In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
—Transactional memory (TM) is a promising paradigm for helping programmers take advantage of emerging multicore platforms. Though they perform well under low contention, hardware...
Hany E. Ramadan, Christopher J. Rossbach, Emmett W...
Memory-processor integration o ers new opportunities for reducing the energy of a system. In the case of embedded systems, one solution consists of mapping the most frequently acc...
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Traditional operating systems use a xed LRU-like page replacement policy and centralized frame pool that cannot properly serve all types of memory access patterns of various appli...