Christos-Savvas Bouganis

196 papers A* 5A 17B 32C 2Misc 11Journal 74Unranked 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A flexible language model-assisted electronic design automation framework. CoRR Cristian Sestito, Panagiota Kontou, Pratibha Verma, Atish Dixit, Alexandros D. Keros, Michael O'Boyle, Christos-Savvas Bouganis, Themis Prodromakis
2025	A	`conf`	A Resource-Aware Residual-Based Gaussian Belief Propagation Accelerator Toolflow. DATE Omar Sharif, Christos-Savvas Bouganis
2025	A*	`conf`	Cached Multi-Lora Composition for Multi-Concept Image Generation. ICLR Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025	J	`jnl`	Cached Multi-Lora Composition for Multi-Concept Image Generation. CoRR Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao
2025	J	`jnl`	Efficient Number of Functional Units and Loop Pipeline Design Space Exploration for High-Level Synthesis. J. Braz. Comput. Soc. Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato
2025	J	`jnl`	GatedFWA: Linear Flash Windowed Attention with Gated Associative Memory. CoRR Jiaxu Liu, Yuhe Bai, Christos-Savvas Bouganis
2025	—	`conf`	Harmonia: A Swift and Accurate Approximate Data Structure for Real-Time Heavy Flow Detection in High-Speed Networks. ADMA (3) Weihe Li, Tianyue Chu, Christos-Savvas Bouganis, Paul Patras
2025	Misc	`conf`	ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition. FCCM Yinting Huang, Keran Zheng, Zhewen Yu, Christos-Savvas Bouganis
2025	J	`jnl`	ITERA-LLM: Boosting Sub-8-Bit Large Language Model Inference via Iterative Tensor Decomposition. CoRR Keran Zheng, Yinting Huang, Zhewen Yu, Christos-Savvas Bouganis
2025	A*	`conf`	Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. ICLR Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2024	A	`conf`	A Framework for Designing Scalable Gaussian Belief Propagation Accelerators for use in SLAM. DATE Omar Sharif, Christos-Savvas Bouganis
2024	J	`jnl`	Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data. Int. J. Comput. Vis. Guoxuan Xia, Christos-Savvas Bouganis
2024	A	`conf`	Auto WS: Automate Weights Streaming in Layer-Wise Pipelined DNN Accelerators. DATE Zhewen Yu, Christos-Savvas Bouganis
2024	A	`conf`	Budget-aware Dynamic Spatially Adaptive Inference. BMVC Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2024	B	`conf`	HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. FPL Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
2024	J	`jnl`	HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. CoRR Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao
2024	—	`conf`	Latency Driven Spatially Sparse Optimization for Multi-Branch CNNs for Semantic Segmentation. WACV (Workshops) Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2024	Misc	`conf`	SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. FCCM Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras
2024	J	`jnl`	SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction. CoRR Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis, Dimitrios Tzovaras
2024	J	`jnl`	Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It. CoRR Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis
2024	J	`jnl`	Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. CoRR Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen
2023	Misc	`conf`	ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. FCCM Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides
2023	J	`jnl`	ATHEENA: A Toolflow for Hardware Early-Exit Network Automation. CoRR Benjamin Biggs, Christos-Savvas Bouganis, George A. Constantinides
2023	J	`jnl`	AutoWS: Automate Weights Streaming in Layer-wise Pipelined DNN Accelerators. CoRR Zhewen Yu, Christos-Savvas Bouganis
2023	—	`conf`	FMM-X3D: FPGA-Based Modeling and Mapping of X3D for Human Action Recognition. ASAP Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2023	J	`jnl`	FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition. CoRR Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2023	J	`jnl`	Fast Prototyping Next-Generation Accelerators for New ML Models using MASE: ML Accelerator System Exploration. CoRR Jianyi Cheng, Cheng Zhang, Zhewen Yu, Alexander Montgomerie-Corcoran, Can Xiao, Christos-Savvas Bouganis, Yiren Zhao
2023	Misc	`conf`	HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. FCCM Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
2023	J	`jnl`	HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. CoRR Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras
2023	B	`conf`	Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. FPL Zhewen Yu, Christos-Savvas Bouganis
2023	J	`jnl`	Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition. CoRR Zhewen Yu, Christos-Savvas Bouganis
2023	J	`jnl`	Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
2023	B	`conf`	PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. FPL Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis
2023	J	`jnl`	PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. CoRR Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis
