Geethan Karunaratne

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Dynamically Evolving

Hardware Architectures

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi
Limits of Transformer Language Models on Algorithmic Learning. CoRR (2024)
Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
Zero-shot Classification using Hyperdimensional Computing. CoRR (2024)
Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
Zero-Shot Classification Using Hyperdimensional Computing. DATE (2024)
Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR (2023)
Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. NeurIPS (2023)
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR (2023)
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi
Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy (2023)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors. IEEE Wirel. Commun. 30 (4) (2023)
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing. CoRR (2023)
Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Factorizers for Distributed Sparse Block Codes. CoRR (2023)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. CoRR (2022)
Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. CoRR (2022)
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Constrained Few-shot Class-incremental Learning. CoRR (2022)
Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Brändli, Feng Liu, Abhairaj Singh, Silvia M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Fee Li Lie, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou
PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. IEEE J. Solid State Circuits 57 (4) (2022)
Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
In-memory factorization of holographic perceptual representations. CoRR (2022)
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. IJCNN (2022)
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Constrained Few-shot Class-incremental Learning. CVPR (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference. AICAS (2022)
Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC (2022)
Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR (2022)
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. CoRR (2022)
Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array. AICAS (2021)
Joshua Klein, Alexandre Levisse, Giovanni Ansaloni, David Atienza, Marina Zapater, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian, Davide Rossi, Francesco Conti, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF (2021)
Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing. CoRR (2021)
Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing. IEEE Trans. Circuits Syst. II Express Briefs 68 (5) (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? CoRR (2021)
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS (2021)
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet? AICAS (2021)
Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Braendli, F. Liu, A. Singh, S. M. Müller, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, S. Choi, Injo Ok, F. L. Lie, Nicole Saulnier, V. Chan, I. Ahsan, Vijay Narayanan, S. R. Nandakumar, Manuel Le Gallo, Pier Andrea Francese, Abu Sebastian, Evangelos Eleftheriou
HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing. VLSI Circuits (2021)
Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
Robust High-dimensional Memory-augmented Neural Networks. CoRR (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. ISCAS (2020)
Sergi Abadal, Robert Guirado, Hamidreza Taghvaee, Akshay Jain, Elana Pereira de Santana, Peter Haring Bolívar, Mohamed Saeed Elsayed, Renato Negra, Zhenxing Wang, Kun-Ta Wang, Max C. Lemme, Joshua Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors. CoRR (2020)
S. R. Nandakumar, Manuel Le Gallo, Christophe Piveteau, Vinay Joshi, Giovanni Mariani, Irem Boybat, Geethan Karunaratne, Riduan Khaddam-Aljameh, Urs Egger, Anastasios Petropoulos, Theodore Antonakopoulos, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou
Mixed-precision deep learning based on computational memory. CoRR (2020)
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR (2020)
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning. CoRR (2020)
Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian
In-memory hyperdimensional computing. CoRR (2019)
Abu Sebastian, Irem Boybat, Martino Dazzi, Iason Giannopoulos, Vara Prasad Jonnalagadda, Vinay Joshi, Geethan Karunaratne, Benedikt Kersting, Riduan Khaddam-Aljameh, S. R. Nandakumar, Anastasios Petropoulos, Christophe Piveteau, Theodore Antonakopoulos, Bipin Rajendran, Manuel Le Gallo, Evangelos Eleftheriou
Computational memory-based inference and training of deep neural networks. VLSI Circuits (2019)
Said Hamdioui, Hoang Anh Du Nguyen, Mottaqiallah Taouil, Abu Sebastian, Manuel Le Gallo, Sandeep Pande, Siebren Schaafsma, Francky Catthoor, Shidhartha Das, Fernando García-Redondo, Geethan Karunaratne, Abbas Rahimi, Luca Benini
Applications of Computation-In-Memory Architectures based on Memristive Devices. DATE (2019)
Evangelos Eleftheriou, Manuel Le Gallo, S. R. Nandakumar, Christophe Piveteau, Irem Boybat, Vinay Joshi, Riduan Khaddam-Aljameh, Martino Dazzi, Iason Giannopoulos, Geethan Karunaratne, Benedikt Kersting, Milos Stanisavljevic, Vara Prasad Jonnalagadda, Nikolas Ioannou, Kornilios Kourtis, Pier Andrea Francese, Abu Sebastian
Deep learning acceleration based on in-memory computing. IBM J. Res. Dev. 63 (6) (2019)
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks. CoRR (2018)
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks. COOL CHIPS (2018)
Rishan Senanayake, Namitha Liyanage, Sasindu Wijeratne, Sachille Atapattu, Kasun Athukorala, P. M. K. Tharaka, Geethan Karunaratne, R. M. A. U. Senarath, Ishantha Perera, Ashen Ekanayake, Ajith Pasqual
High performance hardware architectures for Intra Block Copy and Palette Coding for HEVC screen content coding extension. ASAP (2017)
Maleen Abeydeera, Manupa Karunaratne, Geethan Karunaratne, Kalana De Silva, Ajith Pasqual
4K Real-Time HEVC Decoder on an FPGA. IEEE Trans. Circuits Syst. Video Technol. 26 (1) (2016)