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01/25/2023
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits
Exascale computing and its associated applications have required increas...
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01/24/2023
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits
Since the development of semiconductor technologies, exascale computing ...
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04/25/2022
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
To enable heterogeneous computing systems with autonomous programming an...
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11/08/2021
Trust-aware Control for Intelligent Transportation Systems
Many intelligent transportation systems are multi-agent systems, i.e., b...
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10/13/2021
Practice Problems for Hardware Engineers
This book is to help undergraduate and graduate students of electrical a...
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01/28/2021
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text
Social media became popular and percolated almost all aspects of our dai...
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10/11/2020
SANSCrypt: A Sporadic-Authentication-Based Sequential Logic Encryption Scheme
We propose SANSCrypt, a novel sequential logic encryption scheme to prot...
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10/09/2020
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
High-level applications, such as machine learning, are evolving from sim...
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07/03/2020
Deep-PowerX: A Deep Learning-Based Framework for Low-Power Approximate Logic Synthesis
This paper aims at integrating three powerful techniques namely Deep Lea...
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04/05/2020
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats – A Network Theoretic, Learning Approach
We propose a framework for the design and optimization of a secure self-...
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04/05/2020
Efficient Task Mapping for Manycore Systems
System-on-chip (SoC) has migrated from single core to manycore architect...
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02/13/2020
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework
The shrinking of transistor geometries as well as the increasing complex...
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02/13/2020
CSM-NN: Current Source Model Based Logic Circuit Simulation – A Neural Network Approach
The miniaturization of transistors down to 5nm and beyond, plus the incr...
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02/12/2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space
Recent advances in the field of artificial intelligence have been made p...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers – A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based
Cloud computing has attracted both end-users and Cloud Service Providers...
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12/20/2019
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers
Cloud computing has attracted both end-users and Cloud Service Providers...
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02/01/2019
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays
Memory accounts for a considerable portion of the total power budget and...
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02/01/2019
Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach
Approximate Logic Synthesis (ALS) is the process of synthesizing and map...
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03/28/2018
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators
Thermoelectric generation (TEG) has increasingly drawn attention for bei...
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07/06/2017
