Accelerate indexing with ray-tracing RTX GPU cores

Slots: 2
Hours per week: 4
Completion within: 9 months

For students inrolled in:
Informatics B.Ed., Informatics B.Sc., Mathematics-Infomatics B.Sc., Physics B.Sc.,

Discription
The project aims to accelerate indexing processes of GPU databanks with the help of cutting-edge ray tracing. It also aims to search data structures quickly and quantify properties. Ray tracing uses an internal hardware-accelerated data structure where details remain unknown. The project aims to investigate this ray-tracing process.

Role of the students
The students will use ready-made Python code to analyze potential physical effects and applications of such friction between rotating particles in computer simulations. If they are interested, students can also adjust the source code.

Qualifications
Previous knowledge of programming languages and GPUs is required.


Supervisor: Justus Henneberg
Location: Campus Mainz
Primary Language: German


If you have any further questions you can always write a mail to quest@uni-mainz.de.

 

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