Andreas Weichslgartner
Papers
2
Total Citations
24
H-Index
2
About
Andreas Weichslgartner is a researcher specializing in parallel computing, embedded systems, and multi-processor system-on-chip (MPSoC) architectures, with a particular focus on predictable execution in real-time and safety-critical environments. His work sits at the intersection of programming languages, compilation techniques, and invasive computing — a paradigm that enables dynamic resource allocation across processor cores to meet stringent performance guarantees. His most cited contribution, "Language and Compilation of Parallel Programs for \*-Predictable MPSoC Execution Using Invasive Computing" (2016, 17 citations), addresses one of the central challenges in modern embedded systems: ensuring that multi-core architectures can reliably meet requirements for timeliness, power consumption, and fault tolerance, moving beyond best-effort behavior toward verifiable guarantees. His complementary work on timing-predictable stream processing (2016, 7 citations) further demonstrates his commitment to tackling interference and uncertainty in real-time MPSoC applications. Weichslgartner's research is particularly valuable for engineers and system designers working on safety-critical applications — such as automotive or aerospace systems — where predictability is not optional but essential. His contributions help bridge the gap between high-performance parallel computing and dependable, real-time embedded deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2Invasive computing for timing-predictable stream processing on MPSoCs7 citations · 2016