Alan Ayala

According to our database, Alan Ayala authored at least 10 papers between 2019 and 2022.

Collaborative distances:

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

2022

Local Multiple Traces Formulation for electromagnetics: Stability and preconditioning for smooth geometries.

Alan Ayala, Xavier Claeys, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes

J. Comput. Appl. Math., 2022

Performance Analysis of Parallel FFT on Large Multi-GPU Systems.

Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs.

Sébastien Cayrols, Jiali Li, George Bosilca, Stanimire Tomov, Alan Ayala, Jack J. Dongarra

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

Scalability Issues in FFT Computation.

Alan Ayala, Stanimire Tomov, Miroslav Stoyanov, Jack J. Dongarra

Proceedings of the Parallel Computing Technologies, 2021

Accelerating Multi - Process Communication for Parallel 3-D FFT.

Alan Ayala, Stan Tomov, Miroslav Stoyanov, Azzam Haidar, Jack J. Dongarra

Proceedings of the Workshop on Exascale MPI, 2021

2020

Linear-time CUR approximation of BEM matrices.

Alan Ayala, Xavier Claeys, Laura Grigori

J. Comput. Appl. Math., 2020

Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano.

Rocco Febbo, Brendan Flood, Julian Halloy, Patrick Lau, Kwai Wong, Alan Ayala

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

heFFTe: Highly Efficient FFT for Exascale.

Alan Ayala, Stanimire Tomov, Azzam Haidar, Jack J. Dongarra

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Correction to: ALORA: Affine Low-Rank Approximations.

Alan Ayala, Xavier Claeys, Laura Grigori

J. Sci. Comput., 2019

ALORA: Affine Low-Rank Approximations.

Alan Ayala, Xavier Claeys, Laura Grigori

J. Sci. Comput., 2019