Filip Vaverka

According to our database, Filip Vaverka authored at least 8 papers between 2016 and 2023.

Collaborative distances:

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

2023

Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks.

Michal Pinos, Vojtech Mrazek, Filip Vaverka, Zdenek Vasícek, Lukás Sekanina

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.

Filip Vaverka, Milan Smetana, Daniela Gombarska, Zuzana Psenakova

Sensors, February, 2023

2020

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

Filip Vaverka, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina

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.

Filip Vaverka, Bradley E. Treeby, Jirí Jaros

Proceedings of the Computational Science - ICCS 2019, 2019

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

Filip Vaverka, Bradley E. Treeby, Jirí Jaros

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.

Bradley E. Treeby, Filip Vaverka, Jirí Jaros

Proc. Meet. Acoust., 2018

2016

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

Jirí Jaros, Filip Vaverka, Bradley E. Treeby

Supercomput. Front. Innov., 2016

Evolving component library for approximate high level synthesis.

Filip Vaverka, Radek Hrbacek, Lukás Sekanina

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016