Creating scientific workflow applications is a very challenging task due to the complexity of the distributed computing environments involved, the complex control and data flow requirements of scientific applications, and the lack of high-level languages and tools support. Particularly, sophisticated expertise in distributed computing is commonly required to determine the software entities to perform computations of workflow tasks, the computers on which workflow tasks are to be executed, ...

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guideKey Features\[\*\] Learn how to implement advanced techniques in deep learning with Google’s brainchild, TensorFlow\[\*\] Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide\[\*\] Real-world contextualization through some deep learning problem...

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ??ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includ...

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achiev...

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x Key FeaturesSkill up and implement tricky neural networks using Google's TensorFlow 1.xAn easy-to-follow guide that lets you explore reinforcement learning, GANs, autoencoders, multilayer perceptrons and more.Hands-on recipes to work with Tensorflow on desktop, mobile, and cloud environmentBook DescriptionDeep neural networ...

This book constitutes the refereed proceedings of the 13th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2016, held in San Sebastián, Spain, in July 2016.The 19 revised full papers and 2 extended abstracts presented were carefully reviewed and selected from 66 submissions. They present the state of the art in intrusion detection, malware analysis, and vulnerability assessment, dealing with novel ideas, techniques, and applicati...

This book is your ultimate cryptography resource. Here you will find the most up-to-date information, facts, quotes and much more.In easy to read chapters, with extensive references and links to get you to know all there is to know about cryptography's whole picture right away. Get countless cryptography facts right at your fingertips with this essential resource.The cryptography Handbook is the single and largest cryptography reference book. This compendium of information ...

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platfor...

Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and t...

If you are a programmer, you need this book.You've got a day to add a new feature in a 34,000-line program: Where do you start? Page 333How can you understand and simplify an inscrutable piece of code? Page 39Where do you start when disentangling a complicated build process? Page 167How do you comprehend code that appears to be doing five things in parallel? Page 132You may read code because you ...

C in 30 Pages is a brief e-booklet, designed to get you into the C programming language as fast as possible, as easily as possible. There is no bull in this Micro-Manual by popular online teacher U.Q. Magnusson. From the very first page you will learn the basic concepts of programming,including data, code, and control, and how they are expressed through C. Simple yet comprehensive examples follow as you zip through, and each is explained in pithy detail.

Recently, a new set of software development techniques has become available, collectively termed Aspect-Oriented Software Development (AOSD). This aims to support the modularization of systemic properties (also referred to as crosscutting concerns) and their subsequent composition with the other parts of a system.Rashid focuses on the use of Aspect-Oriented Programming (AOP) techniques to modularize otherwise broadly scoped features in database systems, such as the evolution or the...