Mats Aspnäs

According to our database, Mats Aspnäs authored at least 9 papers between 2006 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2016

Parallel flow accumulation algorithms for graphical processing units with application to RUSLE model.

Johan Sten, Harri Lilja, Jari Hyväluoma, Jan Westerholm, Mats Aspnäs

Comput. Geosci., 2016

2011

SSE Vectorized and GPU Implementations of Arakawa's Formula for Numerical Integration of Equations of Fluid Motion.

Evren Yurtesen, Matti Ropo, Mats Aspnäs, Jan Westerholm

Proceedings of the 19th International Euromicro Conference on Parallel, 2011

Parallel Optimisation Strategies for Fusion Codes.

Adrian Jackson, Fiona Reid, Stephen Booth, Joachim Hein, Jan Westerholm, Mats Aspnäs, Miquel Catala, Alejandro Soba

Proceedings of the 19th International Euromicro Conference on Parallel, 2011

2010

Parallelization, Spatial Decomposition and Load Balancing of a Single Tree Level Forest Dynamics Simulator.

Artur Signell, Johan Schöring, Mats Aspnäs, Jan Westerholm

Math. Comput. For. Nat. Resour. Sci., 2010

Code Optimization of the Subroutine to Remove Near Identical Matches in the Sequence Database Homology Search Tool PSI-BLAST.

Mats Aspnäs, Kimmo Mattila, Kristoffer Osowski, Jan Westerholm

J. Comput. Biol., 2010

EUFORIA HPC: Massive Parallelisation for Fusion Community.

Adrian Jackson, Adam C. Carter, Joachim Hein, Jan Westerholm, Mats Aspnäs, Matti Ropo, Alejandro Soba

Proceedings of the 18th Euromicro Conference on Parallel, 2010

2008

Scalable plasma simulation with ELMFIRE using efficient data structures for process communication.

Artur Signell, Francisco Ogando, Mats Aspnäs, Jan Westerholm

Comput. Phys. Commun., 2008

2007

An efficient swap algorithm for the lattice Boltzmann method.

Keijo Mattila, Jari Hyväluoma, Tuomo Rossi, Mats Aspnäs, Jan Westerholm

Comput. Phys. Commun., 2007

2006

Efficient Assembly of Sparse Matrices Using Hashing.

Mats Aspnäs, Artur Signell, Jan Westerholm

Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006