The spring semester 2021 will take place online until further notice. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.

263-3504-00L  Hardware Acceleration for Data Processing

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


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.