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Performance analysis of deep learning workloads using roofline trajectories

Overview of attention for article published in CCF Transactions on High Performance Computing, November 2019
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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8 Mendeley
Title
Performance analysis of deep learning workloads using roofline trajectories
Published in
CCF Transactions on High Performance Computing, November 2019
DOI 10.1007/s42514-019-00018-4
Authors

M. Haseeb Javed, Khaled Z. Ibrahim, Xiaoyi Lu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Student > Bachelor 2 25%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 1 13%
Design 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 November 2019.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from CCF Transactions on High Performance Computing
#12
of 15 outputs
Outputs of similar age
#391,317
of 464,669 outputs
Outputs of similar age from CCF Transactions on High Performance Computing
#2
of 2 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 3 of them.
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 464,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.