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.
Mendeley readers
| Chapter title |
Selecting the Best Compiler Optimizations: A Bayesian Network Approach
|
|---|---|
| Chapter number | 3 |
| Book title |
Automatic Tuning of Compilers Using Machine Learning
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-71489-9_3 |
| Book ISBNs |
978-3-31-971488-2, 978-3-31-971489-9
|
| Authors |
Amir H. Ashouri, Gianluca Palermo, John Cavazos, Cristina Silvano |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Professor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Student > Doctoral Student | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 50% |
| Unspecified | 1 | 17% |
| Psychology | 1 | 17% |
| Unknown | 1 | 17% |