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Manolis Sifalakis
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2020 – today
- 2024
- [j6]Paul Hueber
, Guangzhi Tang
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces. Neuromorph. Comput. Eng. 4(2): 24008 (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
Co-optimized training of models with synaptic delays for digital neuromorphic accelerators. ISCAS 2024: 1-5 - [i14]Alberto Patiño-Saucedo, Roy Meijer, Amirreza Yousefzadeh
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
- [c28]Alberto Patiño-Saucedo
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
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design. ISCAS 2023: 1-5 - [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
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) - 2022
- [c26]Amirreza Yousefzadeh, Gert-Jan van Schaik, Mohammad Tahghighi, Paul Detterer, Stefano Traferro, Martijn Hijdra, Jan Stuijt, Federico Corradi
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 - 2021
- [i6]Amirreza Yousefzadeh, Manolis Sifalakis:
Training for temporal sparsity in deep neural networks, application in video processing. CoRR abs/2107.07305 (2021) - 2020
- [j5]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108: 1173-1191 (2020)
2010 – 2019
- 2017
- [j4]Massimo Monti
On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction. IEEE/ACM Trans. Netw. 25(4): 2054-2067 (2017) - [c24]Celestine Dünner, Thomas P. Parnell, Kubilay Atasu
Understanding and optimizing the performance of distributed machine learning applications on apache spark. IEEE BigData 2017: 331-338 - [c23]Kubilay Atasu
Linear-complexity relaxed word Mover's distance with GPU acceleration. IEEE BigData 2017: 889-896 - [c22]Thomas P. Parnell, Celestine Dünner, Kubilay Atasu
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops 2017: 419-428 - [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
- [c21]Christopher Scherb, Manolis Sifalakis
A packet rewriting core for Information Centric Networking. CCNC 2016: 67-72 - [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) - 2014
- [c20]Manolis Sifalakis
An information centric network for computing the distribution of computations. ICN 2014: 137-146 - [c19]Marica Amadeo, Antonella Molinaro, Claudia Campolo
Transport layer design for named data wireless networking. INFOCOM Workshops 2014: 464-469 - 2013
- [c18]Stefan Braun, Massimo Monti, Manolis Sifalakis
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
- [j3]Manolis Sifalakis
Functional composition in future networks. Comput. Networks 55(4): 987-998 (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
Greedy Routing on Hierarchical Clusters. EUC 2011: 79-86 - 2010
- [j2]Manolis Sifalakis
Event detection and correlation for network environments. IEEE J. Sel. Areas Commun. 28(1): 60-69 (2010)
2000 – 2009
- 2007
- [c12]Dimitrios P. Pezaros
On the Long-Range Dependent Behaviour of Unidirectional Packet Delay of Wireless Traffic. GLOBECOM 2007: 2655-2660 - [c11]Dimitrios P. Pezaros, Manolis Sifalakis
Measurement and Analysis of Intraflow Performance Characteristics of Wireless Traffic. IPOM 2007: 143-155 - [c10]Manolis Sifalakis
A Common Architecture for Cross Layer and Network Context Awareness. IWSOS 2007: 103-118 - [c9]Dimitrios P. Pezaros, Manolis Sifalakis
Fractal Analysis of Intraflow Unidirectional Delay over W-LAN and W-WAN Environments. WiOpt 2007: 1-4 - 2006
- [j1]Stefan Schmid, Tim Chart, Manolis Sifalakis
A highly flexible service composition framework for real-life networks. Comput. Networks 50(14): 2488-2505 (2006) - [c8]Stefan Schmid, Manolis Sifalakis
Towards Autonomic Networks. Autonomic Networking 2006: 1-11 - [c7]Dimitrios P. Pezaros
End-to-end microflow performance measurement of IPv6 traffic over diverse wireless topologies. WICON 2006: 3 - 2005
- [c6]Manolis Sifalakis
Network address hopping: a mechanism to enhance data protection for packet communications. ICC 2005: 1518-1523 - [c5]Manolis Sifalakis
SAND: A Scalable, Distributed and Dynamic Active Networks Directory Service. IWAN 2005: 132-144 - [i1]Manolis Sifalakis, David Hutchison:
From Active Networks to Cognitive Networks. Service Management and Self-Organization in IP-based Networks 2005 - 2004
- [c4]Manolis Sifalakis
A Framework for Developing Mobile Network Services. IWAN 2004: 126-137 - [c3]Dimitrios P. Pezaros, Manolis Sifalakis
Dynamic Link Measurements Using Active Components. IWAN 2004: 188-204 - 2003
- [c2]Tim Chart, Stefan Schmid, Manolis Sifalakis
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
Flexible, Dynamic, and Scalable Service Composition for Active Routers. IWAN 2002: 253-266
Coauthor Index
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last updated on 2024-11-11 21:29 CET by the dblp team
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