Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
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263-3840-00L  Hardware Architectures for Machine Learning

SemesterFrühjahrssemester 2019
DozierendeG. Alonso, T. Hoefler, C. Zhang
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch
KommentarThe deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.


KurzbeschreibungThe seminar covers recent results in the increasingly important field of hardware acceleration for data science and machine learning, both in dedicated machines or in data centers.
LernzielThe seminar aims at students interested in the system aspects of machine learning, who are willing to bridge the gap across traditional disciplines: machine learning, databases, systems, and computer architecture.
InhaltThe seminar is intended to cover recent results in the increasingly important field of hardware acceleration for data science and machine learning, both in dedicated machines or in data centers.
Voraussetzungen / BesonderesThe seminar should be of special interest to students intending to complete a master's thesis or a doctoral dissertation in related topics.