This winter semester, Advanced Computer Architecture will take place as a virtual course in various teaching formats.

> Link to the class in StudIP <

To get access to the teaching materials, it is necessary to register for the course in StudIP.
Attention: Registration will be closed at the end of October!

After your registration you will receive an email with the corresponding access data (in time before the semester starts). We will then also use the email address to invite you to the corresponding online conferences.

The course consists of lectures in self-study, which fit into the existing dates of the course. We recommend that you use the weekly self-study date.
At the end of the appointment, there is a question and answer session in which questions about the lecture are discussed via online conference. Exercises are also held via online conference.

If you have any problems with the studip registration, please contact us at kostrzewa(at)ida.ing.tu-bs.de.

>>> Opening event <<<

The kick-off event takes place on 21.10.2020 at 14:00 digital.
You will receive access after registration in the event in StudIP.

You will find the recordings for self-study and other lecture materials under Lecture Materials.

The page is password protected .

Please enter the username and password you have received into the login window (top right).

The access data will be sent by email after registration on StudIP before the start of the lecture period.
The slides in videos may differ from the current ones.

The lecture deals with mechanisms of current processor architectures, based on the basics offered in the lecture Computer Architecture 1.

Topics covered:

•     Instruction level parallelism
  •     Superscalar architectures, vector and graphics processors (GP-GPUs)
•     Thread level parallelsim
  •     Multithreading
  •     Programming models
•     Multiprocessors
  •  Organizational Principles
•  Cache Coherence
  •  DMA-based architectures
  •   Hardware mechanisms for scheduling and communication
  •   Synchronization, Transactional Memory, ...
•     Communication in multiprocessors
  •   Principles, Topologies, Protocols, On-Chip Networks