Ing.

Filip Vaverka

Ph.D.

PhD student


L327 Office
138485/BUT personal ID

Publications

  • 2023

    PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk and SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 13, no. 1, 2023, pp. 212-224. ISSN 2156-3357.
    Detail

  • 2021

    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Performance Evaluation of Pseudospectral Ultrasound Simulations on a Cluster of Xeon Phi Accelerators. In: High Performance Computing in Science and Engineering. HPCSE 2019. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cham: Springer Nature Switzerland AG, 2021, pp. 99-115. ISBN 978-3-030-67076-4.
    Detail

  • 2020

    VAVERKA Filip, MRÁZEK Vojtěch, VAŠÍČEK Zdeněk and SEKANINA Lukáš. TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU. In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). Grenoble: Institute of Electrical and Electronics Engineers, 2020, pp. 294-297. ISBN 978-3-9819263-4-7.
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  • 2019

    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Advancements in Ultrasound Simulations Enabled by High-bandwidth GPU Interconnects. Denver, 2019.
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    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Evaluation of the Suitability of Intel Xeon Phi Clusters for the Simulation of Ultrasound Wave Propagation using Pseudospectral Methods. In: 19th International Conference on Computational Science 2019, Faro, Portugal, June 12-14, 2019. Lecture Notes in Computer Science, vol. 11538. Faro: Springer International Publishing, 2019, pp. 577-590. ISBN 978-3-030-22743-2.
    Detail

    VAVERKA Filip. Towards Large-scale Ultrasound Simulations in Soft Tissue for Medical Applications. In: PAD 2019. Doksy: Academic and Medical Conference Agency, 2019, pp. 64-67. ISBN 978-80-88214-20-5.
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  • 2018

    VAVERKA Filip, ŠPEŤKO Matej, TREEBY Bradley E. and JAROŠ Jiří. Optimization of Ultrasound Simulations on Multi-GPU Servers. Dallas, 2018.
    Detail

    TREEBY Bradley E., VAVERKA Filip and JAROŠ Jiří. Performance and Accuracy Analysis of Nonlinear k-Wave Simulations Using Local Domain Decomposition with an 8-GPU Server. Proceedings of Meetings on Acoustics, vol. 34, no. 1, 2018, pp. 1-5. ISSN 1939-800X.
    Detail

    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Running Large-Scale Ultrasound Simulations on Intel Xeon Phi (KNC) accelerators. Ostrava, 2018.
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  • 2017

    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava, 2017.
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    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Denver, 2017.
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  • 2016

    VAVERKA Filip, TREEBY Bradley E. and JAROŠ Jiří. Acceleration of Ultrasound Wave Propagation using a Cluster of GPUs. Frankfurt am Main, 2016.
    Detail

    VAVERKA Filip. Case Study on Multi-domain Decomposition of k-Wave Simulation Framework. In: Computer achitectures and diagnostics 2016. Brno: Faculty of Information Technology BUT, 2016, pp. 37-40. ISBN 978-80-214-5376-0.
    Detail

    VAVERKA Filip, HRBÁČEK Radek and SEKANINA Lukáš. Evolving Component Library for Approximate High Level Synthesis. In: 2016 IEEE Symposium Series on Computational Intelligence. Athens: IEEE Computational Intelligence Society, 2016, pp. 1-8. ISBN 978-1-5090-4240-1.
    Detail

    JAROŠ Jiří, VAVERKA Filip and TREEBY Bradley E. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Supercomputing Frontiers and Innovations, vol. 3, no. 3, 2016, pp. 40-55. ISSN 2313-8734.
    Detail

    JAROŠ Jiří, VAVERKA Filip and TREEBY Bradley E. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Salt Lake City, 2016.
    Detail

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