263-3840-00L  Hardware Architectures for Machine Learning

SemesterSpring Semester 2019
LecturersG. Alonso, T. Hoefler, C. Zhang
Periodicityyearly recurring course
Language of instructionEnglish
CommentThe 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.



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, C. Zhang
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

 
Main linkInformation
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Courses

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

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
CAS in Computer ScienceSeminarsWInformation
Data Science MasterSeminarWInformation
Doctoral Department of Computer ScienceDoctoral and Post-Doctoral CoursesWInformation
Computer Science MasterSeminar in Distributed SystemsWInformation
Computer Science MasterSeminar in Information SystemsWInformation
Computer Science MasterSeminar in General StudiesWInformation