ICRC 2024: IEEE INTERNATIONAL CONFERENCE ON REBOOTING COMPUTING 2024

A
Abe, Yuki	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
Achinuq, Barat	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Aguirre-Morales, Jorge-Daniel	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Aifer, Maxwell	Thermodynamic Algorithms for Quadratic Programming Thermodynamic Bayesian Inference
Aimone, James	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Alam, Sakila	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
Amirany, Abdolah	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Anand, Shreenidhi	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Anderson, Jeff	Accelerating PDEs with Chiplet-Based Processing Chains
Ando, Kota	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
Angizi, Shaahin	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
Araujo, Kevin	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
Arzate, Jared	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Asai, Tetsuya	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
B
Belateche, Zach	Thermodynamic Bayesian Inference
Bhattacharya, Tinish	Towards High-Order Ising Machine Accelerators and SAT solvers with In-Memory Computing
Bohm Agostini, Nicolas	Computing with a Chemical Reservoir
Boquet, Marc	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Borders, William	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)
Boussard, Sebastien	Evaluation of Ferroelectric Devices for Neuromorphic Applications
Breslawski, Daniel	Neural Network Enhanced Robustness for Noisy Quantum Applications
Brunner, Nicolas	Thermodynamic Algorithms for Quadratic Programming
C
Cannon, William	Computing with a Chemical Reservoir
Cardwell, Suma	Harnessing Dendritic Computation for Neuromorphic Architectures (Invited) Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Cauwenberghs, Gert	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Cheung, Sen-Ching	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Chong, Frederic T.	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Chowdhury, Rownak	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
Coles, Patrick J.	Thermodynamic Algorithms for Quadratic Programming Thermodynamic Bayesian Inference
Crimmins, Aden	Neural Network Enhanced Robustness for Noisy Quantum Applications
Crooks, Gavin	Thermodynamic Bayesian Inference
D
Dalgaty, Thomas	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
Dangwal, Siddharth	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Das, Poulami	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Deiss, Stephen	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Dent, Keegan	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Diallo, Mamadou Hawa	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Dobrynin, Dmitrii	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Donatella, Kaelan	Thermodynamic Algorithms for Quadratic Programming Thermodynamic Bayesian Inference
Drouhin, Marie	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Duffield, Samuel	Thermodynamic Bayesian Inference
E
Edwards, Patrick	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
El-Ghazawi, Tarek	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations Accelerating PDEs with Chiplet-Based Processing Chains Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Ereifej, Joseph	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
F
Fauruque, Hossain Mansur Resalat	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Frank, Gwenevere	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
G
Ghosh, Arnob	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
Gibb, Leif	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Glasmann, Andreu L.	Evaluation of Ferroelectric Devices for Neuromorphic Applications
Gretsch, Rhys	Superconnectors: A Latency Insensitive Approach to SFQ Design
Gullett, Bryson	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Gupte, Kshemal K.	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
H
Hagopian, Kaylin	Encoding Numbers with Graded Spikes
Harabi, Kamel-Eddine	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Hasler, Jennifer	Architectural Considerations for Scalable Analog Ising Machines
Hassan, Usman	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Hastings, Todd	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Heittmann, Arne	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Hirtzlin, Tifenn	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects
Hirtzlin, Tifenn	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Holtzman, Natan	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Hoskins, Brian	Developing Platforms for AI Research and Beyond
Hota, Gopabandhu	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
I
Iftakher, Mohammed Akib	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Imani, Hamidreza	Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
Imbert, Bastien	Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Incorvia, Jean Anne	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
J
Johnson, Connah	Computing with a Chemical Reservoir
K
Kashif, Muhammad	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Klett, Phoebe	Thermodynamic Bayesian Inference
Kubendran, Rajkumar	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
L
Leugering, Johannes	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Lipka-Bartosik, Patryk	Thermodynamic Algorithms for Quadratic Programming
Lopez Alarcon, Sonia	Neural Network Enhanced Robustness for Noisy Quantum Applications
M
Ma, Xiaoxuan	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
