Parallel Programming 4

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate tradit……続きを見る

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 G……続きを見る

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 ……続きを見る

Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate student……続きを見る

Wolfgang Engel’s GPU Pro 360 Guide to GPGPU gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers general purpose GPU……続きを見る

Get writing tests and learn to design your own testing framework with Selenium WebDriver APIKey FeaturesLearn Selenium from the ground upDesign your own testing frameworkCreate reusable functionalit……続きを見る

Wolfgang Engel’s GPU Pro 360 Guide to 3D Engine Design gathers all the cutting-edge information from his previous seven GPU Pro volumes into a convenient single source anthology that covers the desi……続きを見る

Concurrency is a powerful technique for developing efficient and lightning- fast software. For instance, concurrency can be used in common applications such as online order processing to speed proce……続きを見る

Java Made Easy – a Step-by-Step Guide for Beginners Learning a programming language can seem like a daunting task. You may have looked at coding in the past, and felt it was too complicated and conf……続きを見る

Create distributed applications with clever design patterns to solve complex problems Key Features Set up and run distributed algorithms on a cluster using Dask and PySpark Master skills to accurat……続きを見る

Explore a GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronizati……続きを見る

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how ……続きを見る

The programming language Fortran dates back to 1957 when a team of IBM engineers released the first Fortran Compiler. During the past 60 years, the language had been revised and updated several time……続きを見る

Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: ……続きを見る

Learn when and how to use Clojure's polymorphic features to develop efficient multithreaded applications Key Features Get to grips with the different polymorphic tools that Clojure offers Develop a……続きを見る

Proven methodologies and concurrency techniques that will help you write faster and better code with Go programmingKey FeaturesExplore Go’s profiling tools to write faster programs by identifying an……続きを見る

Are we doing DevOps or SRE? There are many blogs, videos, Quora posts discussing the similarities and differences in both the practices. SRE was developed by Google for internal consumption and over……続きを見る

Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach. Enter distributed tracing, a method of profiling and monitoring distri……続きを見る

Create modern yet effective multi-platform applications by building interactive UIs following a single codebase approach to boost productivityKey FeaturesDelve into the FireMonkey framework and expl……続きを見る

This book presents novel and efficient tools, techniques and approaches for reliability evaluation, reliability analysis, and design of reliable communication networks using graph theoretic concepts……続きを見る

200 Hadoop BIG DATA Interview Questions 76 HR Interview Questions Real life scenario based questions Strategies to respond to interview questions 2 Aptitude Tests Hadoop BIG DATA Interview Questio……続きを見る

R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time s……続きを見る

Parallel Computing: Methods, Algorithms and Applications presents a collection of original papers presented at the international meeting on parallel processing, methods, algorithms, and applications……続きを見る

A comprehensive guide to help aspiring and professional C++ developers elevate the performance of their apps by allowing them to run faster and consume fewer resources. Purchase of the print or Kind……続きを見る

Implement, run, operate, and test data processing pipelines using Apache Beam Key Features • Understand how to improve usability and productivity when implementing Beam pipelines • Learn how to use ……続きを見る

Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant ……続きを見る

Las interfaces de usuario son el punto de interacción entre las aplicaciones y las personas que las utilizan. Aunque su función se centra en la entrada y salida de información, muchas veces determin……続きを見る

Learning to program in assembly language is an excellent hands-on introduction to computer architecture. However, assembly language has a bad reputation of being difficult to learn. Through the use ……続きを見る

Leverage the latest parallel and concurrency features in .NET 6 when building your next application and explore the benefits and challenges of asynchrony, parallelism, and concurrency in .NET via pr……続きを見る

A programação paralela nos permite criar aplicações que podem realizar uma quantidade expressiva de cálculos sobre um conjunto significativo de dados, com resultados em prazos muito mais reduzidos, ……続きを見る