MPC Related Computational Capabilities of ARMv7A Processors

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2015

DOI

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In recent years, the mass market of mobile devices has pushed the demand for increasingly fast but cheap processors. ARM, the world leader in this sector, has developed the Cortex-A series of processors with focus on computationally intensive applications. If properly programmed, these processors are powerful enough to solve the complex optimization problems arising in MPC in real-time, while keeping the traditional low-cost and low-power consumption. This makes these processors ideal candidates for use in embedded MPC. In this paper, we investigate the floating-point capabilities of Cortex A7, A9 and A15 and show how to exploit the unique features of each processor to obtain the best performance, in the context of a novel implementation method for the linear-algebra routines used in MPC solvers. This method adapts high-performance computing techniques to the needs of embedded MPC. In particular, we investigate the performance of matrix-matrix and matrix-vector multiplications, which are the backbones of second- and first-order methods for convex optimization. Finally, we test the performance of MPC solvers implemented using these optimized linear-algebra routines.
Original languageEnglish
Title of host publicationProceedings of the European Control Conference (ECC 2015)
PublisherIEEE
Publication date2015
Pages3414-3421
ISBN (print)978-3-9524269-3-7
DOIs
StatePublished - 2015
Event14th European Control Conference (ECC 2015) - Linz, Austria

Conference

Conference14th European Control Conference (ECC 2015)
Number15
LocationJohannes Kepler University
CountryAustria
CityLinz
Period15/07/201517/07/2015
Internet address
CitationsWeb of Science® Times Cited: No match on DOI
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