Manuel Arenaz is founder & CEO at Appentra Solutions. He holds a PhD on advanced compiler techniques for automatic parallelization of scientific codes. After 10+ years teaching parallel programming at undergraduate and PhD levels, he co-founded Appentra, a Deep Tech company that offers the next-generation AI-powered static code analysis platform, specifically designed to boost the performance of applications running on every device. The solutions focus on automation, reducing costs, reducing delays, and implementation issues associated with underperforming software.
Appentra is a Deep Tech company offering the next-generation AI-powered static code analysis platform: Parallelware Analyzer, the first static code analyzer that is designed specifically to boost the performance of C/C++ code. Earlier generations of source code analysis tools are limited to bug detection, coding standard enforcement or security, possibly even a combination of this functionality. While important, nothing is done to ensure that the code is written to take advantage of modern hardware capabilities offered by chip manufacturers in the low-power multicore processors. By using Parallelware Analyzer, leverage the expertise of the senior performance optimization engineers and deliver significantly faster applications, in the order of magnitude of 3x-4x. Clearly, the benefits are huge to C/C++ applications in the scope of mission and business critical industries such as Aerospace, Automotive, Telecommunications, and Semiconductors.