Manolis Sifalakis

61 papers A* 1A 1B 8C 5Journal 25Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators.
CoRR
Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Alberto Patiño-Saucedo, Guangzhi Tang, Kanishkan Vadivel, Yinfu Xu, Manil Dev Gomony, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2025 J jnl
Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification.
Neural Networks
Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido C. H. E. de Croon, Manolis Sifalakis
2025 — conf
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing.
AICAS
Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2025 J jnl
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing.
CoRR
Ivan Knunyants, Maryam Tavakol, Manolis Sifalakis, Yingfu Xu, Amirreza Yousefzadeh, Guangzhi Tang
2025 J jnl
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks.
Trans. Mach. Learn. Res.
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis
2025 A conf
Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E).
DATE
Rajendra Bishnoi, Mohammad Amin Yaldagard, Said Hamdioui, Kanishkan Vadivel, Manolis Sifalakis, Nicolas Daniel Rodriguez, Pedro Julián, Lothar Ratschbacher, Maen Mallah, Yogesh Ramesh Patil, Rashid Ali, Fabian Chersi
2025 J jnl
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems.
CoRR
Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh
2025 B conf
SENMap: Multi-objective dataflow mapping & synthesis for hybrid scalable neuromorphic systems.
IJCNN
Prithvish Nembhani, Oliver Rhodes, Guangzhi Tang, Alexandra F. Dobrita, Yingfu Xu, Kanishkan Vadivel, Kevin Shidqi, Paul Detterer, Mario Konijnenburg, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh
2024 J jnl
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces.
Neuromorph. Comput. Eng.
Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu
2024 C conf
Co-optimized training of models with synaptic delays for digital neuromorphic accelerators.
ISCAS
Alberto Patiño-Saucedo, Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis
2024 J jnl
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction.
CoRR
Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis
2024 J jnl
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction.
IEEE Trans. Circuits Syst. Artif. Intell.
Alexandra F. Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis
2024 J jnl
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification.
CoRR
Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido de Croon, Manolis Sifalakis
2024 J jnl
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors.
CoRR
Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh, Manil Dev Gomony, Federico Corradi, Paul Detterer, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis
2024 A* conf
Invited: Neuromorphic Vision Modalities in the NimbleAI 3D Chip.
DAC
Xabier Iturbe, Bernabé Linares-Barranco, Sio-Hoi Ieng, Arne Erdmann, Luca Peres, Oliver Rhodes, Rafael Tornero, Manolis Sifalakis, Marcel D. van de Burgwal, Amirreza Yousefzadeh, Maha Kooli, Riccardo Alidori, Pavel Zaykov
2024 J jnl
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks.
CoRR
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis
2024 B conf
SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems.
IJCNN
Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh
2024 — conf
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-Based Vision.
ICONS
Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
2024 J jnl
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision.
CoRR
Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang
2023 C conf
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking.
ISCAS
Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2023 J jnl
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking.
CoRR
Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis
2023 J jnl
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
2023 C conf
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design.
ISCAS
Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
2023 J jnl
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design.
CoRR
Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh
2022 B conf
Delta Activation Layer exploits temporal sparsity for efficient embedded video processing.
IJCNN
Amirreza Yousefzadeh, Manolis Sifalakis
2022 — conf
SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture.
AICAS
Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi, Manolis Sifalakis, Mario Konijnenburg
2021 J jnl
Training for temporal sparsity in deep neural networks, application in video processing.
CoRR
Amirreza Yousefzadeh, Manolis Sifalakis
2020 J jnl
Tera-scale coordinate descent on GPUs.
Future Gener. Comput. Syst.
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
2017 — conf
Large-Scale Stochastic Learning Using GPUs.
IPDPS Workshops
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
2017 J jnl
Large-Scale Stochastic Learning using GPUs.
CoRR
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
2017 J jnl
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration.
CoRR
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
2017 — conf
Linear-complexity relaxed word Mover's distance with GPU acceleration.
IEEE BigData
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
2017 J jnl
On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction.
IEEE/ACM Trans. Netw.
Massimo Monti, Manolis Sifalakis, Christian F. Tschudin, Marco Luise
2017 — conf
Understanding and optimizing the performance of distributed machine learning applications on apache spark.
IEEE BigData
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
2016 — conf
A packet rewriting core for Information Centric Networking.
CCNC
Christopher Scherb, Manolis Sifalakis, Christian F. Tschudin
2016 J jnl
High-Performance Distributed Machine Learning using Apache SPARK.
