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Journal Articles
- 2024
[j6]Paul Hueber
, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu:
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces. Neuromorph. Comput. Eng. 4(2): 24008 (2024)- 2020
- [j5]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108: 1173-1191 (2020) - 2017
- [j4]Massimo Monti, Manolis Sifalakis, Christian F. Tschudin, Marco Luise:
On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction. IEEE/ACM Trans. Netw. 25(4): 2054-2067 (2017) - 2011
- [j3]Manolis Sifalakis, Andreas Louca, Ghazi Bouabene, Michael Fry, Andreas Mauthe, David Hutchison:
Functional composition in future networks. Comput. Networks 55(4): 987-998 (2011) - 2010
- [j2]Manolis Sifalakis, Michael Fry, David Hutchison:
Event detection and correlation for network environments. IEEE J. Sel. Areas Commun. 28(1): 60-69 (2010) - 2006
- [j1]Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew C. Scott:
A highly flexible service composition framework for real-life networks. Comput. Networks 50(14): 2488-2505 (2006)
Conference and Workshop Papers
- 2024
- [c31]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:
Invited: Neuromorphic Vision Modalities in the NimbleAI 3D Chip. DAC 2024: 358:1-358:4 - [c30]Prithvish Nembhani, Kanishkan Vadivel, Guangzhi Tang, Mohammad Tahghighi, Gert-Jan van Schaik, Manolis Sifalakis, Zaid Al-Ars, Amirreza Yousefzadeh:
SENSIM: An Event-driven Parallel Simulator for Multi-core Neuromorphic Systems. IJCNN 2024: 1-6 - [c29]Alberto Patiño-Saucedo, Roy Meijer, Paul Detterer, Amirreza Yousefzadeh, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis:
Co-optimized training of models with synaptic delays for digital neuromorphic accelerators. ISCAS 2024: 1-5 - 2023
- [c28]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. ISCAS 2023: 1-5 - [c27]Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh:
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. ISCAS 2023: 1-5 - 2022
- [c26]Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi, Manolis Sifalakis, Mario Konijnenburg:
SENeCA: Scalable Energy-efficient Neuromorphic Computer Architecture. AICAS 2022: 371-374 - [c25]Amirreza Yousefzadeh, Manolis Sifalakis:
Delta Activation Layer exploits temporal sparsity for efficient embedded video processing. IJCNN 2022: 1-10 - 2017
- [c24]Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
Understanding and optimizing the performance of distributed machine learning applications on apache spark. IEEE BigData 2017: 331-338 - [c23]Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi:
Linear-complexity relaxed word Mover's distance with GPU acceleration. IEEE BigData 2017: 889-896 - [c22]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis:
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops 2017: 419-428 - 2016
- [c21]Christopher Scherb, Manolis Sifalakis, Christian F. Tschudin:
A packet rewriting core for Information Centric Networking. CCNC 2016: 67-72 - 2014
- [c20]Manolis Sifalakis, Basil Kohler, Christopher Scherb, Christian F. Tschudin:
An information centric network for computing the distribution of computations. ICN 2014: 137-146 - [c19]Marica Amadeo, Antonella Molinaro, Claudia Campolo, Manolis Sifalakis, Christian F. Tschudin:
Transport layer design for named data wireless networking. INFOCOM Workshops 2014: 464-469 - 2013
- [c18]Stefan Braun, Massimo Monti, Manolis Sifalakis, Christian F. Tschudin:
An Empirical Study of Receiver-Based AIMD Flow-Control Strategies for CCN. ICCCN 2013: 1-8 - [c17]Stefan Braun, Massimo Monti, Manolis Sifalakis, Christian F. Tschudin:
CCN & TCP co-existence in the future Internet: Should CCN be compatible to TCP? IM 2013: 1109-1115 - [c16]Massimo Monti, Manolis Sifalakis, Thomas Meyer, Christian F. Tschudin, Marco Luise:
A chemical-inspired approach to design distributed rate controllers for packet networks. IM 2013: 1358-1364 - [c15]Christian F. Tschudin, Manolis Sifalakis:
Named Functions for Media Delivery Orchestration. PV 2013: 1-8 - 2011
- [c14]Manolis Sifalakis, Christian F. Tschudin, Sylvain Martin, Lucio Studer Ferreira, Luís M. Correia:
A Generic Service Interface for Cloud Networks. CLOSER 2011: 110-119 - [c13]Ghazi Bouabene, Manolis Sifalakis, Christian F. Tschudin:
Greedy Routing on Hierarchical Clusters. EUC 2011: 79-86 - 2007
- [c12]Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison:
