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Parallel Programming - Christian (department Of Parallel And Distributed Architectures Hundt - Bog - Elsevier Science & Technology - Plusbog.dk

Parallel Programming - Christian (department Of Parallel And Distributed Architectures Hundt - Bog - Elsevier Science & Technology - Plusbog.dk

Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.

DKK 619.00
1

An Introduction to Parallel Programming - Matthew (assistant Professor Malensek - Bog - Elsevier Science & Technology - Plusbog.dk

An Introduction to Parallel Programming - Matthew (assistant Professor Malensek - Bog - Elsevier Science & Technology - Plusbog.dk

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.

DKK 620.00
1

Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators - Hipolito Aguilar (la Salle University Sierra - Bog - Elsevier

Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators - Hipolito Aguilar (la Salle University Sierra - Bog - Elsevier

Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators deals with the modeling and control of parallel robots. The book's content will benefit students, researchers and engineers in robotics by providing a simplified methodology to obtain the dynamic model of parallel robots with a delta-type architecture. Moreover, this methodology is compatible with the real-time implementation of model-based and robust control schemes. And, it can easily extend the proposed robust control solutions to other robotic architectures.

DKK 988.00
1

GPU-based Parallel Implementation of Swarm Intelligence Algorithms - Ying Tan - Bog - Elsevier Science & Technology - Plusbog.dk

GPU-based Parallel Implementation of Swarm Intelligence Algorithms - Ying Tan - Bog - Elsevier Science & Technology - Plusbog.dk

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms such as PSO, FWA, GA, DE, and ACO are presented and having described the implementation details including parallel models, implementation considerations as well as performance metrics are discussed. Finally, several typical applications of GPU-based swarm intelligence algorithms are presented. This valuable reference book provides a unique perspective not possible by studying either GPGPU or swarm intelligence alone. This book gives a complete and whole picture for interested readers and new comers who will find many implementation algorithms in the book suitable for immediate use in their projects. Additionally, some algorithms can also be used as a starting point for further research.

DKK 649.00
1

Multicore and GPU Programming - Gerassimos (professor Barlas - Bog - Elsevier Science & Technology - Plusbog.dk

Multicore and GPU Programming - Gerassimos (professor Barlas - Bog - Elsevier Science & Technology - Plusbog.dk

Multicore and GPU Programming: An Integrated Approach, Second Edition offers broad coverage of key parallel computing tools, essential for multi-core CPU programming and many-core "massively parallel" computing. Using threads, OpenMP, MPI, CUDA and other state-of-the-art tools, the book teaches the design and development of software capable of taking advantage of modern computing platforms that incorporate CPUs, GPUs and other accelerators. Presenting material refined over more than two decades of teaching parallel computing, author Gerassimos Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive case studies, and full source code. By using this book, readers will better understand how to develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting parallel machines.

DKK 827.00
1

Heterogeneous Computing with OpenCL 2.0 - Dong Ping (amd Zhang - Bog - Elsevier Science & Technology - Plusbog.dk

Heterogeneous Computing with OpenCL 2.0 - Dong Ping (amd Zhang - Bog - Elsevier Science & Technology - Plusbog.dk

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.

DKK 563.00
1

GPU Programming in MATLAB - Nikolaos Samaras - Bog - Elsevier Science & Technology - Plusbog.dk

GPU Programming in MATLAB - Nikolaos Samaras - Bog - Elsevier Science & Technology - Plusbog.dk

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.

DKK 411.00
1

CUDA Fortran for Scientists and Engineers - Massimiliano Fatica - Bog - Elsevier Science & Technology - Plusbog.dk

CUDA Fortran for Scientists and Engineers - Massimiliano Fatica - Bog - Elsevier Science & Technology - Plusbog.dk

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. In order to add CUDA Fortran to existing Fortran codes, they explain how to understand the target GPU architecture, identify computationally-intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance – all in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. This second edition provides much needed updates on how to efficiently program GPUs in CUDA Fortran. It can be used either as a tutorial on GPU programming in CUDA Fortran as well as a reference text.

DKK 936.00
1

Sustainable Wireless Network-on-Chip Architectures - Jacob Murray - Bog - Elsevier Science & Technology - Plusbog.dk

Sustainable Wireless Network-on-Chip Architectures - Jacob Murray - Bog - Elsevier Science & Technology - Plusbog.dk

Sustainable Wireless Network-on-Chip Architectures focuses on developing novel Dynamic Thermal Management (DTM) and Dynamic Voltage and Frequency Scaling (DVFS) algorithms that exploit the advantages inherent in WiNoC architectures. The methodologies proposed—combined with extensive experimental validation—collectively represent efforts to create a sustainable NoC architecture for future many-core chips. Current research trends show a necessary paradigm shift towards green and sustainable computing. As implementing massively parallel energy-efficient CPUs and reducing resource consumption become standard, and their speed and power continuously increase, energy issues become a significant concern. The need for promoting research in sustainable computing is imperative. As hundreds of cores are integrated in a single chip, designing effective packages for dissipating maximum heat is infeasible. Moreover, technology scaling is pushing the limits of affordable cooling, thereby requiring suitable design techniques to reduce peak temperatures. Addressing thermal concerns at different design stages is critical to the success of future generation systems. DTM and DVFS appear as solutions to avoid high spatial and temporal temperature variations among NoC components, and thereby mitigate local network hotspots.

DKK 339.00
1

Probabilistic Reasoning in Intelligent Systems - Judea Pearl - Bog - Elsevier Science & Technology - Plusbog.dk

Probabilistic Reasoning in Intelligent Systems - Judea Pearl - Bog - Elsevier Science & Technology - Plusbog.dk

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

DKK 546.00
1