Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API About This Book Implement concurrent applications using the Java 8 Concurrency API and its new components Improve the performance of your applications or process more data at the same time, taking advantage of all of your resources. Construct real-world examples related to machine learning, data mining, image processing, and client/server environments Who This Book Is For If you are a competent Java developer with a good understanding of concurrency but have no knowledge of how to effectively implement concurrent programs or use streams to make processes more efficient, then this book is for you. What You Will Learn Design concurrent applications by converting a sequential algorithm into a concurrent one Discover how to avoid all the possible problems you can get in concurrent algorithms Use the Executor framework to manage concurrent tasks without creating threads Extend and modify Executors to adapt their behavior to your needs Solve problems using the divide and conquer technique and the Fork/Join framework Process massive data sets with parallel streams and Map/Reduce implementation Control data-race conditions using concurrent data structures and synchronization mechanisms Test and monitor concurrent applications In Detail Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. All the sub-tasks are combined together once the required results are achieved; they are then merged to get the final output. The whole process is very complex. This process goes from the design of concurrent algorithms to the testing phase where concurrent applications need extra attention. Java includes a comprehensive API with a lot of ready-to-use components to implement powerful concurrency applications in an easy way, but with a high flexibility to adapt these components to your needs. The book starts with a full description of design principles of concurrent applications and how to parallelize a sequential algorithm. We'll show you how to use all the components of the Java Concurrency API from basics to the most advanced techniques to implement them in powerful concurrency applications in Java. You will be using real-world examples of complex algorithms related to machine learning, data mining, natural language processing, image processing in client / server environments. Next, you will learn how to use the most important components of the Java 8 Concurrency API: the Executor framework to execute multiple tasks in your applications, the phaser class to implement concurrent tasks divided into phases, and the Fork/Join framework to implement concurrent tasks that can be split into smaller problems (using the divide and conquer technique). Toward the end, we will cover the new inclusions in Java 8 API, the Map and Reduce model, and the Map and Collect model. The book will also teach you about the data structures and synchronization utilities to avoid data-race conditions and other critical problems. Finally, the book ends with a detailed description of the tools and techniques that you can use to test a Java concurrent application. Style and approach A complete guide implementing real-world examples with algorithms related to machine learning, data mining, and natural language processing in client/server environments. All the examples are explained in a step-by-step approach.

The Workshop on Simulation and Optimization for Sustainable Engineering is held in Santander (September 28th-29th) on the occasion of the visit of Prof. Ignacio Grossmann to the Department of Chemical and Biomolecular Engineering of the Universidad de Cantabria in the framework of the Fulbright U.S. Specialist Program. This workshop is organized in collaboration with AQUIQÁN, the Association of Chemistry and Chemical Engineering of Cantabria, with the aims of serving both as a forum of discussion of the recent advances in the topic and a meeting point of the closest collaborators of Prof. Grossmann in Spain over the last years. Overall, 30 researchers will take part in this event coming from several universities (Alicante, Cantabria, Rovira i Virgili, Salamanca, Sevilla, and Valladolid) and the IMDEA Materials Institute. The program includes a plenary lecture imparted by Prof. Grossmann, one keynote presentation representative of each institution and around 15 oral presentations from young researchers.

[CASTELLÀ] El presente proyecto tiene como objetivo el estudio de la norma UNE-ISO 21500:2012. La norma UNE-ISO 21500 proporciona un alto nivel de descripción de los conceptos y procesos que se consideran para formar buenas prácticas en la gestión de proyectos. Se presentará los principios y directrices de la norma ISO 21500 y se analizará el proceso de proyecto de una planta solar fotovoltaica aplicando la metodología ISO 21500.

"Writing concurrent and parallel programming applications is a crucial skill for any Java programmer. Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs. This video will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. The video covers all the elements of the Java Concurrency API, with essential recipes that will help you take advantage of the exciting new capabilities. You will learn how to use parallel and reactive streams to process massive data sets. Next, you will move on to create streams and use all their intermediate and terminal operations to process big collections of data in a parallel and functional way. Further on, you'll discover a whole range of recipes for almost everything, such as thread management, synchronization, executors, parallel and reactive streams, and much more. By the end of the video, you will know how to obtain information about the status of some of the most useful components of the Java Concurrency API and how to test concurrent applications using different tools."--Resource description page.

Un estudio sobre cómo evitar la transmisión del CO-VID en lugares cerrados. Realizado en coautoría con un catedrático de la Universidad de Barcelona, basándose en estudios de equipos y catedráticos otras Universidades y entidades nacionales e internacionales, con diseño y acoplamientos de equipos para tal fin.