Computer Architectures and Applications in the Era of Bio-inspired Computing
Bio-inspired computing represents an innovative research area which covers a range of design principles for computer hardware structures and architectures, as well as software algorithms.
These design principles are often derived and abstracted from biological phenomena or biological systems, which exhibit characteristics such as energy efficiency, fault tolerance, adaptivity, the ability to learn and self-organization. Many of these properties are highly desirable for modern computing systems and ap plications such as machine learning, autonomous cars with connected driving, self-organizing sensor networks or applications in the context of automatization and Industrie 4.0.
This seminar approaches bio-inspired computing at different levels and covers some of the most important challenges in the context of:
- Architecture and hardware design
- Technology and hardware implementation
- New algorithms in hardware and software
- Fault tolerance and dependability
The first session will take place on April 10th, 2017 at 9:45, Building Universitätsstraße 38, Room 0.108
Preliminary schedule (updated 19.06.2017):
Our first student talks will take place on 12.06.2017
Date | Room | Topic |
---|---|---|
10.04.2017 | 0.108 | Introduction, topic overview and assignment |
24.04.2017 | 0.108 | Session 0: Introduction to Bio-inspired Computing |
- | 0.108 | Session 1: Bio-inspired Approximate Computing |
12.06.2017 | 0.108 | Session 2: Evolvable and Polymorphic Hardware |
19.06.2017 | 0.108 | Session 3: Invasive Computing Presenter: – |
10.07.2017 | 0.108 | Session 4: Bio-inspired Scheduling and Load Balancing |
17.07.2017 | 0.108 | Session 5: Nature-inspired Organization Session 6: Bio-inspired Self-X |