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2020 – today
- 2024
[c18]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-Shot Classification Using Hyperdimensional Computing. DATE 2024: 1-2- [c17]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI 2024: 2974-2982 - [i24]Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Zero-shot Classification using Hyperdimensional Computing. CoRR abs/2401.16876 (2024) - [i23]Jonathan Thomm, Aleksandar Terzic, Geethan Karunaratne, Giacomo Camposampiero, Bernhard Schölkopf, Abbas Rahimi
:
Limits of Transformer Language Models on Learning Algorithmic Compositions. CoRR abs/2402.05785 (2024) - [i22]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR abs/2410.00004 (2024) - 2023
- [b1]Geethan Karunaratne:
In-memory Vector Symbolic Architectures. ETH Zurich, Zürich, Switzerland, 2023 - [j8]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): 137-149 (2023) - [j7]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): 10993-10998 (2023) - [j6]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 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): 162-169 (2023) - [c16]Michael Hersche, Zuzanna Opala, Geethan Karunaratne, Abu Sebastian, Abbas Rahimi:
Decoding Superpositions of Bound Symbols Represented by Distributed Representations. NeSy 2023: 279-288 - [c15]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 - [p1]Geethan Karunaratne, Michael Hersche, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi:
Few-Shot Continual Learning Based on Vector Symbolic Architectures. Compendium of Neurosymbolic Artificial Intelligence 2023: 522-546 - [d1]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
Raw data related to In-memory factorization of holographic perceptual representations. Zenodo, 2023
- [i21]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 abs/2303.08067 (2023) - [i20]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 abs/2303.13957 (2023) - [i19]Nicolas Menet, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition. CoRR abs/2312.02829 (2023) - [i18]Aleksandar Terzic, Michael Hersche, Geethan Karunaratne, Luca Benini, Abu Sebastian, Abbas Rahimi:
TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing. CoRR abs/2312.05605 (2023) - 2022
- [j5]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): 422-435 (2022) - [j4]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:
HERMES-Core - A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. IEEE J. Solid State Circuits 57(4): 1027-1038 (2022) - [c14]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: 170-173 - [c13]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CVPR 2022: 9047-9057 - [c12]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: 105-108 - [c11]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. IJCNN 2022: 1-8 - [i17]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 abs/2201.01089 (2022) - [i16]Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi:
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks. CoRR abs/2203.06223 (2022) - [i15]Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Constrained Few-shot Class-incremental Learning. CoRR abs/2203.16588 (2022) - [i14]Robert Guirado, Abbas Rahimi, Geethan Karunaratne, Eduard Alarcón, Abu Sebastian, Sergi Abadal:
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing. CoRR abs/2205.10889 (2022) - [i13]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 abs/2206.04796 (2022) - [i12]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 abs/2207.06810 (2022) - [i11]Jovin Langenegger, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory factorization of holographic perceptual representations. CoRR abs/2211.05052 (2022) - [i10]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 abs/2212.02872 (2022) - 2021
- [j3]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): 1725-1729 (2021) - [c10]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: 1 - [c9]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: 1-4 - [c8]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 Christian Lemme, Akshay Jain, Robert Guirado, Hamidreza Taghvaee, Sergi Abadal:
Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH). CF 2021: 191-193 - [c7]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS 2021: 1-5 - [c6]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:
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: 1-2 - [i9]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 abs/2106.11654 (2021) - [i8]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 abs/2109.01404 (2021) - 2020
- [c5]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: 1-5 - [i7]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 abs/2001.11773 (2020) - [i6]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 abs/2003.11256 (2020) - [i5]Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini:
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR abs/2005.07137 (2020) - [i4]Geethan Karunaratne, Manuel Schmuck, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Robust High-dimensional Memory-augmented Neural Networks. CoRR abs/2010.01939 (2020) - [i3]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 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 abs/2011.04107 (2020)
2010 – 2019
- 2019
- [j2]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): 7:1-7:16 (2019) - [c4]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: 486-491 - [c3]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: 168- - [i2]Geethan Karunaratne, Manuel Le Gallo, Giovanni Cherubini, Luca Benini, Abbas Rahimi, Abu Sebastian:
In-memory hyperdimensional computing. CoRR abs/1906.01548 (2019) - 2018
- [c2]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: 1-3 - [i1]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 abs/1803.05849 (2018) - 2017
- [c1]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: 164-169 - 2016
- [j1]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): 236-249 (2016)
Coauthor Index
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