ICRC 2023: THE 8TH IEEE INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING (ICRC) 2023

This page contains an index consisting of author-provided keywords.

3
3D integration	Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence
A
Accelerator	Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator
adiabatic quantum computation	Design of General Purpose Minimal-Auxiliary Ising Machines
AI	Thermodynamic AI and the Fluctuation Frontier
AI-guided Codesign	Device Discovery for Magnetic Tunnel Junctions using Reinforcement Learning
algorithms	Design of General Purpose Minimal-Auxiliary Ising Machines
Analog	Thermodynamic AI and the Fluctuation Frontier
analog circuits	Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
Analog Readout	BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
Analog Sorting	BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
annealing	Design of General Purpose Minimal-Auxiliary Ising Machines
Approximate Computing	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
archival storage	Reducing Read Amplification and Re-synthesis in DNA-based Archival Storage
Array Multiplier	Quantum Array Multiplier
Artificial Intelligence	Thermodynamic AI and the Fluctuation Frontier A Crisis in Computing
artificial neural networks	Synaptic Sampling of Neural Networks
B
Bayesian neural networks	Synaptic Sampling of Neural Networks
Beyond CMOS	Beyond CMOS/Emerging Materials Integration with ties to ESHS and Energy Harvesting Beyond CMOS Technology Issues and Critical Considerations
boolean analysis	Design of General Purpose Minimal-Auxiliary Ising Machines
boolean optimization	Design of General Purpose Minimal-Auxiliary Ising Machines
brain-inspired computing	A Memcomputing Approach to Prime Factorization RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing
C
cascaded information flow	Reconfigurable functionalities for neuromorphic computing
Chips Act	The Engine of the Chips Acts Around the World
Clifford gates	Optimal Clifford Initial States for Ising Hamiltonians
Closing Remarks	Closing Remarks
Clustering	Clustering Vehicle Routing Problems on Specialized Hardware
CMOS image sensor	Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence
CMOS processors	Limits to the Energy Efficiency of CMOS Microprocessors
Codesign	Deep Codesign in the Post-Exascale Computing Era
cold-CMOS	Low Temperature Hybrid Electronics for Next Generation Computing
Combinatorial Optimization	Accelerating VQE Algorithm via Parameters and Measurement Reuse
compilation	High-Speed Compilation of Large-Scale Stochastic Circuits
complexity theory	Design of General Purpose Minimal-Auxiliary Ising Machines
Computational complexity	Thermodynamic Linear Algebra
Computational RAM	PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing
Computing	Thermodynamic AI and the Fluctuation Frontier
correlation control	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits
cryo-CMOS	Low Temperature Hybrid Electronics for Next Generation Computing
Cu–Cu connections	Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence
D
decoders	Testing the Accuracy of Surface Code Decoders
deep learning	Enhancing Spiking Deep Learning with Dendrites
dendrites	Enhancing Spiking Deep Learning with Dendrites This Is The Way: Routing Neuroscience to Neuromorphic Applications
dendritic computation	Enhancing Spiking Deep Learning with Dendrites
Diffusion	Thermodynamic AI and the Fluctuation Frontier
DNA-based data storage	Reducing Read Amplification and Re-synthesis in DNA-based Archival Storage
Dynamic Reconfigurability	Dynamically Reconfigurable Electrochemical Random Access Memory Device for Neuromorphic Computing
E
edge computing	Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator
edge detection	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits
Electrochemical Random Access Memory	Dynamically Reconfigurable Electrochemical Random Access Memory Device for Neuromorphic Computing
Electronic Design Automation	An FPGA-based Neuromorphic Processor with All-To-All Connectivity
Encryption/decryption	Memristor-Based Dual Conditional In-Memory Computing
Energy efficiency	Limits to the Energy Efficiency of CMOS Microprocessors
Event-Driven Algorithm	BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
F
Factored Gradient Descent	Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
Fault-tolerance	Dendrite-inspired Computing to improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
fluorescence	A Proof-of-Concept Prototyping of Reservoir Computing with Quantum Dots and an Image Sensor for Image Classification
FPGA	Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
FPGA Design	An FPGA-based Neuromorphic Processor with All-To-All Connectivity
G
Graph theoretic optimization	Optimal Clifford Initial States for Ising Hamiltonians
H
Hardware Accelerators	Clustering Vehicle Routing Problems on Specialized Hardware
high performance energy-efficient computing	Low Temperature Hybrid Electronics for Next Generation Computing
hopfield network	Design of General Purpose Minimal-Auxiliary Ising Machines
