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Conference object . 2018
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Conference object . 2018
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https://doi.org/10.23919/date....
Article . 2018 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2021
Data sources: DBLP
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Supporting runtime reconfigurable VLIWs cores through dynamic binary translation

Authors: Rokicki, Simon; Rohou, Erven; Derrien, Steven;

Supporting runtime reconfigurable VLIWs cores through dynamic binary translation

Abstract

Single ISA-Heterogeneous multi-cores such as the ARM big.LITTLE have proven to be an attractive solution to explore different energy/performance trade-offs. Such architec-tures combine Out of Order cores with smaller in-order ones to offer different power/energy profiles. They however do not really exploit the characteristics of workloads (compute-intensive vs. control dominated). In this work, we propose to enrich these architectures with runtime configurable VLIW cores, which are very efficient at compute-intensive kernels. To preserve the single ISA programming model, we resort to Dynamic Binary Translation , and use this technique to enable dynamic code specialization for Runtime Reconfigurable VLIWs cores. Our proposed DBT framework targets the RISC-V ISA, for which both OoO and in-order implementations exist. Our experimental results show that our approach can lead to best-case performance and energy efficiency when compared against static VLIW configurations.

Country
France
Keywords

[INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-ES] Computer Science [cs]/Embedded Systems

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    popularity
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    influence
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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!
1
Average
Average
Average
Green