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 |
Improving Memory Affinity of Geophysics Applications on NUMA Platforms Using Minas
|
---|---|
Chapter number | 27 |
Book title |
High Performance Computing for Computational Science – VECPAR 2010
|
Published by |
Springer, Berlin, Heidelberg, June 2010
|
DOI | 10.1007/978-3-642-19328-6_27 |
Book ISBNs |
978-3-64-219327-9, 978-3-64-219328-6
|
Authors |
Christiane Pousa Ribeiro, Márcio Castro, Jean-François Méhaut, Alexandre Carissimi, Pousa Ribeiro, Christiane, Castro, Márcio, Méhaut, Jean-François, Carissimi, Alexandre |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 14% |
France | 1 | 14% |
Brazil | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 29% |
Student > Doctoral Student | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Researcher | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Other | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 100% |