Hyperdimensional computing	RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing
I
ICRC	Welcome and IRDS Past, Present, and Future The Engine of the Chips Acts Around the World Beyond CMOS/Emerging Materials Integration with ties to ESHS and Energy Harvesting Beyond CMOS Technology Issues and Critical Considerations Closing Remarks
image classification	A Proof-of-Concept Prototyping of Reservoir Computing with Quantum Dots and an Image Sensor for Image Classification
image processing	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits
in-memory computing	Design of General Purpose Minimal-Auxiliary Ising Machines Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing Memristor-Based Dual Conditional In-Memory Computing
in-pixel computing	Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence
inhibitory functionality	Reconfigurable functionalities for neuromorphic computing
Intel Quantum SDK	Intel Quantum SDK: Hybrid Quantum-Classical Programming Tools
Introduction	Welcome and IRDS Past, Present, and Future
IRDS	Welcome and IRDS Past, Present, and Future The Engine of the Chips Acts Around the World Beyond CMOS/Emerging Materials Integration with ties to ESHS and Energy Harvesting Beyond CMOS Technology Issues and Critical Considerations Closing Remarks
ising computer	Design of General Purpose Minimal-Auxiliary Ising Machines
ising hamiltonian	Design of General Purpose Minimal-Auxiliary Ising Machines
ising machine	Design of General Purpose Minimal-Auxiliary Ising Machines
ising model	Design of General Purpose Minimal-Auxiliary Ising Machines
Ising models	Optimal Clifford Initial States for Ising Hamiltonians
ising systems	Design of General Purpose Minimal-Auxiliary Ising Machines
L
large scale	Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits High-Speed Compilation of Large-Scale Stochastic Circuits
Limits	Limits to the Energy Efficiency of CMOS Microprocessors
Linear algebra	Thermodynamic Linear Algebra
linear programming	Design of General Purpose Minimal-Auxiliary Ising Machines
LLVM-Based Quantum Compiler	Intel Quantum SDK: Hybrid Quantum-Classical Programming Tools
logic synthesis	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits
M
machine learning	Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing Enhancing Spiking Deep Learning with Dendrites
Magnetic Tunnel Junctions (MTJ)	Device Discovery for Magnetic Tunnel Junctions using Reinforcement Learning
memcomputing	A Memcomputing Approach to Prime Factorization
memory-based computing	A Memcomputing Approach to Prime Factorization
Memristor	Memristor-Based Dual Conditional In-Memory Computing
memristor crossbars	Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
Microelectronics Codesign	Device Discovery for Magnetic Tunnel Junctions using Reinforcement Learning
Mixed-Signal Approach	BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
Modeling	Limits to the Energy Efficiency of CMOS Microprocessors
MTJ	PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing
N
Near-sensor computing	Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator
neural networks	Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks
Neuro-inspired computing	Dendrite-inspired Computing to improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
Neuromorphic Addition	Arithmetic Primitives for Efficient Neuromorphic Computing
Neuromorphic Algorithm	An FPGA-based Neuromorphic Processor with All-To-All Connectivity
Neuromorphic Algorithms	Arithmetic Primitives for Efficient Neuromorphic Computing
Neuromorphic Architecture	An FPGA-based Neuromorphic Processor with All-To-All Connectivity Deep Codesign in the Post-Exascale Computing Era
neuromorphic computing	An FPGA-based Neuromorphic Processor with All-To-All Connectivity Arithmetic Primitives for Efficient Neuromorphic Computing Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing Synaptic Sampling of Neural Networks Performance comparison of memristor crossbar-based analog and FPGA-based digital weight-memory-less neural networks This Is The Way: Routing Neuroscience to Neuromorphic Applications Dynamically Reconfigurable Electrochemical Random Access Memory Device for Neuromorphic Computing Deep Codesign in the Post-Exascale Computing Era
Neuromorphic Encoding	Arithmetic Primitives for Efficient Neuromorphic Computing
Neuromorphic Hardware	An FPGA-based Neuromorphic Processor with All-To-All Connectivity
Neuromorphic Implementation	An FPGA-based Neuromorphic Processor with All-To-All Connectivity
Neuromorphic Multiplication	Arithmetic Primitives for Efficient Neuromorphic Computing
neuromorpic co-design	This Is The Way: Routing Neuroscience to Neuromorphic Applications
neuron computation	This Is The Way: Routing Neuroscience to Neuromorphic Applications
neuroscience	This Is The Way: Routing Neuroscience to Neuromorphic Applications
new paradigms	Unconventional Computing's False Promises?
Noise models	Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
non-classical computing	Unconventional Computing's False Promises?
