In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
We propose a high-level analytical model for estimating the energy and/or power dissipation in VLSI processor (systolic) array implementations of loop programs, particularly for i...
In this paper, for the first time, a theory for evaluating dynamic noise margins of SRAM cells is developed analytically. The results allow predicting the transient error suscepti...
Bin Zhang, Ari Arapostathis, Sani R. Nassif, Micha...
— Reconfigurable computing (RC) systems, coupling general purpose processor with reconfigurable components, offer a lot of advantages. Nevertheless, currently a designer needs ...
Yana Yankova, Koen Bertels, Stamatis Vassiliadis, ...
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...