Networking and Parallel/Distributed Computing 2012

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela. Spain in August 2017

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data proces

This book presents a collection of contributions addressing recent advances and research in synergistic combinations of topics in the joint fields of intelligent computing and distributed computing. I

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective m

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

作者簡介曾煜棋 (Yu-Chee Tseng) 教授/系主任美國俄亥俄州立大學博士目前任教於國立交通大學資訊工程學系Research Interests: ‧ Wireless Communications and Networks ‧ Communication Protocols ‧ Mobile Computing ‧ Parallel and Distributed Computing ‧

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