MNEMEE: a framework for memory management and optimization of static and dynamic data in MPSoCsAs embedded systems are becoming the center of our digital life, system design becomes progressively harder. The integration of multiple features on devices with limited resources requires careful and exhaustive exploration of the design search space in order to efficiently map modern applications to an embedded multi-processor platform. The MNEMEE project  addresses this challenge by offering a unique integrated tool flow that performs source-to-source transformations to automatically optimize the original source code and map it on the target platform. The optimizations aim at reducing the number of memory accesses and the required memory storage of both dynamically and statically allocated data. Furthermore, the MNEMEE tool flow performs optimal assignment of all data on the memory hierarchy of the target platform. Overall, the MNEMEE techniques embedded in it will lead to more cost efficient systems that offer a better performance and lower energy consumption.
This tutorial gives an overview of the MNEMEE tool flow. The objective of the tutorial is to familiarize the audience with the tool framework and the optimizations used in the individual tools. The tutorial also features a demonstration of the tool flow. This demonstration shows that the tools developed in the MNEMEE project provide a user-friendly and efficient framework for MPSoC programming and memory management.
- MNEMEE: a framework for memory management and optimization of static and dynamic data in MPSoCs
Arindam Mallik, Peter Marwedel, Dimitrios Soudris, and Sander Stuijk
In international conference on Compilers, architectures and synthesis for embedded systems, CASES 10, Proceedings, pages 257-258. Scottsdale, Az, USA, 24-29 October, 2010. ACM Press, New York, NY, USA 2010. (abstract, pdf, doi).