Geethan Karunaratne

53 papers A* 2A 3B 1C 3Journal 33Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Limits of Transformer Language Models on Learning Algorithmic Compositions.
CoRR
Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi
2024 J jnl
On the Role of Noise in Factorizers for Disentangling Distributed Representations.
CoRR
Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi
2024 A conf
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization.
ECAI
Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024 J jnl
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization.
CoRR
Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi
2024 A conf
Zero-Shot Classification Using Hyperdimensional Computing.
DATE
Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2024 J jnl
Zero-shot Classification using Hyperdimensional Computing.
CoRR
Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2023 C conf
Decoding Superpositions of Bound Symbols Represented by Distributed Representations.
NeSy
Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi
2023 J jnl
Factorizers for Distributed Sparse Block Codes.
CoRR
Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2023 — ch.
Few-Shot Continual Learning Based on Vector Symbolic Architectures.
Compendium of Neurosymbolic Artificial Intelligence
Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi
2023 J jnl
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks.
IEEE Trans. Neural Networks Learn. Syst.
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
2023 J jnl
Graphene-Based Wireless Agile Interconnects for Massive Heterogeneous Multi-Chip Processors.
IEEE Wirel. Commun.
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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2023 — —
In-memory Vector Symbolic Architectures.
Geethan Karunaratne
2023 A* conf
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition.
NeurIPS
Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023 J jnl
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition.
CoRR
Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023 J jnl
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing.
CoRR
Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi
2023 J jnl
WHYPE: A Scale-Out Architecture With Wireless Over-the-Air Majority for Scalable In-Memory Hyperdimensional Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2023 J jnl
WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing.
CoRR
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2022 J jnl
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference.
CoRR
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
2022 J jnl
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks.
CoRR
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022 J jnl
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.
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022 A* conf
Constrained Few-shot Class-incremental Learning.
CVPR
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2022 J jnl
Constrained Few-shot Class-incremental Learning.
CoRR
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2022 J jnl
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks.
CoRR
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
2022 J jnl
HERMES-Core - A 1.59-TOPS/mm
IEEE J. Solid State Circuits
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
2022 — conf
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
ESSCIRC
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
2022 J jnl
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory.
CoRR
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
2022 J jnl
In-memory factorization of holographic perceptual representations.
CoRR
Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi
2022 — conf
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference.
AICAS
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022 J jnl
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference.
CoRR
Nazareno Bruschi, Giuseppe Tagliavini, Francesco Conti, Sergi Abadal, Albert Cabellos-Aparicio, Eduard Alarcón, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
2022 B conf
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing.
IJCNN
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2022 J jnl
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing.
CoRR
Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal
2021 — conf
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH).
CF
Joshua Alexander Harrison 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 Christian Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal
2021 C conf
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator.
ISCAS
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
2021 — conf
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?
AICAS
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2021 J jnl
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?
CoRR
Gianmarco Ottavi, Geethan Karunaratne, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
2021 J jnl
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing.
IEEE Trans. Circuits Syst. II Express Briefs
Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2021 J jnl
Energy Efficient In-memory Hyperdimensional Encoding for Spatio-temporal Signal Processing.
CoRR
Geethan Karunaratne, Manuel Le Gallo, Michael Hersche, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2021 — conf
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
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
2021 — conf
Real-time Language Recognition using Hyperdimensional Computing on Phase-change Memory Array.
AICAS
Geethan Karunaratne, Abbas Rahimi, Manuel Le Gallo, Giovanni Cherubini, Abu Sebastian
2020 J jnl
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator.
CoRR
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
2020 C conf
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.
ISCAS
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020 J jnl
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning.
CoRR
Vinay Joshi, Geethan Karunaratne, Manuel Le Gallo, Irem Boybat, Christophe Piveteau, Abu Sebastian, Bipin Rajendran, Evangelos Eleftheriou
2020 J jnl
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors.
CoRR
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 Christian Lemme, Joshua Alexander Harrison Klein, Marina Zapater, Alexandre Levisse, David Atienza, Davide Rossi, Francesco Conti, Martino Dazzi, Geethan Karunaratne, Irem Boybat, Abu Sebastian
2020 J jnl
Mixed-precision deep learning based on computational memory.
CoRR
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
2020 J jnl
Robust High-dimensional Memory-augmented Neural Networks.
CoRR
Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi
2019 A conf
Applications of Computation-In-Memory Architectures based on Memristive Devices.
DATE
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
2019 — conf
Computational memory-based inference and training of deep neural networks.
VLSI Circuits
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
2019 J jnl
Deep learning acceleration based on in-memory computing.
IBM J. Res. Dev.
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
2019 J jnl
In-memory hyperdimensional computing.
CoRR
Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian
2018 J jnl
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks.
CoRR
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
2018 — conf
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks.
COOL CHIPS
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
2017 — conf
High performance hardware architectures for Intra Block Copy and Palette Coding for HEVC screen content coding extension.
ASAP
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
2016 J jnl
4K Real-Time HEVC Decoder on an FPGA.
IEEE Trans. Circuits Syst. Video Technol.
Maleen Abeydeera, Manupa Karunaratne, Geethan Karunaratne, Kalana De Silva, Ajith Pasqual