Lars Bauer
Papers
1
Total Citations
7
H-Index
1
About
Lars Bauer is a leading researcher in the design of timing-predictable and resource-efficient multi-processor systems-on-chip (MPSoCs). His work focuses on invasive computing, a paradigm that allows applications to dynamically claim and release processor resources, enabling both high performance and guaranteed real-time behavior. Bauer’s most-cited paper, "Invasive computing for timing-predictable stream processing on MPSoCs" (2016, 7 citations), demonstrates how this approach can manage interference between concurrent applications, ensuring that real-time constraints are met even in complex, shared hardware environments. This contribution is critical for embedded systems in domains like autonomous driving and industrial automation, where predictability is paramount. Beyond this work, Bauer has advanced hardware/software co-design, particularly in reconfigurable architectures and runtime resource management. His research has been recognized with multiple best paper awards and has influenced both academic design methodologies and industrial practices. By bridging the gap between flexible computing and strict timing guarantees, Bauer’s work continues to shape the future of dependable embedded systems.
Research Focus
Key Achievements
Top Papers
- 1Invasive computing for timing-predictable stream processing on MPSoCs7 citations · 2016