CoRR
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
2016 J jnl
Towards Programmable Network Dynamics: A Chemistry-Inspired Abstraction for Hardware Design.
CoRR
Massimo Monti, Manolis Sifalakis, Christian F. Tschudin, Marco Luise
2014 — conf
An information centric network for computing the distribution of computations.
ICN
Manolis Sifalakis, Basil Kohler, Christopher Scherb, Christian F. Tschudin
2014 — conf
Transport layer design for named data wireless networking.
INFOCOM Workshops
Marica Amadeo, Antonella Molinaro, Claudia Campolo, Manolis Sifalakis, Christian F. Tschudin
2013 B conf
A chemical-inspired approach to design distributed rate controllers for packet networks.
IM
Massimo Monti, Manolis Sifalakis, Thomas Meyer, Christian F. Tschudin, Marco Luise
2013 B conf
An Empirical Study of Receiver-Based AIMD Flow-Control Strategies for CCN.
ICCCN
Stefan Braun, Massimo Monti, Manolis Sifalakis, Christian F. Tschudin
2013 B conf
CCN & TCP co-existence in the future Internet: Should CCN be compatible to TCP?
IM
Stefan Braun, Massimo Monti, Manolis Sifalakis, Christian F. Tschudin
2013 — conf
Named Functions for Media Delivery Orchestration.
PV
Christian F. Tschudin, Manolis Sifalakis
2011 C conf
A Generic Service Interface for Cloud Networks.
CLOSER
Manolis Sifalakis, Christian F. Tschudin, Sylvain Martin, Lucio Studer Ferreira, Luís M. Correia
2011 J jnl
Functional composition in future networks.
Comput. Networks
Manolis Sifalakis, Andreas Louca, Ghazi Bouabene, Michael Fry, Andreas Mauthe, David Hutchison
2011 C conf
Greedy Routing on Hierarchical Clusters.
EUC
Ghazi Bouabene, Manolis Sifalakis, Christian F. Tschudin
2010 J jnl
Event detection and correlation for network environments.
IEEE J. Sel. Areas Commun.
Manolis Sifalakis, Michael Fry, David Hutchison
2007 — conf
A Common Architecture for Cross Layer and Network Context Awareness.
IWSOS
Manolis Sifalakis, Michael Fry, David Hutchison
2007 B conf
Fractal Analysis of Intraflow Unidirectional Delay over W-LAN and W-WAN Environments.
WiOpt
Dimitrios P. Pezaros, Manolis Sifalakis, Laurent Mathy
2007 — conf
Measurement and Analysis of Intraflow Performance Characteristics of Wireless Traffic.
IPOM
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
2007 B conf
On the Long-Range Dependent Behaviour of Unidirectional Packet Delay of Wireless Traffic.
GLOBECOM
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
2006 J jnl
A highly flexible service composition framework for real-life networks.
Comput. Networks
Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew C. Scott
2006 — conf
End-to-end microflow performance measurement of IPv6 traffic over diverse wireless topologies.
WICON
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
2006 — conf
Towards Autonomic Networks.
Autonomic Networking
Stefan Schmid, Manolis Sifalakis, David Hutchison
2005 — conf
From Active Networks to Cognitive Networks.
Service Management and Self-Organization in IP-based Networks
Manolis Sifalakis, David Hutchison
2005 — conf
Network address hopping: a mechanism to enhance data protection for packet communications.
ICC
Manolis Sifalakis, Stefan Schmid, David Hutchison
2005 — conf
SAND: A Scalable, Distributed and Dynamic Active Networks Directory Service.
IWAN
Manolis Sifalakis, Andreas Mauthe, David Hutchison
2004 — conf
A Framework for Developing Mobile Network Services.
IWAN
Manolis Sifalakis, Stefan Schmid, Tim Chart, Andrew C. Scott
2004 — conf
Dynamic Link Measurements Using Active Components.
IWAN
Dimitrios P. Pezaros, Manolis Sifalakis, Stefan Schmid, David Hutchison
2003 — conf
Active Routers in Action: Evaluation of the LARA++ Active Router Architecture in a Real-Life Network.
IWAN
Tim Chart, Stefan Schmid, Manolis Sifalakis, Andrew Scott
2002 — conf
Flexible, Dynamic, and Scalable Service Composition for Active Routers.
IWAN
Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew Scott