Steckbrief
Lecturer

Prof. Miloš Krstić

Anselm Breitenreiter

Type of Lecture

Lecture (2 SWS)

Labs (2 SWS)

Target Group4th Semester
AffiliationTechnical Computer Science
PrerequisitesTechnische Grundlagen der Informatik or Informationsverarbeitung
Language

German (Lecture)

English (Slides)

ExaminationOral Exam
Points6 LP

 

 

Computer Architecture for AI Applications

In this course the focus will be on the specifics of hardware design and architectures for AI applications. After the overview of the standard design techniques and common computing architectures, the additional requirements of AI will be discussed. Based on this, the specific architectures and design methods increasing the efficiency of the computation will be discussed. Finally, this course will include also an introduction to the emerging and novel architectures and technologies that could have significant impact in the future.

Here is the detailed list of topics:

  • Introduction in VLSI design and computer architectures
  • 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, Spinnaker), asynchronous design
  • Emerging architectures: In-Memory-Computing (example RRAM)
Steckbrief
Lecturer

Prof. Miloš Krstić

Anselm Breitenreiter

Type of Lecture

Lecture (2 SWS)

Labs (2 SWS)

Target Group4th Semester
AffiliationTechnical Computer Science
PrerequisitesTechnische Grundlagen der Informatik or Informationsverarbeitung
Language

German (Lecture)

English (Slides)

ExaminationOral Exam
Points6 LP