| Title |
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
|
|---|---|
| Published in |
International Journal of Parallel Programming, January 2011
|
| DOI | 10.1007/s10766-010-0161-2 |
| Authors |
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon, Zbigniew Chamski, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Bilha Mendelson, Ayal Zaks, Eric Courtois, Francois Bodin, Phil Barnard, Elton Ashton, Edwin Bonilla, John Thomson, Christopher K. I. Williams, Michael O’Boyle |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Sweden | 1 | <1% |
| Ukraine | 1 | <1% |
| Australia | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 102 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 37% |
| Student > Master | 20 | 17% |
| Researcher | 13 | 11% |
| Student > Bachelor | 9 | 8% |
| Lecturer | 4 | 3% |
| Other | 13 | 11% |
| Unknown | 15 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 85 | 72% |
| Engineering | 7 | 6% |
| Business, Management and Accounting | 3 | 3% |
| Physics and Astronomy | 2 | 2% |
| Mathematics | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 15 | 13% |
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 30 April 2020.
All research outputs
#4,710,483
of 22,849,304 outputs
Outputs from International Journal of Parallel Programming
#7
of 170 outputs
Outputs of similar age
#31,587
of 180,936 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 2 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 86% 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 180,936 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 78% of its contemporaries.
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. This one has scored higher than all of them