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  • Abstract submission:
    Friday, 29 November 2019
    Friday, 13 December 2019
  • Full paper submission:
    Monday, 27 January 2020
  • Acceptance notification:
    Monday, 16 March 2020





GPU Programming and Applications

Dr. Zoltán Juhász’s workshop at MIPRO 2019

Dr. Zoltán Juhász will hold and chair a workshop on “GPU Programming and Applications” on Monday, 20 May 2019 within MIPRO 2019 in cooperation with the Ruđer Bošković Institute, Zagreb and the University of Rijeka. The workshop is intended for students and computing professionals who want to understand the architectural reasons behind the vast computational power of current GPUs and want to see how this new hardware-software ecosystem can provide new opportunities in research and commercial applications.

Workshop participants will receive a BURA supercomputer account for 30 days after MIPRO 2019 ends. In addition, there is a possibility of extending the account on the basis of project proposal.

This workshop will provide an in-depth overview of GPU computing technology, provide hands-on programming opportunities, and highlight key application areas where GPUs excel and show great future potential. In the workshop, participants will overview GPU architecture generations, understand how each generation contributed to improved performance and programmability. The fundamentals of CUDA programming will be covered, as well as advanced topics such as performance optimization, fundamental algorithmic components and use of parallel libraries. Several application areas including numerical and scientific computing, signal and image processing and neural networks will be examined in order to understand the benefits of GPU computing.

Workshop will include hands-on programming session. Participants of this workshop will have an opportunity to visit the fastest supercomputer in Croatia called “Bura” at the University of Rijeka.

Dr Zoltán Juhász is an Associate Professor of Computer Science at the University of Pannonia, Hungary. He has over two decades of teaching and research experience in parallel and distributed systems. For the past decade he has been a strong advocate of GPU technology as it can be an inexpensive and effective solution for providing quasi supercomputer-class performance for everyday applications. He teaches Parallel Computing at the BSc and MSc levels, and uses GPUs for fast plasma simulation and EEG-based high-performance brain imaging research.

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Tuesday, April 23, 2019


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