Cologne, Germany – April 19, 2017 - Silexica, the industry leader in multicore software design automation addressing complex, multicore platforms, is happy to announce the release of its new SLX Automotive Development package, which provides programming support for multicore automotive software. New features comprise source-level static/dynamic analysis and visualization of inter-component dependencies in automotive applications (i.e., dependencies across runnables and tasks), visualization of multicore runnable schedules, and compatibility with AUTOSAR configuration files, among others.

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Cologne, Germany – March 23, 2017 – Silexica, the industry leader in multicore software design automation addressing complex, multicore platforms, today announced they have expanded the SLX Tool Suite to include programming support for multicore automotive applications. The tools are currently in evaluation with early access customers and will be available for general release in Q2 2017.

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Palo Alto, CA – November 28, 2016 – Silexica, the industry leader in multicore software design automation addressing complex, multicore platforms, today announced they have completed an $8 million Series A round of financing led by Merus Capital.

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Saratoga, CA - November 16, 2016 - Silexica, the industry leader in multicore software design automation addressing complex, multicore platforms today announced that the next generation of the company's SLX Tool Suite is shipping now. The SLX Tool Suite has been broadly adopted to automate the distribution of code onto large, multicore platforms. Based upon customer feedback, enhancements were made to this new version, which includes the SLX Parallelizer, SLX Mapper, SLX Generator, and SLX Explorer, resulting in tremendous productivity advancements. The updated tool suite broadens the type and kinds of models, supports additional languages, as well as improves the ease-of-use and early risk analysis.

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El Dorado, CA – October 26, 2016 -Major Silexica contribution to new architecture description: Revamped version of software/hardware interface for multicore/manycore (SHIM) processors will enable accurate representation of performance and power modeling

 

 

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