Fram evaluation as unified memory for convex optimization algorithms

Author

Cimini, Gionata ; Bemporad, Alberto ; Ippoliti, Gianluca ; Longhi, Sauro

Author_Institution

Univ. Politec. delle Marche, Ancona, Italy

fYear

2014

fDate

11-12 Sept. 2014

Firstpage

187

Lastpage

191

Abstract

Ferroelectric Random Access Memory (FRAM) by Texas Instruments (TI) is a non-volatile memory which allows lower power and faster data throughput compared to other non-volatile solutions. These features have accelerated the interest in this technology as the future of embedded unified memory, in particular in data logging, remote sensing and Wireless Sensor Network (WSN). The application of Model Predictive Control (MPC) in WSN has gained lot of attention in the last years and it requires solving convex optimization problems in real-time. In this paper several convex optimization algorithms have been implemented and compared on a FRAM-based MSP-EXP430FR5739 node by TI, to evaluate its suitability in extending the potentialities of onboard volatile Static Random Access Memory (SRAM) for embedded optimization-based control.

Keywords

convex programming; ferroelectric storage; random-access storage; FRAM evaluation; FRAM-based MSP-EXP430FR5739; SRAM; Texas Instruments; WSN; convex optimization algorithms; data logging; data throughput; embedded optimization-based control; embedded unified memory; ferroelectric random access memory; model predictive control; nonvolatile memory; nonvolatile solutions; onboard volatile static random access memory; remote sensing; wireless sensor network; Convex functions; Ferroelectric films; Nonvolatile memory; Random access memory; Resource management; Wireless communication; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Education and Research Conference (EDERC), 2014 6th European Embedded Design in

Conference_Location

Milano

Print_ISBN

978-1-4799-6841-1

Type

conf

DOI

10.1109/EDERC.2014.6924385

Filename

6924385