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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Low Power Methods for GPU Design Optimizations

Authors: Apoorva Reddy Proddutoori;

Low Power Methods for GPU Design Optimizations

Abstract

The paper comprises of modern-day low power solutions to enhance the design of graphics processing unit (GPU). The change in the design to low voltage distribution network will allow the GPU to sweep bi-directionally, increasing the scope of the parallelization of the load. This indeed can be achieved by optimally determining and controlling the data load. Further, irrelevant data load can lead to the lagged processor and lead to potential increase in the memory bandwidth. Higher bandwidth of memory directly leads to more power consumption rising the energy consumed. Therefore, reducing the data traffic results in better and faster design. This paper highlights the procedures to reduce the data traffic for newly innovated applications, focusing the improvement and efficiency of the architecture.

Keywords

Graphics Processor Unit, Power, LVDN, CMA

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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!
0
Average
Average
Average
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