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Task Allocation with Algorithm Transformation for Reducing Data-Transfer Bottlenecks in Heterogeneous Multi-Core Processors: A Case Study of HOG Descriptor Computation

Overview of attention for article published in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Part A), December 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
Task Allocation with Algorithm Transformation for Reducing Data-Transfer Bottlenecks in Heterogeneous Multi-Core Processors: A Case Study of HOG Descriptor Computation
Published in
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Part A), December 2010
DOI 10.1587/transfun.e93.a.2570
Authors

Hasitha Muthumala WAIDYASOORIYA, Daisuke OKUMURA, Masanori HARIYAMA, Michitaka KAMEYAMA

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Materials Science 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 December 2017.
All research outputs
#8,731,423
of 25,850,671 outputs
Outputs from IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Part A)
#100
of 382 outputs
Outputs of similar age
#58,525
of 193,234 outputs
Outputs of similar age from IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Part A)
#15
of 29 outputs
Altmetric has tracked 25,850,671 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 382 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 23rd percentile – i.e., 23% 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 193,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.