All programmes > Compute Platforms for AI and Embedded Processing

Compute Platforms for AI and Embedded Processing (B-KUL-H05H2A)

3 ECTSEnglish28 First termCannot be taken as part of an examination contract
Verhelst Marian
POC Elektrotechniek

Aims

The aim of this course is to learn to design larger digital integrated systems-on-chip (SoCs), and this especially in the area of AI and perceptive sensory systems. The course will start from the design, computer architecture and methodology knowledge gathered from previous courses. Special attention will be given to :

  • acquiring knowledge on state-of-the-art efficiency enhancement techniques used in processors and accelerators

  • the design trade-offs between performance, cost, power usage and flexibility

  • the tight interplay and co-optimizations between hardware and algorithms (HW-alg co-design).

Previous knowledge

A succesful exam of the following courses is advised

  • h09j6 design of digital platforms
  • h05d3a computer architectures

 

 

Order of Enrolment

Mixed prerequisite:
You may only take this course if you comply with the prerequisites. Prerequisites can be strict or flexible, or can imply simultaneity. A degree level can be also be a prerequisite.
Explanation:
STRICT: You may only take this course if you have passed or applied tolerance for the courses for which this condition is set.
FLEXIBLE: You may only take this course if you have previously taken the courses for which this condition is set.
SIMULTANEOUS: You may only take this course if you also take the courses for which this condition is set (or have taken them previously).
DEGREE: You may only take this course if you have obtained this degree level.


(FLEXIBLE (H05D3A) OR FLEXIBLE (H05D5A))

The codes of the course units mentioned above correspond to the following course descriptions:
H05D3A : Computer Architectures
H05D5A : Computerarchitecturen

Is included in these courses of study

Activities

2.41 ects. Compute Platforms for AI and Embedded Processing: Lecture (B-KUL-H05H2a)

2.41 ECTSEnglishFormat: Lecture18 First term
Verhelst Marian
POC Elektrotechniek

Content

This course will dive deeper into the following topics:

  • Evolution in (embedded) processor chips
  • Overview of AI hardware, computer architectures for AI and deep learning
  • Processor tecniques for power management and adaptive operation of large SoC
  • Design verficiation using system verilog
  • Guest lecture on industrial SoC development

Course material

Study cost: 1-10 euros (The information about the study costs as stated here gives an indication and only represents the costs for purchasing new materials. There might be some electronic or second-hand copies available as well. You can use LIMO to check whether the textbook is available in the library. Any potential printing costs and optional course material are not included in this price.)

Ad hoc material put on Toledo.

Format: more information

There are theoretical classes and exercise sessions.

0.59 ects. Compute Platforms for AI and Embedded Processing: Exercises and Laboratory Sessions (B-KUL-H05H3a)

0.59 ECTSEnglishFormat: Practical10 First term
Verhelst Marian
POC Elektrotechniek

Content

This class encompasses a mixture of prerecorded knowedge clips, more interactive class sessions and design exercises.

Course material

Ad hoc material put on Toledo.

Evaluation

Evaluation: Compute Platforms for AI and Embedded Processing (B-KUL-H25H2a)

Type : Exam during the examination period
Description of evaluation : Oral
Type of questions : Open questions

Explanation


There are three types of questions:

  • questions about the theory taught in the classes
  • questions about a related paper
  • questions about the design exercise, which needs to be submitted at the end of the project (deadline announced in the work sessions). 

Information about retaking exams

Students taking this exam in the 3rd examation period, will get a modified design exercise, and need to submit this again before the exam. It will again be orally discussed at the exam.