With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputin
This book provides a systematic, foundational introduction to automatic alignment of parallel texts, a family of essential corpus analysis techniques for computing and learning the mappings between co
With contributions from prominent researchers, this is a comprehensive review of state-of-the-art architectures, protocols, technologies and applications in pervasive computing and wireless networking
GAME DEVELOPMENT WITH MICROSOFT DIRECTCOMPUTE teaches the theories behind parallel computing and computing on the graphics card, and provides hands-on examples of real tasks that could be solved using
Communications of ACMInternet ResearchIEEE Transactions on Parallel and Distributed SystemsParallel ComputingIEEE Transactions on ComputersACM Transactions on Computer Systems
McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cog
Self-stabilization, an important concept to theoreticians and practitioners in distributed computing and communication networks, refers to a system's ability to recover automatically from unexpected f
Developments in parallel computing in recent years have made it possible to build multi-processor architectures that enable efficiency and speed in today's computing environment. Parallel Algorithms a
"Vector Models for Data-Parallel Computing "describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It
McClelland and Rumelhart's "Parallel Distributed Processing "was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and c
