Compliance with the National Electrical Code® is a major concern for today's engineers, designers and electricians. On the one hand, you need to keep job costs down. On the other hand, your electrical projects must meet code. And if you are an electrical inspector, you've got to ensure compliance with the Code in a way that is fair, accurate, equitable, and consistent. The need to understand and accurately apply the NEC is great. How can you make sure you get this right? Mike Holt's Illustrated Guide to Understanding the National Electrical Code takes you step-by-step through NEC® article and contains a clear writing style, author's comments, and the detailed full-color illustrations that help you visualize the concepts being discussed. The chapter questions help you test your knowledge as you go. This book sets the standard in NEC® education, and is used extensively throughout the country.

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing