Geethan Karunaratne

According to our database, Geethan Karunaratne authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Limits of Transformer Language Models on Learning Algorithmic Compositions.

Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi

CoRR, 2024

Zero-shot Classification using Hyperdimensional Computing.

Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi

CoRR, 2024

2023

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks.

Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors.

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

IEEE Wirel. Commun., August, 2023

WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing.

Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Raw data related to In-memory factorization of holographic perceptual representations.

Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi

Dataset, February, 2023

Few-Shot Continual Learning Based on Vector Symbolic Architectures.

Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

In-memory Vector Symbolic Architectures.

Geethan Karunaratne

PhD thesis, 2023

TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing.

Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi

CoRR, 2023

Factorizers for Distributed Sparse Block Codes.

Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi

CoRR, 2023

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition.

Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoding Superpositions of Bound Symbols Represented by Distributed Representations.

Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022

HERMES-Core - A 1.59-TOPS/mm² PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs.

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

IEEE J. Solid State Circuits, 2022

A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks.

Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi

IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.

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

CoRR, 2022

In-memory factorization of holographic perceptual representations.

Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi

CoRR, 2022

Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing.

Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal

Proceedings of the International Joint Conference on Neural Networks, 2022

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.

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

Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

Constrained Few-shot Class-incremental Learning.

Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference.

Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.

Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi

IEEE Trans. Circuits Syst. II Express Briefs, 2021

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.

Riduan Khaddam-Aljameh, Milos Stanisavljevic, Jordi Fornt Mas, Geethan Karunaratne, Matthias Braendli, Femg 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

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator.

Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH).

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

Proceedings of the CF '21: Computing Frontiers Conference, 2021

End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?

Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array.

Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors.

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

CoRR, 2020

Robust High-dimensional Memory-augmented Neural Networks.

Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi

CoRR, 2020

Mixed-precision deep learning based on computational memory.

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

CoRR, 2020

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.

Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Deep learning acceleration based on in-memory computing.

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

IBM J. Res. Dev., 2019

In-memory hyperdimensional computing.

Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian

CoRR, 2019

Computational memory-based inference and training of deep neural networks.

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

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Applications of Computation-In-Memory Architectures based on Memristive Devices.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks.

Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini

Proceedings of the 2018 IEEE Symposium in Low-Power and High-Speed Chips, 2018

2017

High performance hardware architectures for Intra Block Copy and Palette Coding for HEVC screen content coding extension.

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

Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2016

4K Real-Time HEVC Decoder on an FPGA.

Maleen Abeydeera, Manupa Karunaratne, Geethan Karunaratne, Kalana De Silva, Ajith Pasqual

IEEE Trans. Circuits Syst. Video Technol., 2016