Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Brumm, Johannes
and
Scheidegger, Simon
2013.
Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models.
SSRN Electronic Journal,
Aldrich, Eric M.
2013.
GPU Computing in Economics.
SSRN Electronic Journal,
Sankaran, Ramanan
2013.
GPU-accelerated Software Library for Unsteady Flamelet Modeling of Turbulent Combustion with Complex Chemical Kinetics.
D'Agostino, Daniele
Clematis, Andrea
and
Danovaro, Emanuele
2014.
High‐Performance Computing on Complex Environments.
p.
193.
Antonelli, Laura
Corsaro, Stefania
Marino, Zelda
and
Rizzardi, Mariarosaria
2014.
Algorithm 944.
ACM Transactions on Mathematical Software,
Vol. 40,
Issue. 4,
p.
1.
Danovaro, E.
Clematis, A.
Galizia, A.
Ripepi, G.
Quarati, A.
and
D’Agostino, D.
2014.
Heterogeneous architectures for computational intensive applications: A cost-effectiveness analysis.
Journal of Computational and Applied Mathematics,
Vol. 270,
Issue. ,
p.
63.
Valle, Mario
Schabauer, Hannes
Pacher, Christoph
Stockinger, Heinz
Stamatakis, Alexandros
Robinson-Rechavi, Marc
and
Salamin, Nicolas
2014.
Optimization strategies for fast detection of positive selection on phylogenetic trees.
Bioinformatics,
Vol. 30,
Issue. 8,
p.
1129.
Galizia, Antonella
Danovaro, Emanuele
Ripepi, Giuseppe
and
Clematis, Andrea
2014.
Compute Intensive Algorithm on Heterogeneous System: A Case Study about Fourier Transform.
p.
223.
Colmenares, José
Galizia, Antonella
Ortiz, Jesús
Clematis, Andrea
and
Rocchia, Walter
2014.
A Combined MPI-CUDA Parallel Solution of Linear and Nonlinear Poisson-Boltzmann Equation.
BioMed Research International,
Vol. 2014,
Issue. ,
p.
1.
Weinbub, Josef
Rupp, Karl
and
Selberherr, Siegfried
2014.
ViennaX: a parallel plugin execution framework for scientific computing.
Engineering with Computers,
Vol. 30,
Issue. 4,
p.
651.
Nardin, Luis G.
Rosset, Luciano M.
and
Sichman, Jaime S.
2014.
Interdisciplinary Applications of Agent-Based Social Simulation and Modeling.
p.
36.
Choudary, Chekuri
and
Mazumder, Sandip
2014.
Direct numerical simulation of catalytic combustion in a multi-channel monolith reactor using personal computers with emerging architectures.
Computers & Chemical Engineering,
Vol. 61,
Issue. ,
p.
175.
D'Amore, L.
Murli, A.
Boccia, V.
and
Carracciuolo, L.
2014.
Insertion of PETSc in the NEMO stack software driving NEMO towards exascale computing.
p.
724.
Aldrich, Eric M.
2014.
Handbook of Computational Economics Vol. 3.
Vol. 3,
Issue. ,
p.
557.
Brumm, Johannes
Mikushin, Dmitry
Scheidegger, Simon
and
Schenk, Olaf
2015.
Scalable high-dimensional dynamic stochastic economic modeling.
Journal of Computational Science,
Vol. 11,
Issue. ,
p.
12.
Limet, Sébastien
Smari, Waleed W.
and
Spalazzi, Luca
2015.
High‐performance computing: to boldly go where no human has gone before.
Concurrency and Computation: Practice and Experience,
Vol. 27,
Issue. 13,
p.
3145.
Galizia, Antonella
D’Agostino, Daniele
and
Clematis, Andrea
2015.
An MPI–CUDA library for image processing on HPC architectures.
Journal of Computational and Applied Mathematics,
Vol. 273,
Issue. ,
p.
414.
Carracciuolo, Luisa
D'Amore, Luisa
and
Mele, Valeria
2015.
Toward a fully parallel multigrid in time algorithm in PETSc environment: A case study in ocean models.
p.
595.
Soodhalter, Kirk M.
2015.
A block MINRES algorithm based on the band Lanczos method.
Numerical Algorithms,
Vol. 69,
Issue. 3,
p.
473.
Fernández-González, Álvaro
Rosillo, Rafael
Miguel-Dávila, José Ángel
and
Matellán, Vicente
2015.
Historical review and future challenges in Supercomputing and Networks of Scientific Communication.
The Journal of Supercomputing,
Vol. 71,
Issue. 12,
p.
4476.