On the Long-Range Dependent Behaviour of Unidirectional Packet Delay of Wireless Traffic. GLOBECOM 2007: 2655-2660 - [c11]Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison:
Measurement and Analysis of Intraflow Performance Characteristics of Wireless Traffic. IPOM 2007: 143-155 - [c10]Manolis Sifalakis, Michael Fry, David Hutchison:
A Common Architecture for Cross Layer and Network Context Awareness. IWSOS 2007: 103-118 - [c9]Dimitrios P. Pezaros, Manolis Sifalakis, Laurent Mathy:
Fractal Analysis of Intraflow Unidirectional Delay over W-LAN and W-WAN Environments. WiOpt 2007: 1-4 - 2006
- [c8]Stefan Schmid, Manolis Sifalakis, David Hutchison:
Towards Autonomic Networks. Autonomic Networking 2006: 1-11 - [c7]Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison:
End-to-end microflow performance measurement of IPv6 traffic over diverse wireless topologies. WICON 2006: 3 - 2005
- [c6]Manolis Sifalakis, Stefan Schmid, David Hutchison:
Network address hopping: a mechanism to enhance data protection for packet communications. ICC 2005: 1518-1523 - [c5]Manolis Sifalakis, Andreas Mauthe, David Hutchison:
SAND: A Scalable, Distributed and Dynamic Active Networks Directory Service. IWAN 2005: 132-144 - 2004
- [c4]Manolis Sifalakis, Stefan Schmid, Tim Chart, Andrew C. Scott:
A Framework for Developing Mobile Network Services. IWAN 2004: 126-137 - [c3]Dimitrios P. Pezaros, Manolis Sifalakis, Stefan Schmid, David Hutchison:
Dynamic Link Measurements Using Active Components. IWAN 2004: 188-204 - 2003
- [c2]Tim Chart, Stefan Schmid, Manolis Sifalakis, Andrew Scott:
Active Routers in Action: Evaluation of the LARA++ Active Router Architecture in a Real-Life Network. IWAN 2003: 215-227 - 2002
- [c1]Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew Scott:
Flexible, Dynamic, and Scalable Service Composition for Active Routers. IWAN 2002: 253-266
Informal and Other Publications
- 2024
- [i14]Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh, Manil Dev Gomony, Federico Corradi, Paul Detterer, Laura Garrido-Regife, Bernabé Linares-Barranco, Manolis Sifalakis:
Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors. CoRR abs/2404.10597 (2024) - [i13]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:
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction. CoRR abs/2406.17285 (2024) - [i12]Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang:
TRIP: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision. CoRR abs/2406.17483 (2024) - [i11]Yingfu Xu, Guangzhi Tang, Amirreza Yousefzadeh, Guido de Croon, Manolis Sifalakis:
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification. CoRR abs/2407.20421 (2024) - [i10]Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari, Guangzhi Tang, Manolis Sifalakis:
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks. CoRR abs/2408.05098 (2024) - 2023
- [i9]Guangzhi Tang, Ali Safa, Kevin Shidqi, Paul Detterer, Stefano Traferro, Mario Konijnenburg, Manolis Sifalakis, Gert-Jan van Schaik, Amirreza Yousefzadeh:
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. CoRR abs/2303.15224 (2023) - [i8]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, 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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i7]Alberto Patiño-Saucedo, Amirreza Yousefzadeh, Guangzhi Tang, Federico Corradi, Bernabé Linares-Barranco, Manolis Sifalakis:
Empirical study on the efficiency of Spiking Neural Networks with axonal delays, and algorithm-hardware benchmarking. CoRR abs/2309.05345 (2023) - 2021
- [i6]Amirreza Yousefzadeh, Manolis Sifalakis:
Training for temporal sparsity in deep neural networks, application in video processing. CoRR abs/2107.07305 (2021) - 2017
- [i5]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis:
Large-Scale Stochastic Learning using GPUs. CoRR abs/1702.07005 (2017) - [i4]Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi:
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration. CoRR abs/1711.07227 (2017) - 2016
- [i3]Massimo Monti, Manolis Sifalakis, Christian F. Tschudin, Marco Luise:
Towards Programmable Network Dynamics: A Chemistry-Inspired Abstraction for Hardware Design. CoRR abs/1601.05356 (2016) - [i2]Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
High-Performance Distributed Machine Learning using Apache SPARK. CoRR abs/1612.01437 (2016) - 2005
- [i1]Manolis Sifalakis, David Hutchison:
From Active Networks to Cognitive Networks. Service Management and Self-Organization in IP-based Networks 2005
Coauthor Index
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