ICRC 2024: IEEE INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING 2024

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

A
alternative computation	Alternative ways of computing: what computes, what doesn't?
analog circuit	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
Analog computers	Computing with a Chemical Reservoir
analog computing	Thermodynamic Bayesian Inference Thermodynamic Algorithms for Quadratic Programming
analog memristor circuit	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
Analog mesh computers	Accelerating PDEs with Chiplet-Based Processing Chains
Approximate computing	Accelerating PDEs with Chiplet-Based Processing Chains
artificial intelligence	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture Emerging Computing Technologies for Advanced Scientific Computing Research
B
Barren plateaus	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Bayesian Inference	Thermodynamic Bayesian Inference
bio-inspired computing	Harnessing Dendritic Computation for Neuromorphic Architectures (Invited)
Biochemistry	Computing with a Chemical Reservoir
boolean satisfiability	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
C
Central Pattern Generators	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
Chiplet architectures	Accelerating PDEs with Chiplet-Based Processing Chains
circuit design	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
clock	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
CMOS	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
co-design	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT Evaluation of Ferroelectric Devices for Neuromorphic Applications
Codesign	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
collective operations	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
combinatorial optimization	Gradient matching of higher order combinatorial optimization in quadratic Ising machines Towards High-Order Ising Machine Accelerators and SAT solvers with In-Memory Computing
Compilers (program)	Computing with a Chemical Reservoir
Computational Random-Access Memory	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)
Compute-in-Memory	Architectural Considerations for Scalable Analog Ising Machines
computer architecture	Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems
computing	Evaluation of Ferroelectric Devices for Neuromorphic Applications
computing theory	Alternative ways of computing: what computes, what doesn't?
constrained environments	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Cryogenic CMOS	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
Cryogenic Memories	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
D
Deep Neural Networks	Scalable Spintronic Synapses for Analog In-Memory Computing Based on Exchange-Coupled Nanostructures StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
Delay-Nondelay Embeddings	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
dendrites	Harnessing Dendritic Computation for Neuromorphic Architectures (Invited)
Design Technology Co-Optimization	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
digital accelerators	Reliable Deep Learning Inference: From Hardware to Systems
Digital SFQ	Superconnectors: A Latency Insensitive Approach to SFQ Design
disordered systems	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
distributed computing	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Domain-specific accelerators	Accelerating PDEs with Chiplet-Based Processing Chains
E
Electrochemical memory	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
embedded computing	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
emerging devices	Developing Platforms for AI Research and Beyond
Emerging Technologies	Superconnectors: A Latency Insensitive Approach to SFQ Design
Energy Efficient Systems	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
F
ferroelectric devices	Evaluation of Ferroelectric Devices for Neuromorphic Applications
Field Programmable Gate Array	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
forward forward	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
FPGA	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Free Energy	Thermodynamic Bayesian Inference
G
Geometrical Frustration	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
graded spikes	Encoding Numbers with Graded Spikes
H
Hardware Accelerator	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
hardware accelerators	StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators Emerging Computing Technologies for Advanced Scientific Computing Research
hardware development	Developing Platforms for AI Research and Beyond
heterogenous integration	Developing Platforms for AI Research and Beyond
High Performance Computing	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
Hopfield	Architectural Considerations for Scalable Analog Ising Machines
Hopfield neural network	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
hyperdimensional computing	Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems
I
in memory computing	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
In-Memory Computing	Scalable Spintronic Synapses for Analog In-Memory Computing Based on Exchange-Coupled Nanostructures StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM) Towards High-Order Ising Machine Accelerators and SAT solvers with In-Memory Computing Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
in-network computation	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
Inference	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Ising	Architectural Considerations for Scalable Analog Ising Machines
Ising machine	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
L
Langevin Dynamics	Thermodynamic Bayesian Inference
Large Language Models	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Latency Insensitive Design	Superconnectors: A Latency Insensitive Approach to SFQ Design
learning	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
linear programming	Thermodynamic Algorithms for Quadratic Programming
LLM-powered hardware design	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
M
machine learning	Reliable Deep Learning Inference: From Hardware to Systems
Magnetic Tunnel Junction	Scalable Spintronic Synapses for Analog In-Memory Computing Based on Exchange-Coupled Nanostructures
magnetic tunneling junctions	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
maxcut	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Memristor	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects
memristors	Diffusive and drift memristors for neuromorphic and analog computing
mixed-signal demonstrator	Towards High-Order Ising Machine Accelerators and SAT solvers with In-Memory Computing
Mixture-of-Experts	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
N
Nanomagnet Arrays	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
neural network	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
neural networks	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization Diffusive and drift memristors for neuromorphic and analog computing
neuromorphic	Evaluation of Ferroelectric Devices for Neuromorphic Applications
neuromorphic computing	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing Gradient matching of higher order combinatorial optimization in quadratic Ising machines Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM Diffusive and drift memristors for neuromorphic and analog computing Harnessing Dendritic Computation for Neuromorphic Architectures (Invited)
neuromorphic encodings	Encoding Numbers with Graded Spikes
neuromorphic engineering	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Neuromorphic Hardware	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
neuroprocessors	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Non-volatile Memory	Scalable Spintronic Synapses for Analog In-Memory Computing Based on Exchange-Coupled Nanostructures
NP-hard	Architectural Considerations for Scalable Analog Ising Machines
O
optical communication network	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
optical computing	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
optimization	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
oscillatory computing	Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems
P
PageRank Algorithm	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
Parameter initialization	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Parameterized quantum circuits	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Physical reservoir computing	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
Physics-informed neural networks	Accelerating PDEs with Chiplet-Based Processing Chains
physics-inspired computing	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Protein Network Analysis	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
prototyping platform	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects
Q
quadratic optimization	Thermodynamic Algorithms for Quadratic Programming
Quality-of-Service	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
quantum circuits
Quantum Compilation	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Quantum Computing	Neural Network Enhanced Robustness for Noisy Quantum Applications
quantum control
Quantum Error Mitigation	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Quantum Noise	Neural Network Enhanced Robustness for Noisy Quantum Applications
quantum operating system
Quantum Robustness	Neural Network Enhanced Robustness for Noisy Quantum Applications
Quantum Software	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
quasi-adiabatic	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
R
Reconfigurable Computing	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
Reservoir	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Reservoir computing	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
Resistive memory	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Resistive Random-Access Memory	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)
Resource	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
reversible computing	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
Robotics	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
RRAM	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
S
Scientific computing	Accelerating PDEs with Chiplet-Based Processing Chains Emerging Computing Technologies for Advanced Scientific Computing Research
SPICE	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
spiking neural networks	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing Evaluation of Ferroelectric Devices for Neuromorphic Applications Encoding Numbers with Graded Spikes A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
Stochastic Computing	StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
Superconducting Electronics	Superconnectors: A Latency Insensitive Approach to SFQ Design
systolic arrays	Reliable Deep Learning Inference: From Hardware to Systems
T
thermodynamic computing	Thermodynamic Bayesian Inference Thermodynamic Algorithms for Quadratic Programming
U
uncertainty quantification	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
universal turing machines	Alternative ways of computing: what computes, what doesn't?
V
Variational quantum algorithms	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms

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