Lance Fiondella – författare

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures.Offering insights into different facets of this area, Multicore Computing: Algorithms, Architectures, and Applications focuses on the architectures, algorithms, and applications of multicore computing. It will help readers understand the intricacies of these architectures and prepare them to design efficient multicore algorithms. Contributors at the forefront of the field cover the memory hierarchy for multicore and manycore processors, the caching strategy Flexible Set Balancing, the main features of the latest SPARC architecture specification, the Cilk and Cilk++ programming languages, the numerical software library Parallel Linear Algebra Software for Multicore Architectures (PLASMA), and the exact multipattern string matching algorithm of Aho-Corasick. They also describe the architecture and programming model of the NVIDIA Tesla GPU, discuss scheduling directed acyclic graphs onto multi/manycore processors, and evaluate design trade-offs among Intel and AMD multicore processors, IBM Cell Broadband Engine, and NVIDIA GPUs. In addition, the book explains how to design algorithms for the Cell Broadband Engine and how to use the backprojection algorithm for generating images from synthetic aperture radar data.

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the

This book presents the latest key research into the performanceand reliability aspects of dependable fault-tolerant systems and featurescommentary on the fields studied by Prof. Kishor S. Trivedi during hisdistinguished career. Analyzing system evaluation as a fundamental tenet in thedesign of modern systems, this book uses performance and dependability ascommon measures and covers novel ideas, methods, algorithms, techniques, andtools for the in-depth study of the performance and reliability aspects ofdependable fault-tolerant systems. It identifies the current challenges thatdesigners and practitioners must face in order to ensure the reliability, availability,and performance of systems, with special focus on their dynamic behaviors anddependencies, and provides system researchers, performance analysts, andpractitioners with the tools to address these challenges in their work. Withcontributions from Prof. Trivedi's former PhD students and collaborators, manyof whom are internationally recognized experts, to honor him on the occasion ofhis 70th birthday, this book serves as a valuable resource for all engineeringdisciplines, including electrical, computer, civil, mechanical, and industrialengineering as well as production and manufacturing.