Design Automation


New versions of MATLAB and Simulink

14 August 2002 Design Automation

The Mathworks has released MATLAB 6.5. This latest offering, available through Opti-Num Solutions in southern Africa, includes new JIT Acceleration, which provides faster execution, making MATLAB 6.5 a powerful alternative to manual coding in C for technical computing applications. Simulink 5 provides new support for multi-domain modelling and simulation coupled with embedded target support, creating an environment for the end-to-end process of embedded system design. Release 13 of the Mathworks product family also includes 10 new products and upgrades of more than 40 other products.

"With Release 13, The Mathworks takes a major step to eliminate the performance gap between MATLAB and languages such as C, C++, and FORTRAN for engineering and scientific applications. For developers of embedded systems, Simulink 5 delivers powerful new capabilities for developing and deploying realtime systems in a production process," said Jack Little, CEO, The Mathworks.

MATLAB is recognised as a de facto industry-standard environment for productively exploring technical ideas and developing algorithms that solve complex problems. With the new built-in JIT-Accelerator technology, MATLAB 6.5 programs also run much faster. Users can skip the additional step needed to recode work in C, says The Mathworks. They can use a single environment throughout their projects, with the option to automatically deploy algorithms and applications as C/C++ code, Excel add-ins, and COM objects.

Simulink addresses the end-to-end development process from system-level modelling to embedded-software code generation. Simulink 5 provides new capabilities including multidomain modelling for mechanical, electrical power, and wireless systems; production code generation for microcontrollers; and, major improvements in DSP code generation. According to the company these enhancements address the key steps in embedded-system development, including modelling the physical behaviours of real systems, designing software algorithms, and generating code that is as efficient and compact as hand-written code for target processors.



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