| Title |
Panda: A Compiler Framework for Concurrent CPU+GPU Execution of 3D Stencil Computations on GPU-accelerated Supercomputers
|
|---|---|
| Published in |
International Journal of Parallel Programming, October 2016
|
| DOI | 10.1007/s10766-016-0454-1 |
| Authors |
Mohammed Sourouri, Scott B. Baden, Xing Cai |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Professor | 1 | 7% |
| Other | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 73% |
| Business, Management and Accounting | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 1 | 7% |
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 05 October 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from International Journal of Parallel Programming
#136
of 170 outputs
Outputs of similar age
#201,415
of 319,517 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 3 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 11th percentile – i.e., 11% 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 319,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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