Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
With the growing complexity in consumer embedded products, new tendencies forecast heterogeneous Multi-Processor SystemsOn-Chip (MPSoCs) consisting of complex integrated component...
David Atienza, Federico Angiolini, Srinivasan Mura...
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
This paper suggests that the thermal state of a processor can be approximated using data flow analysis. The results of this analysis can be used to evaluate the efficacy of therma...
In this paper, we present a new method to the built-in selftestable data path synthesis based on integer linear programming (ILP). Our method performs system register assignment, ...