Corey Lammie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Sorting Algorithms

Hardware Implementation

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Publications

Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. ISCAS (2024)
Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR (2024)
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR (2024)
Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR (2024)
Ben Walters, Corey Lammie, Shuangming Yang, Mohan V. Jacob, Mostafa Rahimi Azghadi
Unsupervised character recognition with graphene memristive synapses. Neural Comput. Appl. 36 (4) (2024)
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS (2024)
Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR (2023)
Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR (2023)
Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE (2023)
Chenqi Li, Corey Lammie, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. Softw. Impacts 15 (2023)
Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. Neurocomputing 485 (2022)
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS (2022)
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR (2022)
Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Trans. Biomed. Circuits Syst. 16 (4) (2022)
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS (2022)
Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. CoRR (2022)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts. Array 13 (2022)
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. CoRR (2022)
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. MWSCAS (2022)
Jason K. Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR (2022)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction. ISCAS (2021)
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR (2021)
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR (2021)
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68 (5) (2021)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction. CoRR (2021)
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR (2020)
Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. CoRR (2020)
Corey Lammie, Mostafa Rahimi Azghadi
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures. ISCAS (2020)
Corey Lammie, Mostafa Rahimi Azghadi
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. ISCAS (2020)
Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi
Biologically Plausible Contrast Detection using a Memristor Array. ISCAS (2020)
Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14 (6) (2020)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Training Progressively Binarizing Deep Networks using FPGAs. ISCAS (2020)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Training Progressively Binarizing Deep Networks Using FPGAs. CoRR (2020)
Corey Lammie, Alex Olsen, Tony Carrick, Mostafa Rahimi Azghadi
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. IEEE Access 7 (2019)
Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi
Variation-aware Binarized Memristive Networks. CoRR (2019)
Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi
Variation-aware Binarized Memristive Networks. ICECS (2019)
Corey Lammie, Mostafa Rahimi Azghadi
Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA. ISCAS (2019)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. CoRR (2019)
Corey Lammie, Tara Julia Hamilton, André van Schaik, Mostafa Rahimi Azghadi
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2019)
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. MWSCAS (2019)
Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System. ISCAS (2018)
Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi
Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System. ISCAS (2018)