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Hardware and Software Support for Mixed Precision Computing: a Roadmap for Embedded and HPC Systems

Authors: Fornaciari W.; Agosta G.; Cattaneo D.; Denisov L.; Galimberti A.; Magnani G.; Zoni D.;

Hardware and Software Support for Mixed Precision Computing: a Roadmap for Embedded and HPC Systems

Abstract

Mixed precision is an approximate computing technique that can be used to trade-off computation accuracy for performance and/or energy. It can be applied to many error-tolerant applications, but manual precision tuning is both tedious and error-prone. Furthermore, the effectiveness of the technique heavily depends on hardware characteristics. Therefore, a hardware/software co-design approach is necessary for an effective exploitation of precision tuning opportunities offered by the applications. In this paper, we propose, based on the state of the art of precision tuning software and mixed precision hardware, a roadmap for the evolution of hardware designs and compiler-based precision tuning support, which is ongoing in the context of the European projects TEXTAROSSA and APROPOS.

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Italy
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Keywords

mixed precision, hardware/software co-design, Embedded systems , Approximate computing , Hardware , Software , Precision Tuning, high-performance computing, approximate computing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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3
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