Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Dynamic frequency scaling and dynamic voltage scaling have been developed to save power and/or energy for general purpose computing platforms and high-end embedded systems. This p...
Data-driven array architectures seem to be important alternatives for coarse-grained reconfigurable computing platforms. Their use has provided performance improvements over micro...
Software-based self-test (SBST) has recently emerged as an effective methodology for the manufacturing test of processors and other components in systems-on-chip (SoCs). By moving ...
Efficient intra-node shared memory communication is important for High Performance Computing (HPC), especially with the emergence of multi-core architectures. As clusters continue ...