The topic of data structures has historically been taught with two major focuses: first, the basic definition and implementation of a small set of basic data structures (e.g. list...
Daniel J. Ernst, Daniel E. Stevenson, Paul J. Wagn...
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
We introduce a new non-intrusive on-chip cache-tuning hardware module capable of accurately predicting the best configuration of a configurable cache for an executing application....
Ann Gordon-Ross, Pablo Viana, Frank Vahid, Walid A...