Thesis supervisor: Zoltán Juhász
Location of studies (in Hungarian): University of Pannonia, H-8200 Veszprém, Egyetem u. 10. Hungary Abbreviation of location of studies: PE
Description of the research topic:
Programmable graphics processors have changed today’s high-performance computing landscape. These chips contain thousands of cores and deliver several Tflop/s computational performance but require a degree of parallelism in the order of hundred thousand threads. With careful algorithm design that takes hardware execution characteristics into account, the execution times can be drastically reduced. The challenge is to design novel parallel algorithms that match these architectures and implement them in way that produces maximum execution efficiency. The goal of this research is to study a selected set of important and hard problems in key application areas (such as e.g., simulation, numerical methods, advanced signal processing, medical data processing) in order to develop best-in-class implementations. The work will involve algorithm theory and design, GPU architecture research, GPU programming, numerical algorithm analysis and the study of potential application areas that could benefit from the results.
Papers related to the topic:
1. Couturier, Raphaël, ed. Designing scientific applications on GPUs. CRC Press, 2013.
2. Micikevicius, Paulius. "GPU performance analysis and optimization." In GPU Technology Conference, vol. 84. 2012.
Required language skills: english Further requirements: Applicants should have a very good command of English, and strong interest in high-performance computing systems. Knowledge of parallel and distributed computing architectures, main programming languages and parallel programming techniques is essenti
Number of students who can be accepted: 1
Deadline for application: 2021-02-28
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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