotfi-Kamran, Michael Ferdman, Daniel Crisa...
Using FPGAs to accelerate High Performance Computing (HPC) applications is attractive, but has a huge associated cost: the time spent, not for developing efficient FPGA code but fo...
—Current general-purpose memory allocators do not provide sufficient speed or flexibility for modern highperformance applications. To optimize metrics like performance, memory us...