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FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?

Overview of attention for article published in ACM Transactions on Reconfigurable Technology and Systems, October 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
25 Mendeley
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Title
FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
Published in
ACM Transactions on Reconfigurable Technology and Systems, October 2023
DOI 10.1145/3613963
Authors

Anouar Nechi, Lukas Groth, Saleh Mulhem, Farhad Merchant, Rainer Buchty, Mladen Berekovic

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 5 20%
Unspecified 3 12%
Lecturer > Senior Lecturer 1 4%
Student > Master 1 4%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Engineering 8 32%
Computer Science 8 32%
Unspecified 3 12%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2023.
All research outputs
#15,247,983
of 24,975,223 outputs
Outputs from ACM Transactions on Reconfigurable Technology and Systems
#90
of 159 outputs
Outputs of similar age
#145,664
of 337,317 outputs
Outputs of similar age from ACM Transactions on Reconfigurable Technology and Systems
#3
of 4 outputs
Altmetric has tracked 24,975,223 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 159 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,317 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.