In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

March 13, 2007 Given the increasing use of algorithms, we expect many of our readers will rejoice at MathWorks newly announced introduction of two MATLAB builders that let application developers ...

Part 2 discusses the process of integrating Embedded MATLAB code into Simulink models as part of a Model-Based Design workflow. Many embedded developers are familiar with the idea-to-implementation ...

Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized ...

Algorithm developers like to use the MATLAB language to develop this sort of algorithm for several reasons. First, variables in MATLAB can be of many types including scalars, vectors and matrices, so ...

Over at the Nvidia Developer Zone, Daniel Armyr and Dan Doherty from MathWorks describe how you can use MATLAB to support your development of CUDA C and C++ kernels. While algorithms written for the ...

MATLAB, the language of engineers and scientists, is a programming environment for algorithm development, data analysis, visualization, and numeric computation.

MathWorks announced that BuildingIQ is using the data analytics capabilities in its MATLAB tool to speed the development and deployment of predictive algorithms for HVAC energy optimization.

MathWorks has unveiled a new product for generating portable C/C++ code directly from MATLAB. The MATLAB Coder generates standalone, portable and readable C and C++ code from MATLAB algorithms, ...

You must rewrite code to replace high-level functions and operators with low-level models that reflect the actual hardware macro-architecture. And simulation run times can be as much as 50 times ...