Madhavan, Advait	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)
Maicke, Andrew	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Malfante, Marielle	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
Marinella, Matthew	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Martinez, Antonio	Thermodynamic Bayesian Inference
Mathews, Pranav	Architectural Considerations for Scalable Analog Ising Machines
Matsuno, Shimon	Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction
McCarter, Margaret	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
McClelland, Jabez	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)
Melanson, Denis	Thermodynamic Algorithms for Quadratic Programming Thermodynamic Bayesian Inference
Mugdho, Sohan Salahuddin	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
Mulet, Ian	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
N
Nadji-Tehrani, Mohammad	A Configurable CPG Controller using Connectome based SNN on FPGA for Robot Locomotion
Najmaei, Sina	Evaluation of Ferroelectric Devices for Neuromorphic Applications
Noronha, Daniel	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
O
Olajide, Omowuyi	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Olin-Ammentorp, Wilkie	Hyperdimensional Computing Provides Computational Paradigms for Oscillatory Systems
Orlov, Alexei	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
P
Patel, Karan	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Peng, Jiaxin	PRACO: A Photonic Residue-Number Architecture Support for Collective Operations
Perarnau-Llobet, Marti	Thermodynamic Algorithms for Quadratic Programming
Pino, Robinson	Emerging Computing Technologies for Advanced Scientific Computing Research
Plank, James	Evaluation of Ferroelectric Devices for Neuromorphic Applications The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Portal, Jean-Michel	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Puckett, Daniel	Encoding Numbers with Graded Spikes
Q
Querlioz, Damien	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
R
Rahman, Mostafizur	Accelerating PageRank Algorithmic Tasks with a new Programmable Hardware Architecture
Ravi, Gokul Subramanian	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Renaudineau, Adrien	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Rivet, Bertrand	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
Rizzo, Charles	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing
Rogers, Ethan G.	StoX-Net: Stochastic Processing of Partial Sums for Efficient In-Memory Computing DNN Accelerators
Rummens, François	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
S
Saligram, Rakshith	Making CMOS Cool Again – Cryogenic CMOS for High Performance Computing
Schuman, Catherine	Evaluation of Ferroelectric Devices for Neuromorphic Applications The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Seifert, Lennart Maximilian	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Shafique, Muhammad	The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Sherwood, Timothy	Superconnectors: A Latency Insensitive Approach to SFQ Design
Smith, Caroline	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Smith, J. Darby	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Snider, Gregory	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
Sri Vatsavai, Sairam	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Steed, Julia	Evaluation of Ferroelectric Devices for Neuromorphic Applications
Strachan, John Paul	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Sud, James	COMPASS: Compiler Pass SelectionFor Improving Fidelity Of NISQ Applications
Szakmany, Gergo	Development of power clock MEMs for applications in reversible quasi-adiabatic logic
T
Tedeschi, Mauricio	Gradient matching of higher order combinatorial optimization in quadratic Ising machines
Teuscher, Christof	Alternative ways of computing: what computes, what doesn't?
Thakkar, Ishan	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Theilman, Bradley	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT
Ti, Changpeng	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Tumeo, Antonino	Computing with a Chemical Reservoir
Turck, Clément	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
U
Uppal, Abhinav	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
V
Valley, George	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Vasdev, Aastha	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Vianello, Elisa	A Hybrid RRAM-CMOS Platform for Prototyping Digital and Analog Projects Forward-Forward Learning on RRAM: Algorithm and Low-Voltage Reset Co-Optimization
Voegtle, Matthew	Accurate and Efficient Reservoir Computing with a Multifunctional Proton-Copper ECRAM
Vu, Phan Anh	Compressed vector-matrix multiplication for Memristor-based ensemble neural networks
Vungarala, Deepak	SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance
W
Wang, Cheng	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
Wang, Keli	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Wang, Qingbo	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Welp, Ulrich	Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
Y
Yang, J. Joshua	Diffusive and drift memristors for neuromorphic and analog computing
Yoshimoto, Kenneth	HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
Z
Zhang, Jeff	Reliable Deep Learning Inference: From Hardware to Systems
Zink, Brandon	Exploration of the viability of TiN/TiOX ReRAM in Computational Random-Access Memory (CRAM)

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