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https://doi.org/10.1109/icecs4...
Article . 2019 . Peer-reviewed
License: STM Policy #29
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Digital Signal Processing Accelerator for RISC-V

Authors: Calicchia L.; Ciotoli V.; Cardarilli G. C.; Di Nunzio L.; Fazzolari R.; Nannarelli A.; Re M.;

Digital Signal Processing Accelerator for RISC-V

Abstract

In this work, we present a configurable accelerator for the RISC-V processor oriented to digital signal processing applications for energy efficient Internet-of-Things devices. The supported operations in the accelerator are addition, multiplication, and linear combination. The accelerator can support different applications: mono-dimensional and bi-dimensional filtering and pattern matching. The results show that the configurable accelerator offers better performance and lower energy consumption when compared to the software execution of the same application on the RISC-V.

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    citations
    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).
    14
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
14
Top 10%
Top 10%
Top 10%