Parallel processing

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

This invaluable guide addresses the Why, What, and How of enterprise cloud adoption, leveraging a clear framework and proven best practices from Microsoft's own experience.

CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.

The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.

A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.

Master identity solutions and strategies and prepare to achieve Microsoft Identity and Access Administrator SC-300 certificationPurchase of this book unlocks access to web-based exam prep resources such as mock exams, flashcards, and exam tipsKey FeaturesGain invaluable insights into SC-300 certification content from industry expertsStrengthen your foundations and master all crucial concepts required for exam successRigorous mock exams reflect the real exam environment, boosting your confidence and readinessPurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tipsBook DescriptionSC-300 exam content has undergone significant changes, and this second edition aligns with the revised exam objectives.

This book provides a comprehensive analysis of the most important topics in parallel computation.

The prefix operation on a set of data is one of the simplest and most useful building blocks in parallel algorithms.

As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved.

This is the first text explaining how to use the bulk synchronous parallel (BSP) model and the freely available BSPlib communication library in parallel algorithm design and parallel programming.

In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science.

At a critical point in human history, this book presents proven ways to gain the skills needed to develop sustainable IT practices and set yourself apart as a progressive technology leaderKey FeaturesExecute a sustainable IT strategy with proven methods and real-world use casesProgress as a sustainable IT advocate and set yourself apart from other senior IT leadersIncrease your chances of receiving executive buy-in on your sustainable IT strategyBook DescriptionWe are at a critical point in human history.

Leverage Modern Language Constructs to Write High-Quality Code FasterThe functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers.

Leverage Modern Language Constructs to Write High-Quality Code FasterThe functional and concurrent programming language features supported by modern languages can be challenging, even for experienced developers.

The Complete Guide to OpenACC for Massively Parallel Programming Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them.

The Complete Guide to OpenACC for Massively Parallel Programming Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them.

No detailed description available for "e;Enterprise-Grade Hybrid and Multi-Cloud Strategies"e;.

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.

No detailed description available for "e;Enterprise-Grade Hybrid and Multi-Cloud Strategies"e;.

CUDA is a computing architecture designed to facilitate the development of parallel programs.

CUDA is a computing architecture designed to facilitate the development of parallel programs.

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.

Intel Xeon Phi Processor High Performance Programming is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing.

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.

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

Service computing is a cross-disciplinary field that covers science and technology, and represents a promising direction for distributed computing and software development methodologies.

Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems.

Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program.

If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals.

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPUKey FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook DescriptionComputer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages.

Get up to speed with creational, structural, behavioral and concurrent patterns in Delphi to write clear, concise and effective codeKey FeaturesDelve into the core patterns and components of Delphi in order to master your application's designBrush up on tricks, techniques, and best practices to solve common design and architectural challengesChoose the right patterns to improve your program's efficiency and productivityBook DescriptionDesign patterns have proven to be the go-to solution for many common programming scenarios.

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook DescriptionGPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing.

Third edition out now with coverage on Generative AI, clean architecture, edge computing, and moreKey FeaturesTurn business needs into end-to-end technical architectures with this practical guideAssess and overcome various challenges while updating or modernizing legacy applicationsFuture-proof your architecture with IoT, machine learning, and quantum computingBook DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that.

This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and Internet of Things (IoT).

This is the book that will teach programmers to write faster, more efficient code for parallel processors.

An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture.

The Art of Multiprocessor Programming promises to be the first comprehensive presentation of the principles and tools available for programming multiprocessor machines.

No detailed description available for "e;System Programming Essentials with Go"e;.

The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems.

No detailed description available for "e;Big Data on Kubernetes"e;.

Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect's perspective to developing end-to-end solutionsPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesTranslate and implement conceptual architectures with the right Azure servicesInject artificial intelligence into data solutions for advanced analyticsLeverage cloud computing and frameworks to drive data science workloadsBook DescriptionWith data s growing importance in businesses, the need for cloud data and AI architects has never been higher.

Location-based services (LBS) are a new concept integrating a user's geographic location with the general notion of services, such as dialing an emergency number from a cell phone or using a navigation system in a car.

A pragmatic guide for modernizing your Java EE App with Jakarta EE for cloud-native, serverless excellenceKey FeaturesExplore the cargo tracker application, an industry-relevant example that illustrates key Jakarta EE concepts and practicesLearn how to transition from Java EE to Jakarta EE to modernize your existing applicationsUnderstand the benefits of cloud technologies and how to deploy a Jakarta EE application to the cloudPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionCloud-Native Development and Migration to Jakarta EE will help you unlock the secrets of Jakarta EE's evolution as you explore the migration and modernization of your applications.

Service computing is a cross-disciplinary field that covers science and technology, and represents a promising direction for distributed computing and software development methodologies.

Middleware is the bridge that connects distributed applications across different physical locations, with different hardware platforms, network technologies, operating systems, and programming languages.

Master strategies for crafting high-performance Java systems with Spring 6.