Vector Fabrics links up with Thales to ease parallel software development

Commenting Mike Beunder, CEO of Vector Fabrics said: “Writing multicore and parallel software is extremely difficult, bordering on the impossible. We often say you need to be a ninja or black belt programmer to complete such a mission. We’re excited to be working together with these industry and academic leaders to further enhance our development tools that allow every software developer to become such a ninja programmer.”

Prof. Albert Cohen from INRIA and École Normale Supérieure said: “Embedded system designers are getting increasingly involved in target-specific adaptation for complex multiprocessor systems-on-chip (MPSoC). To preserve functional correctness of the applications from these manual optimizations, the PHARAON project (Parallel and Heterogeneous Architectures for Real-time ApplicatiONs), supported by the European Commission, advocates for sound concurrency and software engineering practices, driven by a new generation of analysis and code generation tools.”

Working together as a team, Vector Fabrics and Thales will look to assist the designer in finding the most suitable software architecture taking into account hardware constraints. Accompanying the effort are Politecnico di Torino (Italy), École Normale Supérieure and INRIA (France), Interuniversitair Micro-Electronica Centrum (Belgium), University of Cantabria (Spain) and Tedesys (Spain).

The group’s tools will be capable of evaluating the parallel structure of an application and propose improvements, handle communications between different processors and generate the multi-processor embedded code. In addition, a set of techniques and tools will impact the runtime behaviour of the application. The objective is to adapt the performance of the platform, for example by adjusting the frequency and voltage, in order to consume only the required energy to perform a specific task.

In order to warrant the real-world applicability of these newly-developed tools and software, the three-year project will develop proof-of-concept demonstrations in two application domains: lower-power, higher-quality digital radio communications and image vision for automotive applications, such as stereoscopic camera-based obstacle detection and collision avoidance. The overall target is to reduce software development cost by 25% and decrease the power consumption of embedded systems by nearly 20%.

Vector Fabrics

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