↓ Skip to main content

PARALiA: A Performance Aware Runtime for Auto-tuning Linear Algebra on Heterogeneous Systems

Overview of attention for article published in ACM Transactions on Architecture and Code Optimization, December 2023
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
3 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
PARALiA: A Performance Aware Runtime for Auto-tuning Linear Algebra on Heterogeneous Systems
Published in
ACM Transactions on Architecture and Code Optimization, December 2023
DOI 10.1145/3624569
Authors

Petros Anastasiadis, Nikela Papadopoulou, Georgios Goumas, Nectarios Koziris, Dennis Hoppe, Li Zhong

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Master 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 January 2024.
All research outputs
#6,550,921
of 25,734,859 outputs
Outputs from ACM Transactions on Architecture and Code Optimization
#71
of 391 outputs
Outputs of similar age
#88,687
of 360,105 outputs
Outputs of similar age from ACM Transactions on Architecture and Code Optimization
#1
of 5 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 391 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 81% of its peers.
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 360,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them