The project inEXASCALE aims to change the way people think about designing and analyzing algorithms in the exascale era. On supercomputers that exist today, achieving even close to the peak performance is incredibly difficult if not impossible for many applications.
Techniques designed to improve performance - making computations less expensive by reorganizing an algorithm, making intentional approximations, and using lower precision - all introduce what we can generally call "inexactness". The question is, with all this inexactness involved, does the algorithm still get close enough to the right answer?
The effects of these sources of inexactness have been studied separately, but never together in a holistic way. By studying the combination of different sources of inexactness, we will reveal not only the limitations of these techniques, but also reveal new opportunities for developing algorithms that are both fast and provably accurate.
Analyzing and Exploiting Inexactness in Exascale Matrix
PI: Erin Carson
Prague, Czech Republic
PI: Erin C. Carson
Funded PhD positions are available within the framework of the ERC project "Analyzing and Exploiting Inexactness in Exascale Matrix Computations", led by Dr. Erin Carson at the Faculty of Mathematics and Physics at Charles University. Applications are invited from candidates who have strong background in numerical linear algebra, numerical analysis, parallel computing, or computational/data science application domains. The start date is October 2023, by which time the applicants must hold a Master's degree. Successful candidates must formally enroll in the PhD program at Charles University.
Potential PhD topics include, but are not limited to:
Further details about the project can be found at the project website: https://www.karlin.mff.cuni.cz/~carson/inexascale
Application deadline: March 24, 2023
Interested candidates should submit the following documents to email@example.com:
Selected finalists will be invited to officially apply through the university system; official acceptance in the program will be pending an entrance examination. For complete details on the admissions procedure, see https://www.mff.cuni.cz/en/admissions/admission-procedure-in-phd-programmes/2023-2024.
Questions regarding the application can be directed to:
Dr. Erin C. Carson
Department of Numerical Mathematics, Faculty of Mathematics and Physics, Charles University
Sokolovska 83, 18675 Prague