Guaranteed numerical precision of each elementary step in a complex computation has been the mainstay of traditional computing systems for many years. This era, fueled by Moore’s law and the constant exponential improvement in computing efficiency, is at its twilight: from tiny nodes of the Internet-of-Things, to large HPC computing centers, subpicoJoule/operation energy efficiency is essential for practical realizations. To overcome the power wall, a shift from traditional computing paradigms is now mandatory. In this paper we present the driving motivations, roadmap, and expected impact of the European project OPRECOMP. OPRECOMP aims to (i) develop the first complete transprecision computing framework, (ii) apply it to a wide range of hardware platforms, from the sub-milliWatt up to the MegaWatt range, and (iii) demonstrate impact in a wide range of computational domains, spanning IoT, Big Data Analytics, Deep Learning, and HPC simulations. By combining together into a seamless design transprecision advances in devices, circuits, software tools, and algorithms, we expect to achieve major energy efficiency improvements, even when there is no freedom to relax end-to-end application quality of results. Indeed, OPRECOMP aims at demolishing the ultraconservative “precise” computing abstraction, replacing it with a more flexible and efficient one, namely transprecision computing.

The transprecision computing paradigm: Concept, design, and applications / Malossi, A. Cristiano I.; Schaffner, Michael; Molnos, Anca; Gammaitoni, Luca; Tagliavini, Giuseppe; Emerson, Andrew; Tomas, Andres; Nikolopoulos, Dimitrios S.; Flamand, Eric; Wehn, Norbert. - ELETTRONICO. - (2018), pp. 1105-1110. (Intervento presentato al convegno Design, Automation and Test in Europe (DATE) tenutosi a Dresden, Germany nel 19-23 Marzo 2018) [10.23919/DATE.2018.8342176].

The transprecision computing paradigm: Concept, design, and applications

Tagliavini, Giuseppe;FLAMAND, ERIC;
2018

Abstract

Guaranteed numerical precision of each elementary step in a complex computation has been the mainstay of traditional computing systems for many years. This era, fueled by Moore’s law and the constant exponential improvement in computing efficiency, is at its twilight: from tiny nodes of the Internet-of-Things, to large HPC computing centers, subpicoJoule/operation energy efficiency is essential for practical realizations. To overcome the power wall, a shift from traditional computing paradigms is now mandatory. In this paper we present the driving motivations, roadmap, and expected impact of the European project OPRECOMP. OPRECOMP aims to (i) develop the first complete transprecision computing framework, (ii) apply it to a wide range of hardware platforms, from the sub-milliWatt up to the MegaWatt range, and (iii) demonstrate impact in a wide range of computational domains, spanning IoT, Big Data Analytics, Deep Learning, and HPC simulations. By combining together into a seamless design transprecision advances in devices, circuits, software tools, and algorithms, we expect to achieve major energy efficiency improvements, even when there is no freedom to relax end-to-end application quality of results. Indeed, OPRECOMP aims at demolishing the ultraconservative “precise” computing abstraction, replacing it with a more flexible and efficient one, namely transprecision computing.
2018
Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition (DATE)
1105
1110
The transprecision computing paradigm: Concept, design, and applications / Malossi, A. Cristiano I.; Schaffner, Michael; Molnos, Anca; Gammaitoni, Luca; Tagliavini, Giuseppe; Emerson, Andrew; Tomas, Andres; Nikolopoulos, Dimitrios S.; Flamand, Eric; Wehn, Norbert. - ELETTRONICO. - (2018), pp. 1105-1110. (Intervento presentato al convegno Design, Automation and Test in Europe (DATE) tenutosi a Dresden, Germany nel 19-23 Marzo 2018) [10.23919/DATE.2018.8342176].
Malossi, A. Cristiano I.; Schaffner, Michael; Molnos, Anca; Gammaitoni, Luca; Tagliavini, Giuseppe; Emerson, Andrew; Tomas, Andres; Nikolopoulos, Dimitrios S.; Flamand, Eric; Wehn, Norbert
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/643042
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