This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
This paper addresses the problem of component selection, task assignment and task scheduling for distributed embedded computer systems. Such systems have a large number of constra...
In this paper we explore the relationship between adder topology and energy efficiency. We compare the energy-delay tradeoff curves of selected 32-bit adder topologies, to determi...
Dinesh Patil, Omid Azizi, Mark Horowitz, Ron Ho, R...
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...