Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
The modeling of power and thermal behavior of modern processors requires challenging validation approaches, which may be complex and in some cases unreliable. In order to address ...
Francisco J. Mesa-Martinez, Michael Brown, Joseph ...
Representing and Reasoning about time and change is one of the primary issues in the area of Artificial Intelligence (AI) and Knowledge Representation (KR). Despite the importance...
Model reduction of large-scale linear time-invariant systems is an ubiquitous task in control and simulation of complex dynamical processes. We discuss how LQG balanced truncation ...
The mainstream adoption of cluster, grid, and most recently cloud computing models have broadened the applicability of parallel programming from scientific communities to
the bus...