The size and speed of first-level caches and SRAMs of embedded processors continue to increase in response to demands for higher performance. In power-sensitive devices like PDAs a...
Abstract. Recent research indicates that prediction-based coherence optimizations offer substantial performance improvements for scientific applications in distributed shared memor...
Stephen Somogyi, Thomas F. Wenisch, Nikolaos Harda...
Abstract. Many applications with large data spaces that cannot run on a typical workstation (due to page faults) call for techniques to expand the effective memory size. One such t...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...