Filip Vaverka

PhD thesis, 2024

2023

Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Investigation of Microwave Electromagnetic Fields in Open and Shielded Areas and Their Possible Effects on Biological Structure.

[BibT_eX]

[DOI]

Sensors, February, 2023

2020

TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU.

[BibT_eX]

[DOI]

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation Using Pseudospectral Methods.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2019, 2019

Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators.

[BibT_eX]

[DOI]

Proceedings of the High Performance Computing in Science and Engineering, 2019

2018

Performance and accuracy analysis of nonlinear k-Wave simulations using local domain decomposition with an 8-GPU server.

[BibT_eX]

[DOI]

Proc. Meet. Acoust., 2018

2016

Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs.

[BibT_eX]

[DOI]

Supercomput. Front. Innov., 2016

Evolving component library for approximate high level synthesis.

[BibT_eX]

[DOI]