Publikace

• 2023

  PIŇOS, M.; MRÁZEK, V.; VAVERKA, F.; VAŠÍČEK, Z.; SEKANINA, L. Acceleration Techniques for Automated Design of Approximate Convolutional Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023, roč. 13, č. 1, s. 212-224. ISSN: 2156-3357.
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• 2021

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. 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, F.; MRÁZEK, V.; VAŠÍČEK, Z.; SEKANINA, L. 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, F.; TREEBY, B.; JAROŠ, J. 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. Faro: Springer International Publishing, 2019. s. 577-590. ISBN: 978-3-030-22743-2.
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  VAVERKA, F. Towards Large-scale Ultrasound Simulations in Soft Tissue for Medical Applications. PAD 2019. Doksy: Academic and Medical Conference Agency, 2019. s. 64-67. ISBN: 978-80-88214-20-5.
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  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Advancements in Ultrasound Simulations Enabled by High-bandwidth GPU Interconnects. Denver: 2019. s. 0-0.
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• 2018

  TREEBY, B.; VAVERKA, F.; JAROŠ, J. Performance and Accuracy Analysis of Nonlinear k-Wave Simulations Using Local Domain Decomposition with an 8-GPU Server. Proceedings of Meetings on Acoustics, 2018, roč. 34, č. 1, s. 1-5. ISSN: 1939-800X.
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  VAVERKA, F.; ŠPEŤKO, M.; TREEBY, B.; JAROŠ, J. Optimization of Ultrasound Simulations on Multi-GPU Servers. Dallas: 2018. s. 1-2.
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  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Intel Xeon Phi (KNC) accelerators. Ostrava: 2018. s. 1 (1 s.).
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• 2017

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Piz Daint with 512 Pascal GPUs. Denver: 2017. s. 1 (1 s.).
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  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava: 2017. s. 1 (1 s.).
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• 2016

  VAVERKA, F.; HRBÁČEK, R.; SEKANINA, L. 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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  VAVERKA, F. Case Study on Multi-domain Decomposition of k-Wave Simulation Framework. Computer achitectures and diagnostics 2016. Brno: Faculty of Information Technology BUT, 2016. s. 37-40. ISBN: 978-80-214-5376-0.
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  JAROŠ, J.; VAVERKA, F.; TREEBY, B. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. Salt Lake City: 2016. s. 1 (1 s.).
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  JAROŠ, J.; VAVERKA, F.; TREEBY, B. Spectral Domain Decomposition Using Local Fourier Basis: Application to Ultrasound Simulation on a Cluster of GPUs. International Journal of Supercomputing Frontiers and Innovations, 2016, roč. 3, č. 3, s. 40-55. ISSN: 2313-8734.
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  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Acceleration of Ultrasound Wave Propagation using a Cluster of GPUs. Frankfurt am Main: 2016. s. 1 (1 s.).
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*) Citace publikací se generují jednou za 24 hodin.