Memory system optimizations have been well studied on single-threaded systems; however, the wide use of simultaneous multithreading (SMT) techniques raises questions over their ef...
Dealing with imprecise information is a common characteristic in real-world problems. Specifically, when the source of the information are physical sensors, a level of noise in t...
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 $D$...
On machines with high-performance processors, the memory system continues to be a performance bottleneck. Compilers insert prefetch operations and reorder data accesses to improve...
Nathaniel McIntosh, Sandya Mannarswamy, Robert Hun...
The existing decoupling capacitance optimization approaches meet constraints on input impedance for package. In this paper, we show that using impedance as constraints leads to la...