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Parallel Algorithms - Henri Casanova - Bog - Taylor & Francis Inc - Plusbog.dk

Elements of Parallel Computing - Eric Aubanel - Bog - Taylor & Francis Inc - Plusbog.dk

Elements of Parallel Computing - Eric Aubanel - Bog - Taylor & Francis Inc - Plusbog.dk

Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns. The aim is to facilitate the teaching of parallel programming by surveying some key algorithmic structures and programming models, together with an abstract representation of the underlying hardware. The presentation is friendly and informal. The content of the book is language neutral, using pseudocode that represents common programming language models. The first five chapters present core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a brief discussion of what their execution models look like. The book also discusses decomposition as a fundamental activity in parallel algorithmic design, starting with a naive example, and continuing with a discussion of some key algorithmic structures. Important programming models are presented in depth, as well as important concepts of performance analysis, including work-depth analysis of task graphs, communication analysis of distributed memory algorithms, key performance metrics, and a discussion of barriers to obtaining good performance. The second part of the book presents three case studies that reinforce the concepts of the earlier chapters. One feature of these chapters is to contrast different solutions to the same problem, using select problems that aren''t discussed frequently in parallel computing textbooks. They include the Single Source Shortest Path Problem, the Eikonal equation, and a classical computational geometry problem: computation of the two-dimensional convex hull. After presenting the problem and sequential algorithms, each chapter first discusses the sources of parallelism then surveys parallel algorithms.

DKK 671.00
1

Parallel Computing for Data Science - Norman (university Of California Matloff - Bog - Taylor & Francis Inc - Plusbog.dk

Parallel Programming with Co-arrays - Robert W. (minnesota Supercomputing Institute Numrich - Bog - Taylor & Francis Inc - Plusbog.dk

Fundamentals of Parallel Multicore Architecture - Yan (solihin Publishing And Consulting Solihin - Bog - Taylor & Francis Inc - Plusbog.dk

Fundamentals of Parallel Multicore Architecture - Yan (solihin Publishing And Consulting Solihin - Bog - Taylor & Francis Inc - Plusbog.dk

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures. Filling this gap, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the architecture of multicore processors. The book is also useful as a reference for professionals who deal with programming on multicore or designing multicore chips. The text’s coverage of fundamental topics prepares students to study research papers in the multicore architecture area. The text offers many pedagogical features, including: - Sufficiently short chapters that can be comfortably read over a weekend - Introducing each concept by first describing the problem and building intuition that leads to the need for the concept - "Did you know?" boxes that present mini case studies, alternative points of view, examples, and other interesting facts or discussion items - Thought-provoking interviews with experts who share their perspectives on multicore architectures in the past, present, and future - Online programming assignments and solutions that enhance students’ understanding The first several chapters address programming issues in shared memory multiprocessors, such as the programming model and techniques to parallelize regular and irregular applications. The core of the book covers the architectures for shared memory multiprocessors. The final chapter contains interviews with experts in parallel multicore architecture.

DKK 1022.00
1

GPU Parallel Program Development Using CUDA - Tolga (university At Albany Soyata - Bog - Taylor & Francis Inc - Plusbog.dk

GPU Parallel Program Development Using CUDA - Tolga (university At Albany Soyata - Bog - Taylor & Francis Inc - Plusbog.dk

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs. Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust),the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apple’s Swift and Metal,) and the deep learning library cuDNN.

DKK 717.00
1

Ordered Regression Models - Andrew S. Fullerton - Bog - Taylor & Francis Inc - Plusbog.dk

Ordered Regression Models - Andrew S. Fullerton - Bog - Taylor & Francis Inc - Plusbog.dk

Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption. The authors first introduce the three "parallel" ordered regression models before covering unconstrained partial, constrained partial, and nonparallel models. They then review existing tests for the parallel regression assumption, propose new variations of several tests, and discuss important practical concerns related to tests of the parallel regression assumption. The book also describes extensions of ordered regression models, including heterogeneous choice models, multilevel ordered models, and the Bayesian approach to ordered regression models. Some chapters include brief examples using Stata and R. This book offers a conceptual framework for understanding ordered regression models based on the probability of interest and the application of the parallel regression assumption. It demonstrates the usefulness of numerous modeling alternatives, showing you how to select the most appropriate model given the type of ordinal outcome and restrictiveness of the parallel assumption for each variable. Web Resource More detailed examples are available on a supplementary website. The site also contains JAGS, R, and Stata codes to estimate the models along with syntax to reproduce the results.

