Ioannis Savva
Papers
1
Total Citations
4
H-Index
1
About
Ioannis Savva is a researcher whose work sits at the intersection of hardware reliability, approximate computing, and fault-tolerant system design. His most notable contribution is the development of an emulation-based hierarchical fault-injection framework, introduced in his highly cited 2016 paper. This framework enables a coarse-to-fine vulnerability analysis of hardware-accelerated approximate algorithms, allowing researchers to assess the impact of single event upsets (SEUs) in real-time across different design granularities. By tailoring the analysis to complex, large application-specific circuits, Savva’s work provides a practical method for identifying critical failure points without the prohibitive cost of full-scale simulation. His approach has been cited 4 times, reflecting its niche but significant impact on the field of hardware reliability. Savva’s research is particularly valuable for engineers designing energy-efficient, error-resilient systems, where understanding trade-offs between approximation accuracy and fault tolerance is essential. His contributions help bridge the gap between theoretical fault models and real-world hardware vulnerabilities, making him a key figure in advancing dependable approximate computing.
Research Focus
Key Achievements
Top Papers
- 1