Other

• 2024

  OLŠÁK, O.; JAROŠ, J. Investigating the Possibility of Using Pruned FFT in Ultrasound Wave Propagation Simulations. Ostrava: 2024. 1 p.
  

  OLŠÁK, O.; JAROŠ, J. Techniques for Efficient Fourier Transform Computation in Ultrasound Simulations. Soláň: 2024. 1 p.
  

  JAROŠ, M.; JAROŠ, J. k-Dispatch: Enabling Cost-Optimized Biomedical Workflow Offloading. Solan: 2024. 1 p.
  

  JAROŠ, J.; BAYER, D. afft: a C++17 Wrapper Library for FFT-like Computations on Various Targets. Soláň: 2024. 1 p.
  

  JAROŠ, J.; CHLEBÍK, J. Enhancing Acoustic Neural Predictors with Heterogeneous Density. Soláň: 2024. 1 p.
  

  BAYER, D.; JAROŠ, J. MATLAB Interface To The afft Library. Ostrava: 2024. 1 p.
  

  JAROŠ, J.; MAJER, M.; HORKÝ, J.; VÁVRA, J. Web-Based Simulator of Superscalar RISC-V Processors. Atlanta, GA: 2024. p. 1-2.
  

  JAROŠ, J.; TREEBY, B.; JAROŠ, M. k-Plan: From the Hospital to the Cluster and Back. Sydney: 2024. 1 p.
  

  KUNÍK, O.; JAROŠ, J. Accelerating Hybrid Local Domain Decomposition for the k-Wave Toolbox on Multi-GPU Systems. Ostrava: 2024. 1 p.
  

• 2023

  BAYER, D.; JAROŠ, J. Acceleration of Heat Diffusion Simulation on Single-Node Systems. Ostrava: 2023. 1 p.
  

  CHLEBÍK, J.; JAROŠ, J. Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Lisbon: Association for Computing Machinery, 2023. p. 635-638. ISBN: 979-8-4007-0120-7.
  

  CHLEBÍK, J.; JAROŠ, J. Evolutionary Exploration of a Neural Network for Predicting Ultrasound Propagation. Ostrava: 2023. 1 p.
  

• 2022

  OLŠÁK, O.; JAROŠ, J. Evaluation of libraries for the one-dimensional sparse Fourier transform. Ostrava: 2022. 1 p.
  

  JAROŠ, M.; TREEBY, B.; JAROŠ, J. k-Plan: From the Hospital to the Cluster and Back. Ostrava: 2022. 1 p.
  

  CHLEBÍK, J.; JAROŠ, J. Evolutionary NAS for Topology of an Acoustic Propagation Predictor. Soláň: 2022. 1 p.
  

  JAROŠ, M.; JAROŠ, J. k-Dispatch's Performance Modules for Advanced Workflow Submission. Soláň: 2022. 1 p.
  

  OLŠÁK, O.; JAROŠ, J. Comparison of SpFFT and FFTW3 library. Soláň: 2022. 1 p.
  

• 2021

  JAROŠ, M.; JAROŠ, J. k-Dispatch's Performance Modules for Advanced Workflow Submission. 5th Users' Conference of IT4Innovations. Ostrava: 2021. 1 p.
  

  JAROŠ, J. Handling C++ Exceptions in MPI Applications. The International Conference for High Performance Computing, Networking, Storage, and Analysis. St. Louis, MO, USA: 2021. 2 p.
  

  JAROŠ, M.; TREEBY, B.; JAROŠ, J. Adaptive Execution Planning in Biomedical Workflow Management Systems. The Platform for Advanced Scientific Computing (PASC) Conference 2021. Geneva: 2021. 1 p.
  

  CHLEBÍK, J.; JAROŠ, J. Distributed Evolutionary Design of HIFU Treatment Plans. GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Lille: Association for Computing Machinery, 2021. p. 297-298. ISBN: 978-1-4503-8351-6.
  

• 2019

  JAROŠ, M.; TREEBY, B.; JAROŠ, J. Adaptive Execution Planning in Biomedical Workflow Management Systems. Ostrava: 2019. 1 p.
  

  JAROŠ, M.; TREEBY, B.; JAROŠ, J. Scientific workflow management framework. Soláň: 2019. p. 1 (1 s.).
  

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Advancements in Ultrasound Simulations Enabled by High-bandwidth GPU Interconnects. Denver: 2019. 1 p.
  

  BORDOVSKÝ, G.; JAROŠ, J. On the Complexity of Photoacoustic Tomography: A Trade-off Between Image Quality and Computational Cost. Solaň: 2019. p. 1 (1 s.).
  

  JAROŠ, M.; JAROŠ, J.; TREEBY, B. Adaptive Execution Planning in Workflow Management Systems. Denver: 2019. 1 p.
  

• 2018

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on Intel Xeon Phi (KNC) accelerators. Ostrava: 2018. p. 1 (1 s.).
  

  JAROŠ, M.; TREEBY, B.; JAROŠ, J. Design of HIFU Treatment Plans using an Evolutionary Strategy. Ostrava: 2018. p. 1 (1 s.).
  

  DANTUMA, M.; LUCKA, F.; TREEBY, B.; JAROŠ, J.; COX, B.; MANOHAR, S. Signal Frequency Content and Appearance of Tumors in Photoacoustic Breast Tomography: A Simulation. Caparica: 2018. p. 1 (1 s.).
  

  KADLUBIAK, K.; TREEBY, B.; JAROŠ, J. Fourth-order Time-stepping Scheme in Simulation of Ultrasound Propagation. Ostrava: 2018. p. 1 (1 s.).
  

  BORDOVSKÝ, G.; COX, B.; JAROŠ, J. Photoacoustic Tomography Using the k-Wave Toolbox. Ostrava: 2018. p. 1 (1 s.).
  

  KADLUBIAK, K.; JAROŠ, J.; TREEBY, B. GPU-accelerated Simulation of Elastic Wave Propagation. Frankfurt am Main: 2018. p. 0 (1 s.).
  

  VAVERKA, F.; ŠPEŤKO, M.; TREEBY, B.; JAROŠ, J. Optimization of Ultrasound Simulations on Multi-GPU Servers. Dallas: 2018. p. 1-2.
  

• 2017

  TREEBY, B.; BUDISKÝ, J.; WISE, E.; JAROŠ, J.; COX, B. Single-step Calculation of the Acoustic Field from Arbitrary Continuous-wave Sources. Ostrava: 2017. p. 1 (1 s.).
  

  JAROŠ, M.; JAROŠ, J. Framework for Planning, Executing and Monitoring Cooperating Computations. Ostrava: 2017. 1 p.
  

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

  BORDOVSKÝ, G.; JAROŠ, J. Optimization of Fracture Tests Simulation in Civil Engineering. Ostrava: 2017. p. 1 (1 s.).
  

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Running Large-Scale Ultrasound Simulations on 256 Salomon Nodes. Ostrava: 2017. p. 1 (1 s.).
  

• 2016

  VAVERKA, F.; TREEBY, B.; JAROŠ, J. Acceleration of Ultrasound Wave Propagation using a Cluster of GPUs. Frankfurt am Main: 2016. p. 1 (1 s.).
  

  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. p. 1 (1 s.).
  

• 2013

  BASERMANN, A.; MATURA, G.; CHEN, F.; FLATKEN, M.; GERNDT, A.; HETHERINGTON, J.; KRÜGER, T.; JAROŠ, J.; NASH, R. Exascale Pre and Post Processing. Barcelona: 2013. 22 p.
  

*) Citace se generují jednou za 24 hodin.