S
Saman Kiamehr
Researcher at Bosch
Publications - 71
Citations - 893
Saman Kiamehr is an academic researcher from Bosch. The author has contributed to research in topics: Very-large-scale integration & Negative-bias temperature instability. The author has an hindex of 18, co-authored 71 publications receiving 793 citations. Previous affiliations of Saman Kiamehr include Karlsruhe Institute of Technology.
Papers
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Proceedings ArticleDOI
Aging-aware logic synthesis
TL;DR: An aging-aware logic synthesis approach is proposed to increase circuit lifetime with respect to a specific guardband and shows that the proposed approach improves circuit lifetime in average by more than 3X with negligible impact on area.
Proceedings ArticleDOI
Analysis of transient voltage fluctuations in FPGAs
TL;DR: This work implemented and calibrated sensors in configurable logic appropriate to observe delay changes caused by transient voltage fluctuations, and places them at multiple locations on the chip to evaluate temporal and spatial changes in timing margin due to different workload-characteristics.
Proceedings ArticleDOI
NBTI mitigation by optimized NOP assignment and insertion
TL;DR: This work obtains the instruction, along with the operands, with minimal NBTI degradation, to be used as NOP, and proposed two methods, software-based and hardware-based, to replace the original NOP with this maximum aging reduction NOP.
Proceedings ArticleDOI
Aging mitigation in memory arrays using self-controlled bit-flipping technique
Anteneh Gebregiorgis,Mojtaba Ebrahimi,Saman Kiamehr,Fabian Oboril,Said Hamdioui,Mehdi B. Tahoori +5 more
TL;DR: A low cost self-controlled bit-flipping technique which inverts all bit positions with respect to an existing bit is proposed which is applied to a register-file and cache units of an embedded microprocessor and results show that the reliability of the proposed technique is similar to that of existing bit-Flipping techniques, while imposing 64% less area overhead.
Journal ArticleDOI
Power-Aware Minimum NBTI Vector Selection Using a Linear Programming Approach
TL;DR: This paper presents an efficient input vector selection technique based on linear programming for cooptimizing the NBTI-induced delay degradation and leakage power consumption during standby mode and provides a pareto curve based on both phenomena.