You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
This volume comprises the proceedings of the 6th International Conference on Parallel Processing and Applied Mathematics - PPAM 2005, which was held in Poznan, the industrial, academic and cultural center in the western part of Poland, during September 11–14, 2005.
This book constitutes the refereed proceedings of the 8th International Workshop on Systems, Architectures, Modeling, and Simulation, SAMOS 2008, held in Samos, Greece, in July 2008. The 24 revised full papers presented together with a contamplative keynote and additional papers of two special workshop sessions were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on architecture, new frontiers, SoC, application specific contributions, system level design for heterogeneous systems, programming multicores, sensors and sensor networks; and systems modeling and design.
This book constitutes the refereed proceedings of the 8th International Workshop on Hybrid Systems: Computation and Control, HSCC 2005, held in Zurich, Switzerland in March 2005. The 40 revised full papers presented together with 2 invited papers and the abstract of an invited talk were carefully reviewed and selected from 91 submissions. The papers focus on modeling, analysis, and implementation of dynamic and reactive systems involving both discrete and continuous behaviors. Among the topics addressed are tools for analysis and verification, control and optimization, modeling, engineering applications, and emerging directions in programming language support and implementation.
Advances in Parallel Computing series presents the theory and use of of parallel computer systems, including vector, pipeline, array, fifth and future generation computers and neural computers. This volume features original research work, as well as accounts on practical experience with and techniques for the use of parallel computers.
I Unidimensional Problems.- 1 Scheduling DAGs without Communications.- 2 Scheduling DAGs with Communications.- 3 Cyclic Scheduling.- II Multidimensional Problems.- 4 Systems of Uniform Recurrence Equations.- 5 Parallelism Detection in Nested Loops.
Walter Stadnick is not an imposing man. At five-foot-four, his face and arms scarred by fire in a motorcycle accident, he would not spring to mind as a leader of Canada's most notorious biker gang, the Hells Angels. yet through sheer guts and determination, intelligence and luck, this Hamilton-born youth who had the nickname of "Nurget" rose in the Hells Angels ranks to become national president. Not only did he lead the Angels through the violent war with their rivals the rock machine in Montreal in the Nineties, Stadnick saw opportunity to grow the Hells Angels into a national criminal gang. he was a visionary--and a highly successful one. Bikers are not known for their fondness for rival ...
High-Performance Embedded Computing, Second Edition, combines leading-edge research with practical guidance in a variety of embedded computing topics, including real-time systems, computer architecture, and low-power design. Author Marilyn Wolf presents a comprehensive survey of the state of the art, and guides you to achieve high levels of performance from the embedded systems that bring these technologies together. The book covers CPU design, operating systems, multiprocessor programs and architectures, and much more. Embedded computing is a key component of cyber-physical systems, which combine physical devices with computational resources for control and communication. This revised editi...
This book features chapters which explore algorithms, programming languages, systems, tools and theoretical models aimed at high performance computing on heterogeneous networks of computers.