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CSA Guide to Cloud Computing brings you the most current and comprehensive understanding of cloud security issues and deployment techniques from industry thought leaders at the Cloud Security Alliance (CSA).

For many years the CSA has been at the forefront of research and analysis into the most pressing security and privacy related issues associated with cloud computing. CSA Guide to Cloud Computing provides you with a one-stop source for industry-leading content, as well as a roadmap into the future considerations that the cloud presents.

The authors of CSA Guide to Cloud Computing provide a wealth of industry expertise you won't find anywhere else. Author Raj Samani is the Chief Technical Officer for McAfee EMEA; author Jim Reavis is the Executive Director of CSA; and author Brian Honan is recognized as an industry leader in the ISO27001 standard. They will walk you through everything you need to understand to implement a secure cloud computing structure for your enterprise or organization.

• Your one-stop source for comprehensive understanding of cloud security from the foremost thought leaders in the industry
• Insight into the most current research on cloud privacy and security, compiling information from CSA's global membership
• Analysis of future security and privacy issues that will impact any enterprise that uses cloud computing

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: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan.

The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries.

Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.

• Includes multiple examples building from simple to more complex applications in four key areas: machine learning, visualization, vision recognition, and mobile computing
• Addresses the foundational issues for CUDA development: multi-threaded programming and the different memory hierarchy
• Includes teaching chapters designed to give a full understanding of CUDA tools, techniques and structure.
• Presents CUDA techniques in the context of the hardware they are implemented on as well as other styles of programming that will help readers bridge into the new material