The power consumption of microprocessors is becoming increasingly important in design decisions, not only in mobile processors, but also now in high-performance processors. Power-...
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...
We propose a tunable scheduling strategy that lies between FIFO and shortest- rst, based on the value of a coe cient Alpha. If Alpha is set to zero then this strategy is just FIFO....
A datapath synthesis system (DPSS) for a bus-based wavefront array architecture, called rDPA (reconfigurable datapath architecture), is presented. An internal data bus to the arra...