PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Moreno, Andreu"

Author of the publication

copydeleteadd this publication to your clipboard
Dynamic Pipeline Mapping (DPM).

, , , , , and . Euro-Par, volume 5168 of Lecture Notes in Computer Science, page 295-304. Springer, (2008)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Joseba Moreno Mendaza University of Stuttgart

Dr. Nicolas Moreno Gomez University of Stuttgart

 

Other publications of authors with the same name

Designing a benchmark for the performance evaluation of agent-based simulation applications on HPC., , , , , and . The Journal of Supercomputing, 75 (3): 1524-1550 (2019)Modeling Master/Worker applications for automatic performance tuning., , , and . Parallel Computing, 32 (7-8): 568-589 (2006)Task distribution using factoring load balancing in Master-Worker applications., , , , and . Inf. Process. Lett., 109 (16): 902-906 (2009)Dynamic tuning of the workload partition factor and the resource utilization in data-intensive applications., , , , , and . Future Generation Comp. Syst., (2014)Dynamic Pipeline Mapping (DPM)., , , , , and . Euro-Par, volume 5168 of Lecture Notes in Computer Science, page 295-304. Springer, (2008)Dynamic Tuning of the Workload Partition Factor in Data-Intensive Applications., , , , and . HPCC-ICESS, page 216-223. IEEE Computer Society, (2012)Performance Model for Master/Worker Hybrid Applications on Multicore Clusters., , , and . HPCC/EUC, page 210-217. IEEE, (2013)A Performance Tuning Strategy for Complex Parallel Application., , , , , and . PDP, page 103-110. IEEE Computer Society, (2010)Load balancing in homogeneous pipeline based applications., , , , and . Parallel Computing, 38 (3): 125-139 (2012)Predicting Performance of Hybrid Master/Worker Applications Using Model-Based Regression Trees., , , and . HPCC/CSS/ICESS, page 355-362. IEEE, (2014)