5 papers
Quantization Effects of Artificial Neural Networks for Embedded Edge-Computing Applications
Alperen Aksoy, Ilja Bekman, Vesselin Dimitrov +7
This paper examines the use of Quantized Neural Networks (QNNs) for two resource-constrained scientific applications: automated calibration of semi- conductor quantum bits (qubits)…
2T1R Regulated Memristor Conductance Control Array Architecture for Neuromorphic Computing using 28nm CMOS Technology
Neethu Kuriakose, Arun Ashok, Christian Grewing +2
Memristors are promising devices for scalable and low power, in-memory computing to improve the energy efficiency of a rising computational demand. The crossbar array architecture…
Concept of a System-on-Chip Research Platform Benchmarking Interaction of Memristor-based Bio-inspired Computing Paradigms
Christian Grewing, Arun Ashok, Sabitha Kusuma +3
A system architecture is suggested for a System on Chip that will combine several different memristor-based, bio-inspired computation arrays with inter- and intra-chip communicatio…
Self Clocked Digital LDO for Cryogenic Power Management in 22nm FDSOI with 98 Percent Efficiency
A. Ashok, A. Cabrera, S. Baje +4
A universal quantum computer~(QC), though promising ground breaking solutions to complex problems, still faces several challenges with respect to scalability. Current state-of-the-…
Design Space Exploration for Particle Detector Read-out Implementations in Matlab and Simulink on the Example of the SHiP SBT
Florian Rössing, David Arutinov, Alessia Brignoli +6
On a very fundamental level, particle detectors share similar requirements for their read-out chain. This is reflected in the way that typical read-out solutions are developed, whe…