Embedded GPUs in Space and Automotive Systems

Seminar Gerneral Information

• Level: BS/MS
• Credit points: 3
• SWS: 2
• Instructor: Sohan Lal
• Time and Localtion: Wednesday: 11:15 - 12:45 in E-4.042

Desirable Previous Knowledge

An introductory module on basic computer architecture.

Course Description

Welcome to the seminar on embedded GPUs in space and automotive systems! In this seminar, we will dive into the latest research published in top conferences and journals on this topic. You will have the opportunity to select 2-3 papers based on your interests, read and critically analyze them, and present your findings to the class. Through this process, you will also gain experience in writing a review paper in the field of computer architecture.

Our evaluation will be based on your presentation and review paper, as well as your participation in class discussions. We strongly encourage active participation, as this will not only enhance your learning but also contribute to your final grade.

By the end of the seminar, you should have a solid understanding of the latest advancements in embedded GPUs and their applications in space and automotive systems. Additionally, you will have honed your analytical and communication skills, which will be valuable in your future academic and professional endeavors.

Course Evaluation

• Papers presentation: 50%
• Review paper: 50%
• The criteria for the evaluation of presentations and review papers will be discussed in the class.

Course Registration and Further Information

Please register for the course on Stud.IP. The registration is mandatory. We will also use Stud.IP for sharing course material such as slides and further information.

In-class Presentation

A list of starting papers for each topic along with a list of top conferences in computer architecture will be given. You can choose the second and third papers independently, however, it is suggested to discuss the selection of papers with the instructor. When you present papers, be prepared to answer the questions from the instructor and fellow students.

Review

A review paper about the selected papers will be written. The structure of the review paper will be discussed in the class. Each student will review a paper of a fellow student.

Course Outcome

After the course completion, you will have a solid understanding of the latest advancements in embedded GPUs and their applications in space and automotive systems. Moreover, the participants can expect to have acquired the necessary knowledge and skills to understand and critically analyze the research in the field of computer architecture.

Resources (Optional)

• David B. Kirk, Wen-mei W. Hwu, Programming Massively Parallel Processors - A Hands on Approach, Second Edition (Book)