- author = "J. Manuel Colmenar and Jose L. Risco-Martin and David Atienza and Oscar Garnica and J. Ignacio Hidalgo and Juan Lanchares",
- title = "Improving reliability of embedded systems through dynamic memory manager optimization using grammatical evolution",
- booktitle = "GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation",
- year = "2010",
- editor = "Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and Carsten Witt",
- isbn13 = "978-1-4503-0072-8",
- pages = "1227--1234",
- keywords = "genetic algorithms, genetic programming, grammatical evolution, genetic improvement, SBSE",
- month = "7-11 " # jul,
- organisation = "SIGEVO",
- address = "Portland, Oregon, USA",
-
DOI = "
doi:10.1145/1830483.1830705",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- abstract = "Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a number of problems like reliability degradation mechanisms. The intensive activity of devices and high operating temperatures are key factors for reliability degradation in latest technology nodes. Focusing on embedded systems, the memory is prone to suffer reliability problems due to the intensive use of dynamic memory on wireless and multimedia applications. In this work we present a new approach to automatically design dynamic memory managers considering reliability, and improving performance, memory footprint and energy consumption. Our approach, based on Grammatical Evolution, obtains a maximum improvement of 39percent in execution time, 38percent in memory usage and 50percent in energy consumption over state-of-the-art dynamic memory managers for several real-life applications. In addition, the resulting distributions of memory accesses improve reliability. To the best of our knowledge, this is the first proposal for automatic dynamic memory manager design that considers reliability. Categories and Subject",
-
notes = "evolves garbage collector DMM, C++, p1230 six line BNF
grammar given. Reliability fall assumed from increased
temperature due to concentrated memory usage. Fitness =
weighted sum of run time, bytes and energy used. GEVA
applied offline to multi gigabyte profiling logs from
VDrift and Physiscs3D.
\cite{DBLP:journals/todaes/AtienzaMMSC06}
Also known as \cite{1830705} GECCO-2010 A joint meeting of the nineteenth international conference on genetic algorithms (ICGA-2010) and the fifteenth annual genetic programming conference (GP-2010)",