Non-convex optimization	Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
non-von Neumann computer architectures	A Memcomputing Approach to Prime Factorization
Nonstateful logic	Memristor-Based Dual Conditional In-Memory Computing
NP	Design of General Purpose Minimal-Auxiliary Ising Machines
P
physical computing	A Memcomputing Approach to Prime Factorization BuzzSort: A Linear-Time, Event-Driven Data Conversion and Sorting Framework for Approximate Computing Architectures
Physics-based computing	Thermodynamic Linear Algebra
Physics-based models	Limits to the Energy Efficiency of CMOS Microprocessors
probabilistic computing	Design of General Purpose Minimal-Auxiliary Ising Machines Synaptic Sampling of Neural Networks Device Discovery for Magnetic Tunnel Junctions using Reinforcement Learning
Processing-in-memory	PimCity: A Compute in Memory Substrate featuring both Row and Column Parallel Computing
pseudo boolean optimization	Design of General Purpose Minimal-Auxiliary Ising Machines
Q
quadratization	Design of General Purpose Minimal-Auxiliary Ising Machines
quantum circuit optimisation	Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits
Quantum Computing	Design of General Purpose Minimal-Auxiliary Ising Machines Optimal Clifford Initial States for Ising Hamiltonians Quantum Array Multiplier Intel Quantum SDK: Hybrid Quantum-Classical Programming Tools Prospect for Practical Applications using Quantum Computers
quantum dots	A Proof-of-Concept Prototyping of Reservoir Computing with Quantum Dots and an Image Sensor for Image Classification
quantum error correction	Testing the Accuracy of Surface Code Decoders
Quantum Fourier Transform	Quantum Array Multiplier
Quantum Hardware	Prospect for Practical Applications using Quantum Computers
Quantum Multiplication	Quantum Array Multiplier
Quantum Process Tomography	Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat
Quantum Runtime	Intel Quantum SDK: Hybrid Quantum-Classical Programming Tools
Quantum-inspired	Clustering Vehicle Routing Problems on Specialized Hardware
R
read amplification	Reducing Read Amplification and Re-synthesis in DNA-based Archival Storage
reconfigurable electronics	Reconfigurable functionalities for neuromorphic computing
reinforcement learning	Cost Explosion for Efficient Reinforcement Learning Optimisation of Quantum Circuits Device Discovery for Magnetic Tunnel Junctions using Reinforcement Learning
Reliability	Dendrite-inspired Computing to improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
ReRAM	Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing
reservoir computing	A Proof-of-Concept Prototyping of Reservoir Computing with Quantum Dots and an Image Sensor for Image Classification
Resilience	Dendrite-inspired Computing to improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
Resistive RAMs	Dendrite-inspired Computing to improve Resilience of Neural Networks to Faults in Emerging Memory Technologies
S
Single-pass learning	RefineHD: Accurate and Efficient Single-Pass Adaptive Learning Using Hyperdimensional Computing
Spiking Neural Network (SNN)	An FPGA-based Neuromorphic Processor with All-To-All Connectivity Arithmetic Primitives for Efficient Neuromorphic Computing
spiking neural networks	Enhancing Spiking Deep Learning with Dendrites
spin glasses	Design of General Purpose Minimal-Auxiliary Ising Machines
Stochastic	Thermodynamic AI and the Fluctuation Frontier
stochastic computing	Mitigating the Correlation Problem in Multi-Layer Stochastic Circuits High-Speed Compilation of Large-Scale Stochastic Circuits
stochastic devices	Synaptic Sampling of Neural Networks
storage system design	Reducing Read Amplification and Re-synthesis in DNA-based Archival Storage
superconductor electronics	Low Temperature Hybrid Electronics for Next Generation Computing
support vector machine	Design of General Purpose Minimal-Auxiliary Ising Machines
surface code	Testing the Accuracy of Surface Code Decoders
svm	Design of General Purpose Minimal-Auxiliary Ising Machines
T
Thermal neuristors	Reconfigurable functionalities for neuromorphic computing
thermodynamic computing	Thermodynamic Linear Algebra A Crisis in Computing
thermodynamicalism	A Crisis in Computing
Thermodynamics	Thermodynamic AI and the Fluctuation Frontier
threshold functions	Design of General Purpose Minimal-Auxiliary Ising Machines
Trapped Ion Quantum Computing	Prospect for Practical Applications using Quantum Computers
U
unconventional computing	Unconventional Computing's False Promises?
V
Vanadium Oxide	Dynamically Reconfigurable Electrochemical Random Access Memory Device for Neuromorphic Computing
Variational Quantum Algorithms	Accelerating VQE Algorithm via Parameters and Measurement Reuse Optimal Clifford Initial States for Ising Hamiltonians Intel Quantum SDK: Hybrid Quantum-Classical Programming Tools
Variational Quantum Eigensolvers	Accelerating VQE Algorithm via Parameters and Measurement Reuse
vector matrix multiply	Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing
Vehicle Routing Problem	Clustering Vehicle Routing Problems on Specialized Hardware

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