The field of digital computer architecture has grown explosively in the past two decades.
Through a steady stream of experimental research, tool-building efforts, and theoretical
studies, the design of an instruction-set architecture, once considered an art, has been
transformed into one of the most quantitative branches of...
Parallel complexity theory, the study of resource-bounded parallel computation,
is surely one of the fastest-growing areas of theoretical Computer Science. In the
light of this, it would be foolish to attempt an encyclopedic coverage of the field.
However, it is the belief of the author that its foundations are becoming increas
ingly...
Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along...
The development of neural networks has now reached the stage where they are employed in a large variety of practical contexts. However, to date the majority of such implementations have been in software. While it is generally recognised that hardware implementations could, through performance advantages, greatly increase the use of neural...
For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.
Overview
Learn about all of the OpenCL Architecture and major APIs.
Learn to design, implement, measure, and improve DevOps programs that are tailored to your organization. This concise guide assists leaders who are accountable for the rapid development of high-quality software applications.
In DevOps for Digital Leaders, deep collective experience on both...
The most advanced systems that can emulate human thought
Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that...
Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, include Cabal and Stack for managing projects,...
Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...
This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.
Possibly the most comprehensive overview of computer graphics as seen in the context of geometric modelling, this two volume work covers implementation and theory in a thorough and systematic fashion. Computer Graphics and Geometric Modelling: Implementation and Algorithms, covers the computer graphics part of the field of geometric modelling and...
