Wiley Series on Parallel and Distributed Computing

This book provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing i

This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. The guide starts with a broad technical overview and basic introducti

A unique investigation of the state of the art in design, architectures, and implementations of advanced computational infrastructures and the applications they support Emerging large-scale adaptive

This groundbreaking monograph offers a mechanistic theory of the representation anduse of semantic knowledge, integrating the strengths and overcoming many of the weaknesses ofhierarchical, categoriza

This book is concerned with emergence, interaction, art and computing. It introduces a new focus for emergence in interactive art: the emergent experience. Emergence literature is discussed and an org

This exciting new book explores the relationship between cultural traditions and computers, looking at how people from very different cultures and backgrounds communicate and how the use of informatio

This new, modernized edition provides a clear and thorough introduction to matrix computations,a key component of scientific computing Retaining the accessible and hands-on style of its predecesso

To help researchers from different areas of science understand and unlock the potential of the Polish Grid Infrastructure and to define their requirements and expectations, the following 13 pilot comm

July 6-8, 1994 * the Massachusetts Institute of Technology The field of artificial life has recently emerged through the interaction of research in biology, physics, parallel computing, artificial in

Pratt Sessions presents a series of conversations between notable practitioners and thinkers. It is a distributed symposium that is curated and yet open-ended.Based on an ongoing lecture series at Pra

Computers as Components: Principles of Embedded Computing System Design, Fourth Edition, continues to focus on foundational content in embedded systems technology and design while introducing new cont

This book presents introductions to DKD and PKD, extensive reviews of the field, and state-of-the-art techniques. Foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the pro

本書內容包含Part I Foundation Dc Concepts1 Introduction 2 Voltage And Current 3 Resistance 4 Ohm’s Law, Power, And Energy Part II Basic Dc Analysis5 Series Circuits 6 Parallel Circuits 7 Series-Parallel Cir

This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing

The auditor's guide to ensuring correct security and privacy practices in a cloud computing environmentMany organizations are reporting or projecting a significant cost savings through the use of clou

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster.

"This book covers the latest innovations in resource management, control and monitoring applications, and security of cloud technology, compiling and analyzing current trends, technological concepts,

Creating scientific workflow applications is a very challenging task due to the complexity of the distributed computing environments involved, the complex control and data flow requirements of scienti

Essays explore the influence of art in twentieth-century American culture, including jazz, basketball, professional wrestling, magic, gambling, entrepreneurship, series television and automotive desig

We are now confronted with a new type of uncanny experience, an uncanny evoked by parallel processing, aggregate data, and cloud-computing. The digital uncanny does not erase the uncanny feeling we ex

We are now confronted with a new type of uncanny experience, an uncanny evoked by parallel processing, aggregate data, and cloud-computing. The digital uncanny does not erase the uncanny feeling we ex

This book discusses advanced topics?such as?R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author will lead readers to merge mature and effecti

This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, and approxi

This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members o

This book addresses the application of computing to cultural heritage and the discipline of Digital Humanities that formed around it. Digital Humanities research is transforming how the Human record c

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

A hands-on introduction to parallel programming based on the Message-Passing Interface (MPI) standard, the de-facto industry standard adopted by major vendors of commercial parallel systems. This tex