The 34 revised full papers presented were carefully selected during two rounds of reviewing and improvement from an initial total of 79 submissions. The wide-ranging topics...

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

This book analyzes energy and reliability as major challenges faced by designers of computing frameworks in the nanometer technology regime.  The authors describe the existing solutions to address these challenges and then reveal a new reconfigurable computing platform, which leverages high-density nanoscale memory for both data storage...

Now in its second edition, this invaluable reference explains why MDX (MulitDimensional eXpressions) is the most widely accepted software used for dimensional application. You'll learn how to build effective multidimensional data...

Contextual computing has been around for several years with a variety of names such as pervasive computation and omnipresent computing. Recently there has been a drive toward making personal digital assistants (PDAs) more aware of their environment. For example, a cell phone may sense that it is in a conference room and reason that it should...

• Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
• Become an expert in writing the most efficient and highest...