Sascha Roloff
Papers
2
Total Citations
24
H-Index
2
About
Sascha Roloff’s research focuses on making multi-core processors predictable and reliable for real-time and safety-critical systems. His key contributions lie in the field of invasive computing, a paradigm that allows applications to dynamically claim and manage processor resources to guarantee execution qualities like timeliness, power consumption, and fault-tolerability. Roloff’s most-cited work, “Language and Compilation of Parallel Programs for *-Predictable MPSoC Execution Using Invasive Computing” (2016, 17 citations), introduces a novel language and compiler framework that enables parallel programs to explicitly express their resource demands, ensuring predictable behavior on complex Multi-Processor Systems-on-a-Chip (MPSoCs). This work is foundational for embedded systems requiring guarantees rather than best-effort performance. In a related study (2016, 7 citations), Roloff addresses timing-predictable stream processing on MPSoCs, tackling the interference and uncertainty that plague real-time applications. By combining invasive computing with stream processing, he provides a pathway for applications to meet strict deadlines even under shared resource contention. Roloff’s research is instrumental for engineers and researchers working on autonomous vehicles, industrial automation, and other domains where predictable execution is non-negotiable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Invasive computing for timing-predictable stream processing on MPSoCs7 citations · 2016