Innovative Integration
Innovative Integration provides board-level hardware products that integrate the best analog I/O and reconfigurable FPGAs to provide cost-effective solutions for challenging data acquisition and signal processing applications.

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	MathWorks Announces Built-in Simulink Support for Arduino, BeagleBoard, and LEGO MINDSTORMS NXT | MathWorks Announces Release 2012a of the MATLAB and Simulink Product Families . . . last week's e-clips alert for optimization
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Innovative Integration provides board-level hardware products that integrate the best analog I/O and reconfigurable FPGAs to provide cost-effective solutions for challenging data acquisition and signal processing applications.

Definition: Compiler optimization is the process of tuning the output of a compiler to minimize or maximize some attribute of an executable program. The most common requirement is to minimize the time taken to execute a program; a less common one is to minimize the amount of memory occupied, and the growth of portable computers has created a market for minimizing the power consumed by a program. It has been shown that some code optimization problems are NP-complete. In practice, factors such as programmer willingness to wait for the compiler to complete its task place upper limits on the optimizations that a compiler implementor might provide (optimization is a very CPU and memory intensive process). In the past computer memory limitations were also a major factor in limiting which optimizations could be performed. Source: Wikipedia (http://en.wikipedia.org/wiki/Compiler_optimization)