Author: Mike Holt
Publisher:
ISBN: 9781950431076
Category :
Languages : en
Pages :
Book Description
Mike Holt's Illustrated Guide to Understanding the National Electrical Code Volume 1, Based on 2020 NEC
Mike Holt's Understanding the 2020 NEC Volume 1 and 2 Textbook Set
Mike Holt's Illustrated Guide to Understanding the National Electrical Code Volume 2, Based on 2020 NEC
Mike Holt's Illustrated Guide to Understanding the National Electrical Code Volume 1, Based on the 2023 NEC
Mike Holt's WORKBOOK to Accompany Illustrated Guide to Understanding the National Electrical Code, Volume 1, Based on 2017 NEC
Mike Holt's Illustrated Guide to to Electrical Exam Preparation 2011 Edition
Author: Mike Holt Enterprises, Incorporated
Publisher:
ISBN: 9781932685633
Category : Electrical engineering
Languages : en
Pages : 660
Book Description
Publisher:
ISBN: 9781932685633
Category : Electrical engineering
Languages : en
Pages : 660
Book Description
Mike Holt's Illustrated Guide to Electrical Exam Preparation, Based on the 2017 NEC
Mike Holt's Illustrated Guide to Basic Electrical Theory 3rd Edition
Author: Charles Michael Holt
Publisher:
ISBN: 9781932685398
Category : Electric circuits
Languages : en
Pages : 350
Book Description
Publisher:
ISBN: 9781932685398
Category : Electric circuits
Languages : en
Pages : 350
Book Description
Programming Massively Parallel Processors
Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519
Book Description
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
Publisher: Newnes
ISBN: 0123914183
Category : Computers
Languages : en
Pages : 519
Book Description
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