Multi-Processor System-on-Chip 1. Liliana Andrade

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Multi-Processor System-on-Chip 1 - Liliana Andrade


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the NVIDIA volta GPU architecture via microbenchmarking. ArXiv, abs/1804.06826.

      Johnson, J. (2018). Rethinking floating point for deep learning. ArXiv, abs/1811. 01721.

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      Resmerita, D., Farias, R.C., Dupont de Dinechin, B., and Fillatre, L. (2020). Benchmarking alternative floating-point formats for deep learning inference. Conférence francophone d’informatique en Parallélisme, Architecture et Système.

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      Wilhelm, R. and Reineke, J. (2012). Embedded systems: Many cores - Many problems. 7th IEEE International Symposium on Industrial Embedded Systems. Karlsruhe, Germany, June 20–22, 176–180.

      For a color version of all figures in this book, see www.iste.co.uk/andrade/multi1.zip.

      1 1. Numbers in each pair denote, respectively, the bit-width of the multiplicands and the accumulator.

      2 2. Motivated by saving the silicon area and not constrained by the architecture.

      3 3. http://portablecl.org/.

      4 4. Passing the OpenCL 1.2 conformance with PoCL is work in progress.

      5 5. https://www.ansys.com/products/embedded-software/ansys-scade-suite.

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