Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
We have developed an application-driven methodology for implementing parallel and heterogeneous programmable platforms. We deploy our flow for network access platforms where we h...
Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism. Thes...
Reid B. Porter, Jan R. Frigo, Al Conti, Neal R. Ha...
The increasing demand for more bandwidth and the increased application variety fuel the need for high performance network processors. A simple but highly repetitive task performed...
Traditional query processors generate full, accurate query results, either in batch or in pipelined fashion. We argue that this strict model is too rigid for exploratory queries o...