137 citations · 177 across the 6 of their papers we have counts for
7 papers
Approximate Computing and the Efficient Machine Learning Expedition
Jörg Henkel, Hai Li, Anand Raghunathan +4
Approximate computing (AxC) has been long accepted as a design alternative for efficient system implementation at the cost of relaxed accuracy requirements. Despite the AxC researc…
Agent-based Constraint Solving for Resource Allocation in Manycore Systems
Volker Wenzel, Lars Bauer, Wolfgang Schröder-Preikschat +1
For efficiency reasons, manycore systems are increasingly heterogeneous, which makes the mapping of complex workloads a key problem with a high optimization potential. Constraints…
Hardware Approximate Techniques for Deep Neural Network Accelerators: A Survey
Giorgos Armeniakos, Georgios Zervakis, Dimitrios Soudris +1
Deep Neural Networks (DNNs) are very popular because of their high performance in various cognitive tasks in Machine Learning (ML). Recent advancements in DNNs have brought beyond…
Automated Design Approximation to Overcome Circuit Aging
Konstantinos Balaskas, Georgios Zervakis, Hussam Amrouch +2
Transistor aging phenomena manifest themselves as degradations in the main electrical characteristics of transistors. Over time, they result in a significant increase of cell propa…
Power Side-Channel Attacks in Negative Capacitance Transistor (NCFET)
Johann Knechtel, Satwik Patnaik, Mohammed Nabeel +5
Side-channel attacks have empowered bypassing of cryptographic components in circuits. Power side-channel (PSC) attacks have received particular traction, owing to their non-invasi…
Hardware Trojan Detection Using Controlled Circuit Aging
Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch +4
This paper reports a novel approach that uses transistor aging in an integrated circuit (IC) to detect hardware Trojans. When a transistor is aged, it results in delays along sever…