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Mendeley readers
| Chapter title |
Diagnosing Performance Variations in HPC Applications Using Machine Learning
|
|---|---|
| Chapter number | 19 |
| Book title |
High Performance Computing
|
| Published by |
Springer, Cham, June 2017
|
| DOI | 10.1007/978-3-319-58667-0_19 |
| Book ISBNs |
978-3-31-958666-3, 978-3-31-958667-0
|
| Authors |
Ozan Tuncer, Emre Ates, Yijia Zhang, Ata Turk, Jim Brandt, Vitus J. Leung, Manuel Egele, Ayse K. Coskun, Tuncer, Ozan, Ates, Emre, Zhang, Yijia, Turk, Ata, Brandt, Jim, Leung, Vitus J., Egele, Manuel, Coskun, Ayse K. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 36% |
| Student > Master | 7 | 16% |
| Researcher | 5 | 11% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 48% |
| Engineering | 9 | 20% |
| Unspecified | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 9 | 20% |