Smart Multicore Embedded systems
The mission of SMECY is to develop new programming technologies enabling the exploitation of many (100s) core architectures. The goal of this ARTEMIS project is to launch an ambitious European initiative to match initiatives in Asia and USA and to enable Europe to become the leader.
The vision of the SMECY consortium is that a holistic approach for the integration of multi-core SoC and embedded software technologies is required. Then, the mission of the project is to develop programming and design methods, multi-core architectural solutions and associated supporting tools enabling the exploitation of many (100s) core architectures.
The joint goals of SMECY are to develop new programmable architectural solutions based on multi-core technology, and associated supporting tools in order to master complete system design of future smart multi-core embedded systems. The hardware platforms and the development tools developed in the project will be demonstrated and evaluated for a certain set of representative applications provided by industrial partners of SMECY, such as radar systems, video/audio treatments and energy efficient wireless communication systems.
R & D innovation
The key outcomes of the SMECY project are programming and design methods, multi-core programmable architectural solutions and associated supporting tools that enable a holistic integration of multi-core SoC design and embedded software to master smart system design of future smart multi-core embedded systems in different applications, e.g. consumer, wireless, communication and transportation.
Industrial relevance / Potential applications and future issues
Although the approaches are expected to be applicable in several application contexts, the design methodologies and flows specifically investigated in the SMECY project will address the following application domains:
- Consumer electronics
The results of this project will enable the handling of more complex application in shorter time with reduced cost. We expect 10x improvement of cost and 100x of complexity allowing a big step towards mastering upcoming terascale and petascale computing.