Seminar on Hardware Accelerators for AI (IN0014, IN2107)
Dirk Stober (TUM), Prof. Miloš Krstić (IHP, UP), Dedong Zhao (UP)
| Dates: | Online Lecture: Friday 12:00 (preliminary) This course will be completely remote (Presentation & Lectures) |
| First meeting: | t.b.d |
| ECTS: | 5 |
| Language: | English |
| Type: | Bachelor/Master Seminar course |
| Moodle course: | openUP moodle (external) |
| Registration: | Registration is through the matching system |
| Questions? | Contact dirk.stober(at)tum.de |
This course is part of the BB-KI (Brandenburg / Bayern Aktion für KI-Hardware) chips project, aimed at offering practical courses in the area of dedicated AI Hardware.
Topics
- Introduction in VLSI and digital logic design
- Hardware Design Process, ASIC, FPGA
- Von Neumann Computing Architecture
- State of the art processor architecture, Example RISC-V
- Limitations of classical architectures for AI applications
- Accelerators architectures: GPUs, MAC arrays
- Neuromorphic Architectures (TrueNorth, Loihi, Google architectures)
- Emerging architectures: In-Memory-Computing (example RRAM)
Organization
Kick off Meeting:
- Presentation of organizations
- t.b.d
Lectures (Friday 10:00-12:00) & Weekly Questions:
- Online or pre-recorded
- Weekly Questions on open.UP moodle (50% to pass course)
Presentation (Last Weeks of Semester):
- ~15 min presentation + Questions
Report:
- Literary survey
- Concepts and Trade-offs
- Deadline: End of semester
Grading:
The work will be performed on an individual basis and the final grade will be based on the sum of the three grades (Presentation , Report and Weekly Questions), with all three tasks being mandatory to pass.