Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
— L1 data caches in high-performance processors continue to grow in set associativity. Higher associativity can significantly increase the cache energy consumption. Cache access...
Dan Nicolaescu, Babak Salamat, Alexander V. Veiden...
We consider several approaches for reducing the complexity and power dissipation in processors that use separate register file to maintain the commited register values. The first ...
Gurhan Kucuk, Oguz Ergin, Dmitry Ponomarev, Kanad ...
—As the 193nm lithography is likely to be used for 45nm and even 32nm processes, much more stringent requirement will be posed on Optical Proximity Correction (OPC) technologies....
Modeling frequency-dependent nonlinear characteristics of complex analog blocks and subsystems is critical for enabling efficient verification of mixed-signal system designs. Rece...