Evolutionary architecture design for approximate DCT

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@InProceedings{Azaraien:2017:CADS,

• author = "Abbas Azaraien and Babak Djalaei and Mostafa E. Salehi",
• booktitle = "2017 19th International Symposium on Computer Architecture and Digital Systems (CADS)",
• title = "Evolutionary architecture design for approximate DCT",
• year = "2017",
• abstract = "Discrete Cosine Transform (DCT) which has a major role in image and video compression has also a major role in power consumption. Approximate Computing let us trade precision to save power in error resilient applications such as multimedia. Therefore, DCT is a potential candidate for approximation. In this paper, we propose a method for evolutionary design of DCT architecture exploiting the inherent behaviour of DCT. Unlike the prior works on DCT approximation, which concentrated mostly on optimizing, replacing, or removing less effective building blocks of DCT, in our proposed method we use the evolutionary method to find new structures for DCT. According to the results, the evolution methods lead to architectures with less area and acceptable accuracy.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CADS.2017.8310731",
• ISSN = "2325-937X",
• month = dec,
• notes = "Also known as \cite{8310731}",

}

Genetic Programming entries for Abbas Azaraien Babak Djalaei Mostafa E Salehi

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