DKK 819.00
1

Fast Solvers for Mesh-Based Computations - Maciej Paszynski - Bog - Taylor & Francis Inc - Plusbog.dk

Fast Solvers for Mesh-Based Computations - Maciej Paszynski - Bog - Taylor & Francis Inc - Plusbog.dk

Fast Solvers for Mesh-Based Computations presents an alternative way of constructing multi-frontal direct solver algorithms for mesh-based computations. It also describes how to design and implement those algorithms. The book’s structure follows those of the matrices, starting from tri-diagonal matrices resulting from one-dimensional mesh-based methods, through multi-diagonal or block-diagonal matrices, and ending with general sparse matrices. Each chapter explains how to design and implement a parallel sparse direct solver specific for a particular structure of the matrix. All the solvers presented are either designed from scratch or based on previously designed and implemented solvers. Each chapter also derives the complete JAVA or Fortran code of the parallel sparse direct solver. The exemplary JAVA codes can be used as reference for designing parallel direct solvers in more efficient languages for specific architectures of parallel machines. The author also derives exemplary element frontal matrices for different one-, two-, or three-dimensional mesh-based computations. These matrices can be used as references for testing the developed parallel direct solvers. Based on more than 10 years of the author’s experience in the area, this book is a valuable resource for researchers and graduate students who would like to learn how to design and implement parallel direct solvers for mesh-based computations.

DKK 993.00
1

Parallel Models of Associative Memory - - Bog - Taylor & Francis Inc - Plusbog.dk

integrating Marker Passing and Problem Solving - James A. Hendler - Bog - Taylor & Francis Inc - Plusbog.dk

Perspectives in Concurrency - - Bog - Taylor & Francis Inc - Plusbog.dk

Technical Proceedings of the 2007 Cleantech Conference and Trade Show - Nanoscience & Technology Inst - Bog - Taylor & Francis Inc - Plusbog.dk

Learning and Categorization in Modular Neural Networks - Jacob M.j. Murre - Bog - Taylor & Francis Inc - Plusbog.dk

Learning and Categorization in Modular Neural Networks - Jacob M.j. Murre - Bog - Taylor & Francis Inc - Plusbog.dk

This book introduces a new neural network model called CALM, for categorization and learning in neural networks. The author demonstrates how this model can learn the word superiority effect for letter recognition, and discusses a series of studies that simulate experiments in implicit and explicit memory, involving normal and amnesic patients. Pathological, but psychologically accurate, behavior is produced by "lesioning" the arousal system of these models. A concise introduction to genetic algorithms, a new computing method based on the biological metaphor of evolution, and a demonstration on how these algorithms can design network architectures with superior performance are included in this volume. The role of modularity in parallel hardware and software implementations is considered, including transputer networks and a dedicated 400-processor neurocomputer built by the developers of CALM in cooperation with Delft Technical University. Concluding with an evaluation of the psychological and biological plausibility of CALM models, the book offers a general discussion of catastrophic interference, generalization, and representational capacity of modular neural networks. Researchers in cognitive science, neuroscience, computer simulation sciences, parallel computer architectures, and pattern recognition will be interested in this volume, as well as anyone engaged in the study of neural networks, neurocomputers, and neurosimulators.

DKK 264.00
1

Learning and Categorization in Modular Neural Networks - Jacob M.j. Murre - Bog - Taylor & Francis Inc - Plusbog.dk

Learning and Categorization in Modular Neural Networks - Jacob M.j. Murre - Bog - Taylor & Francis Inc - Plusbog.dk

This book introduces a new neural network model called CALM, for categorization and learning in neural networks. The author demonstrates how this model can learn the word superiority effect for letter recognition, and discusses a series of studies that simulate experiments in implicit and explicit memory, involving normal and amnesic patients. Pathological, but psychologically accurate, behavior is produced by "lesioning" the arousal system of these models. A concise introduction to genetic algorithms, a new computing method based on the biological metaphor of evolution, and a demonstration on how these algorithms can design network architectures with superior performance are included in this volume. The role of modularity in parallel hardware and software implementations is considered, including transputer networks and a dedicated 400-processor neurocomputer built by the developers of CALM in cooperation with Delft Technical University. Concluding with an evaluation of the psychological and biological plausibility of CALM models, the book offers a general discussion of catastrophic interference, generalization, and representational capacity of modular neural networks. Researchers in cognitive science, neuroscience, computer simulation sciences, parallel computer architectures, and pattern recognition will be interested in this volume, as well as anyone engaged in the study of neural networks, neurocomputers, and neurosimulators.

DKK 422.00
1

Studying the Novice Programmer - - Bog - Taylor & Francis Inc - Plusbog.dk

Distributed Computer-Aided Engineering - Sanjay Kumar - Bog - Taylor & Francis Inc - Plusbog.dk

Involved Fathering and Men's Adult Development - Rob Palkovitz - Bog - Taylor & Francis Inc - Plusbog.dk

Algorithms and Data Structures in C++ - Alan Parker - Bog - Taylor & Francis Inc - Plusbog.dk

Field Methods in Marine Science - Scott (associate Professor At University Of Southern Mississippi Milroy - Bog - Taylor & Francis Inc - Plusbog.dk

Reduction And Predictability Of Natural Disasters - John Rundle - Bog - Taylor & Francis Inc - Plusbog.dk

Debt, Crisis and Recovery: The 1930's and the 1990's - Albert G. Hart - Bog - Taylor & Francis Inc - Plusbog.dk

Black Holes, Wormholes and Time Machines - Jim Al Khalili - Bog - Taylor & Francis Inc - Plusbog.dk