Ing.

Filip Vaverka

Ph.D.

Ph.D. student


L327 Kancelář
138485/osobní číslo VUT

Publikace

  • 2023

    PIŇOS Michal, MRÁZEK Vojtěch, VAVERKA Filip, VAŠÍČEK Zdeněk a SEKANINA Lukáš. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, roč. 13, č. 1, 2023, s. 212-224. ISSN 2156-3357.
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  • 2021

    VAVERKA Filip, TREEBY Bradley E. a 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, s. 99-115. ISBN 978-3-030-67076-4.
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  • 2020

    VAVERKA Filip, MRÁZEK Vojtěch, VAŠÍČEK Zdeněk a 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, s. 294-297. ISBN 978-3-9819263-4-7.
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  • 2019

    VAVERKA Filip, TREEBY Bradley E. a JAROŠ Jiří. Advancements in Ultrasound Simulations Enabled by High-bandwidth GPU Interconnects. Denver, 2019.
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    VAVERKA Filip, TREEBY Bradley E. a 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, roč. 11538. Faro: Springer International Publishing, 2019, s. 577-590. ISBN 978-3-030-22743-2.
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    VAVERKA Filip. Towards Large-scale Ultrasound Simulations in Soft Tissue for Medical Applications. In: PAD 2019. Doksy: Academic and Medical Conference Agency, 2019, s. 64-67. ISBN 978-80-88214-20-5.
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  • 2018

    VAVERKA Filip, ŠPEŤKO Matej, TREEBY Bradley E. a JAROŠ Jiří. Optimization of Ultrasound Simulations on Multi-GPU Servers. Dallas, 2018.
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    TREEBY Bradley E., VAVERKA Filip a 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, roč. 34, č. 1, 2018, s. 1-5. ISSN 1939-800X.
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    VAVERKA Filip, TREEBY Bradley E. a 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. a JAROŠ Jiří. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava, 2017.
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    VAVERKA Filip, TREEBY Bradley E. a 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. a JAROŠ Jiří. Acceleration of Ultrasound Wave Propagation using a Cluster of GPUs. Frankfurt am Main, 2016.
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    VAVERKA Filip. Case Study on Multi-domain Decomposition of k-Wave Simulation Framework. In: Computer achitectures and diagnostics 2016. Brno: Fakulta informačních technologií VUT v Brně, 2016, s. 37-40. ISBN 978-80-214-5376-0.
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    VAVERKA Filip, HRBÁČEK Radek a SEKANINA Lukáš. Evolving Component Library for Approximate High Level Synthesis. In: 2016 IEEE Symposium Series on Computational Intelligence. Athens: IEEE Computational Intelligence Society, 2016, s. 1-8. ISBN 978-1-5090-4240-1.
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    JAROŠ Jiří, VAVERKA Filip a TREEBY Bradley E. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Supercomputing Frontiers and Innovations, roč. 3, č. 3, 2016, s. 40-55. ISSN 2313-8734.
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    JAROŠ Jiří, VAVERKA Filip a TREEBY Bradley E. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Salt Lake City, 2016.
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Nahoru