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263-3840-00L  Hardware Architectures for Machine Learning

SemesterFrühjahrssemester 2017
DozierendeG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch


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.