Kamis, 06 Februari 2014

Wow! eBook: Accelerating MATLAB with GPU Computing - 5 new eBooks


Wow! eBook: Accelerating MATLAB with GPU Computing - 5 new eBooks

Link to Wow! eBook

Accelerating MATLAB with GPU Computing

Posted: 06 Feb 2014 04:05 AM PST

Book Description

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap.

Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products.  Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers’ projects.  Download example codes from the publisher’s website: http://booksite.elsevier.com/9780124080805/

  • Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge
  • Explains the related background on hardware, architecture and programming for ease of use
  • Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects

Table of Contents
Chapter 1. Accelerating MATLAB without GPU
Chapter 2. Configurations for MATLAB and CUDA
Chapter 3. Optimization Planning through Profiling
Chapter 4. CUDA coding with C-MEX
Chapter 5. MATLAB with Parallel Computing Toolbox
Chapter 6. Using CUDA-Accelerated Libraries
Chapter 7. Example in Computer Graphics: 3D Surface Reconstruction using Marching Cubes
Chapter 8. Example in 3D Image Processing: Atlas-based Segmentation

Appendix 1. Download and install CUDA library
Appendix 2. Installing NVIDIA Nsight into Visual Studio

Book Details

  • Paperback: 258 pages
  • Publisher: Morgan Kaufmann (December 2013)
  • Language: English
  • ISBN-10: 0124080804
  • ISBN-13: 978-0124080805
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High Performance Deformable Image Registration Algorithms for Manycore Processors

Posted: 06 Feb 2014 04:00 AM PST

Book Description

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.

This book demonstrates:

  • How to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms
  • How to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs
  • Programming “tricks” that can help readers develop other image processing algorithms, including registration algorithms for the GPU

Table of Contents
Chapter 1. Introduction
Chapter 2. Overview of Image Registration Algorithms
Chapter 3. Deformable Registration using Optical Flow Methods
Chapter 4. Uni-Modal B-spline Registration
Chapter 5. Multi-Modal B-spline Registration
Chapter 6. Analytic Vector Field Regularization
Chapter 7. Plastimatch – An Open Source Software Suite for Image Reconstruction and Registration

Book Details

  • Paperback: 122 pages
  • Publisher: Morgan Kaufmann (July 2013)
  • Language: English
  • ISBN-10: 0124077412
  • ISBN-13: 978-0124077416
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Big Data Analytics

Posted: 06 Feb 2014 03:56 AM PST

Book Description

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.

  • Guides the reader in assessing the opportunities and value proposition
  • Overview of big data hardware and software architectures
  • Presents a variety of technologies and how they fit into the big data ecosystem

Table of Contents
Chapter 1. Market and Business Drivers for Big Data Analytics
Chapter 2. Business Problems Suited to Big Data Analytics
Chapter 3. Achieving Organizational Alignment for Big Data Analytics
Chapter 4. Developing a Strategy for Integrating Big Data Analytics into the Enterprise
Chapter 5. Data Governance for Big Data Analytics: Considerations for Data Policies and Processes
Chapter 6. Introduction to High-Performance Appliances for Big Data Management
Chapter 7. Big Data Tools and Techniques
Chapter 8. Developing Big Data Applications
Chapter 9. NoSQL Data Management for Big Data
Chapter 10. Using Graph Analytics for Big Data
Chapter 11. Developing the Big Data Roadmap

Book Details

  • Paperback: 142 pages
  • Publisher: Morgan Kaufmann (August 2013)
  • Language: English
  • ISBN-10: 0124173195
  • ISBN-13: 978-0124173194
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User Interface Inspection Methods

Posted: 06 Feb 2014 03:51 AM PST

Book Description

User Interface Inspection Methods succinctly covers five inspection methods: heuristic evaluation, perspective-based user interface inspection, cognitive walkthrough, pluralistic walkthrough, and formal usability inspections.

Heuristic evaluation is perhaps the best-known inspection method, requiring a group of evaluators to review a product against a set of general principles. The perspective-based user interface inspection is based on the principle that different perspectives will find different problems in a user interface. In the related persona-based inspection, colleagues assume the roles of personas and review the product based on the needs, background, tasks, and pain points of the different personas. The cognitive walkthrough focuses on ease of learning.

Most of the inspection methods do not require users; the main exception is the pluralistic walkthrough, in which a user is invited to provide feedback while members of a product team listen, observe the user, and ask questions.

After reading this book, you will be able to use these UI inspection methods with confidence and certainty.

Table of Contents
Chapter 1. Heuristic Evaluation
Chapter 2. Perspective-Based User Interface Inspection
Chapter 3. Cognitive Walkthrough
Chapter 4. Pluralistic Walkthrough
Chapter 5. Formal Usability Inspections

Book Details

  • Paperback: 146 pages
  • Publisher: Morgan Kaufmann (November 2013)
  • Language: English
  • ISBN-10: 012410391X
  • ISBN-13: 978-0124103917
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Credible Checklists and Quality Questionnaires

Posted: 06 Feb 2014 03:49 AM PST

Book Description

Credible Checklists and Quality Questionnaires starts off with an examination of the critical but commonly overlooked checklist method.

In the second chapter, questionnaires and surveys are discussed. Asking questions sounds simple, but the hard truth is that asking questions (and designing questionnaires) is a difficult task. This chapter discusses being mindful of the choice of words, order of questions and how early questions influence later questions, answer scales and how they impact the user response, questionnaire design, and much more.

The final chapter provides examples of some common questionnaires (both free and fee-based) for assessing the usability of products.

After reading this book, readers will be able to use these user design tools with greater confidence and certainty.

Table of Contents
Chapter 1. Checklists
Chapter 2. Questionnaires and Surveys
Chapter 3. Standard Usability Questionnaires

Book Details

  • Paperback: 102 pages
  • Publisher: Morgan Kaufmann (August 2013)
  • Language: English
  • ISBN-10: 0124103928
  • ISBN-13: 978-0124103924
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