Johannes Maximilian Kühn

Affiliations:
  • University of Tübingen, Germany


According to our database1, Johannes Maximilian Kühn authored at least 14 papers between 2013 and 2021.

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Bibliography

2021
MN-Core - A Highly Efficient and Scalable Approach to Deep Learning.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

A Highly Efficient Layout-Aware FPGA Overlay Accelerator Mapping Method.
Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

2020
Accuracy-Aware Memory Allocation to Mitigate BRAM Errors for Voltage Underscaling on FPGA Overlay Accelerators.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

2019
Building Scalable and Highly Efficient Accelerators Near the End of Conventional Scaling.
Proceedings of the 13th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2019

2018
Asymmetric Body Bias Control With Low-Power FD-SOI Technologies: Modeling and Power Optimization.
IEEE Trans. Very Large Scale Integr. Syst., 2018

2017
Leveraging asymmetric body bias control for low power LSI design.
Proceedings of the 2017 IEEE Symposium in Low-Power and High-Speed Chips, 2017

2016
Leveraging FDSOI through body bias domain partitioning and bias search.
Proceedings of the 53rd Annual Design Automation Conference, 2016

MuCCRA4-BB: A fine-grained body biasing capable DRP.
Proceedings of the 2016 IEEE Symposium in Low-Power and High-Speed Chips, 2016

2015
Adaptive multi-layer techniques for increased system dependability.
it Inf. Technol., 2015

Spatial and temporal granularity limits of body biasing in UTBB-FDSOI.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

Fined-grained body biasing for frequency scaling in advanced SOI processes.
Proceedings of the 2015 IEEE Symposium in Low-Power and High-Speed Chips, 2015

2014
Resilience Articulation Point (RAP): Cross-layer dependability modeling for nanometer system-on-chip resilience.
Microelectron. Reliab., 2014

2013
Testing reliability techniques for SoCs with fault tolerant CGRA by using live FPGA fault injection.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013

A Fast and Accurate FPGA-Based Fault Injection System.
Proceedings of the 21st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2013


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