We propose a generic, domain-independent local search method called adaptive search for solving Constraint Satisfaction Problems (CSP). We design a new heuristics that takes advan...
In the recent years support vector machines (SVMs) have been successfully applied to solve a large number of classification problems. Training an SVM, usually posed as a quadrati...
In this paper we propose a simple extension to the I/O architecture of scalable multiprocessors that optimizes page swap-outs significantly. More specifically, we propose the use o...
This paper develops and validates an analytical model for evaluating various types of architectural alternatives for shared-memory systems with processors that aggressively exploi...
Daniel J. Sorin, Vijay S. Pai, Sarita V. Adve, Mar...
This paper describes the unrolling of loops with indeterminate loop counts in system level pipelines. Two methods are discussed in this paper. The first method is the varied latenc...