263-3840-00L  Hardware Architectures for Machine Learning

SemesterSpring Semester 2017
LecturersG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
Periodicityyearly recurring course
Language of instructionEnglish



Catalogue data

AbstractThe 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.
ObjectiveThe 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.
ContentThe 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.
Prerequisites / NoticeThe seminar should be of special interest to students intending to complete a master's thesis or a doctoral dissertation in related topics.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersG. Alonso, T. Hoefler, O. Mutlu, C. Zhang
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

 
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Courses

NumberTitleHoursLecturers
263-3840-00 SHardware Architectures for Machine Learning2 hrs
Thu15-17LEE C 104 »
G. Alonso, T. Hoefler, O. Mutlu, C. Zhang

Groups

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Restrictions

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Offered in

ProgrammeSectionType
Certificate of Advanced Studies in Computer ScienceSeminarsWInformation
Doctoral Department of Computer ScienceDoctoral and Post-Doctoral CoursesWInformation
Computer Science MasterSeminar in Distributed SystemsWInformation