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Mendeley readers
Chapter title |
Exploiting Data Sparsity for Large-Scale Matrix Computations
|
---|---|
Chapter number | 51 |
Book title |
Euro-Par 2018: Parallel Processing
|
Published by |
Springer, Cham, August 2018
|
DOI | 10.1007/978-3-319-96983-1_51 |
Book ISBNs |
978-3-31-996982-4, 978-3-31-996983-1
|
Authors |
Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David Keyes, Akbudak, Kadir, Ltaief, Hatem, Mikhalev, Aleksandr, Charara, Ali, Esposito, Aniello, Keyes, David |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 30% |
Researcher | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Student > Bachelor | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 70% |
Engineering | 2 | 20% |
Unknown | 1 | 10% |