While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
An energy optimization is proposed that addresses the nontrivial digital contribution to power and impact on performance in high-speed mixed-signal circuits. Parallel energy and b...
Exponential increases in architectural design complexity threaten to make traditional processor design optimization techniques intractable. Genetically programmed response surface...
System optimization techniques based on dynamic voltage scaling (DVS) are widely used with the aim of reducing processor energy consumption. Inter-task DVS assigns the same voltag...
This paper presents our experience mapping OpenMP parallel programming model to the IBM Cyclops-64 (C64) architecture. The C64 employs a many-core-on-a-chip design that integrates...