Manolis Sifalakis

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 24

Top Topics

Video Processing

Computer Architecture

Network Dynamics

Linear Computational Complexity

Top Venues

Future Gener. Comput. Syst.

Publications

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)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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)
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 (2023)
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 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 (2023)
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)
Amirreza Yousefzadeh, Manolis Sifalakis
Delta Activation Layer exploits temporal sparsity for efficient embedded video processing. IJCNN (2022)
Amirreza Yousefzadeh, Manolis Sifalakis
Training for temporal sparsity in deep neural networks, application in video processing. CoRR (2021)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108 (2020)
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 (2017)
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)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning using GPUs. CoRR (2017)
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) (2017)
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)
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
High-Performance Distributed Machine Learning using Apache SPARK. CoRR (2016)
Massimo Monti, Manolis Sifalakis, Christian F. Tschudin, Marco Luise
Towards Programmable Network Dynamics: A Chemistry-Inspired Abstraction for Hardware Design. CoRR (2016)
Christopher Scherb, Manolis Sifalakis, Christian F. Tschudin
A packet rewriting core for Information Centric Networking. CCNC (2016)
Manolis Sifalakis, Basil Kohler, Christopher Scherb, Christian F. Tschudin
An information centric network for computing the distribution of computations. ICN (2014)
Marica Amadeo, Antonella Molinaro, Claudia Campolo, Manolis Sifalakis, Christian F. Tschudin
Transport layer design for named data wireless networking. INFOCOM Workshops (2014)
Stefan Braun, Massimo Monti, Manolis Sifalakis, Christian F. Tschudin
An Empirical Study of Receiver-Based AIMD Flow-Control Strategies for CCN. ICCCN (2013)
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)
Christian F. Tschudin, Manolis Sifalakis
Named Functions for Media Delivery Orchestration. PV (2013)
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)
Manolis Sifalakis, Christian F. Tschudin, Sylvain Martin, Lucio Studer Ferreira, Luís M. Correia
A Generic Service Interface for Cloud Networks. CLOSER (2011)
Ghazi Bouabene, Manolis Sifalakis, Christian F. Tschudin
Greedy Routing on Hierarchical Clusters. EUC (2011)
Manolis Sifalakis, Andreas Louca, Ghazi Bouabene, Michael Fry, Andreas Mauthe, David Hutchison
Functional composition in future networks. Comput. Networks 55 (4) (2011)
Manolis Sifalakis, Michael Fry, David Hutchison
Event detection and correlation for network environments. IEEE J. Sel. Areas Commun. 28 (1) (2010)
Manolis Sifalakis, Michael Fry, David Hutchison
A Common Architecture for Cross Layer and Network Context Awareness. IWSOS (2007)
Dimitrios P. Pezaros, Manolis Sifalakis, L. Mathy
Fractal Analysis of Intraflow Unidirectional Delay over W-LAN and W-WAN Environments. WiOpt (2007)
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
On the Long-Range Dependent Behaviour of Unidirectional Packet Delay of Wireless Traffic. GLOBECOM (2007)
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
Measurement and Analysis of Intraflow Performance Characteristics of Wireless Traffic. IPOM (2007)
Stefan Schmid, Manolis Sifalakis, David Hutchison
Towards Autonomic Networks. Autonomic Networking (2006)
Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew C. Scott
A highly flexible service composition framework for real-life networks. Comput. Networks 50 (14) (2006)
Dimitrios P. Pezaros, Manolis Sifalakis, David Hutchison
End-to-end microflow performance measurement of IPv6 traffic over diverse wireless topologies. WICON (2006)
Manolis Sifalakis, Stefan Schmid, David Hutchison
Network address hopping: a mechanism to enhance data protection for packet communications. ICC (2005)
Manolis Sifalakis, David Hutchison
From Active Networks to Cognitive Networks. Service Management and Self-Organization in IP-based Networks (2005)
Manolis Sifalakis, Andreas Mauthe, David Hutchison
SAND: A Scalable, Distributed and Dynamic Active Networks Directory Service. IWAN (2005)
Dimitrios P. Pezaros, Manolis Sifalakis, Stefan Schmid, David Hutchison
Dynamic Link Measurements Using Active Components. IWAN (2004)
Manolis Sifalakis, Stefan Schmid, Tim Chart, Andrew C. Scott
A Framework for Developing Mobile Network Services. IWAN (2004)
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)
Stefan Schmid, Tim Chart, Manolis Sifalakis, Andrew Scott
Flexible, Dynamic, and Scalable Service Composition for Active Routers. IWAN (2002)