Resource allocation for high-performance real-time applications is challenging due to the applications' data-dependent nature, dynamic changes in their external environment, ...
Analog techniques can lead to ultra-efficient computational systems when applied to the right applications. The problem of associative memory is well suited to array-based analog ...
Alan Kramer, Roberto Canegallo, Mauro Chinosi, D. ...
This paper presents an extensive empirical evaluation of an interprocedural parallelizing compiler, developed as part of the Stanford SUIF compiler system. The system incorporates...
Mary W. Hall, Saman P. Amarasinghe, Brian R. Murph...
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Animportantgoalofvisualizationtechnologyistosupport the exploration and analysis of very large amounts of data. In this paper, we propose a new visualization technique called ‘r...
Daniel A. Keim, Mihael Ankerst, Hans-Peter Kriegel