263-3504-00L  Hardware Acceleration for Data Processing

SemesterAutumn Semester 2018
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 will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular.
ObjectiveThe seminar will cover topics related to data processing using new hardware in general and hardware accelerators (GPU, FPGA, specialized processors) in particular.
ContentThe general application areas are big data and machine learning. The systems covered will include systems from computer architecture, high performance computing, data appliances, and data centers.
Prerequisites / NoticeStudents taking this seminar should have the necessary background in systems and low level programming.

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.
Additional information on mode of examinationThe 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.

Learning materials

 
Main linkInformation
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
263-3504-00 SHardware Acceleration for Data Processing2 hrs
Tue13-15ML J 34.1 »
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
Computer Science MasterSeminar in Information SystemsWInformation
Computer Science MasterSeminar in General StudiesWInformation
Computer Science MasterSeminar in Distributed SystemsWInformation