2023	—	`conf`	SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. ICFPT Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis
2023	J	`jnl`	SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices. CoRR Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis
2023	A	`conf`	SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. WACV Zhewen Yu, Christos-Savvas Bouganis
2023	A*	`conf`	Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. ICCV Guoxuan Xia, Christos-Savvas Bouganis
2023	J	`jnl`	Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. CoRR Guoxuan Xia, Christos-Savvas Bouganis
2023	B	`conf`	fpgaHART: A Toolflow for Throughput-Oriented Acceleration of 3D CNNs for HAR onto FPGAs. FPL Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2023	J	`jnl`	fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs. CoRR Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2022	—	`conf`	Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. ACCV (6) Guoxuan Xia, Christos-Savvas Bouganis
2022	J	`jnl`	Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data. CoRR Guoxuan Xia, Christos-Savvas Bouganis
2022	J	`jnl`	Improved Spike-Based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning. IEEE Access Nur Ahmadi, Trio Adiono, Ayu Purwarianti, Timothy G. Constandinou, Christos-Savvas Bouganis
2022	J	`jnl`	Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices. CoRR Aditya Rajagopal, Christos-Savvas Bouganis
2022	—	`conf`	MIDAS: Mutual Information Driven Approximate Synthesis. ISVLSI Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides
2022	J	`jnl`	Multi-DNN Accelerators for Next-Generation AI Systems. CoRR Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
2022	J	`jnl`	On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection. CoRR Guoxuan Xia, Christos-Savvas Bouganis
2022	—	`conf`	Pushing the Efficiency of StereoNet: Exploiting Spatial Sparsity. VISIGRAPP (5: VISAPP) Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras
2022	B	`conf`	SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. FPL Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis
2022	J	`jnl`	SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. CoRR Zhewen Yu, Christos-Savvas Bouganis
2021	J	`jnl`	Class-specific early exit design methodology for convolutional neural networks. Appl. Soft Comput. Vanderlei Bonato, Christos-Savvas Bouganis
2021	—	`conf`	DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. ASP-DAC Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis
2021	—	`conf`	Learning Boolean Circuits from Examples for Approximate Logic Synthesis. ASP-DAC Sina Boroumand, Christos-Savvas Bouganis, George A. Constantinides
2021	J	`jnl`	Non-iterative SDC modulo scheduling for high-level synthesis. Microprocess. Microsystems Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato
2021	C	`conf`	POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. DSD Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis
2021	J	`jnl`	Performance landscape of resource-constrained platforms targeting DNNs. CoRR Panagiotis Miliadis, Christos-Savvas Bouganis, Dionisios N. Pnevmatikatos
2021	J	`jnl`	SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. CoRR Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis
2021	—	`conf`	StreamSVD: Low-rank Approximation and Streaming Accelerator Co-design. FPT Zhewen Yu, Christos-Savvas Bouganis
2021	—	`conf`	perf4sight: A toolflow to model CNN training performance on Edge GPUs. ICCVW Aditya Rajagopal, Christos-Savvas Bouganis
2021	J	`jnl`	perf4sight: A toolflow to model CNN training performance on Edge GPUs. CoRR Aditya Rajagopal, Christos-Savvas Bouganis
2020	—	`conf`	A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny. ARC Zhewen Yu, Christos-Savvas Bouganis
2020	A	`conf`	A Throughput-Latency Co-Optimised Cascade of Convolutional Neural Network Classifiers. DATE Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
2020	J	`jnl`	Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. IEEE Consumer Electron. Mag. Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
2020	B	`conf`	Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. FPL Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
2020	J	`jnl`	Caffe Barista: Brewing Caffe with FPGAs in the Training Loop. CoRR Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris, Christos-Savvas Bouganis
2020	—	`conf`	Mapping Multiple LSTM models on FPGAs. FPT Stefano Ribes, Pedro Trancoso, Ioannis Sourdis, Christos-Savvas Bouganis
2020	A*	`conf`	Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs. ICML Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
2020	J	`jnl`	Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs. CoRR Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris, Christos-Savvas Bouganis
2020	—	`conf`	Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CVPR Workshops Aditya Rajagopal, Christos-Savvas Bouganis
2020	J	`jnl`	Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge. CoRR Aditya Rajagopal, Christos-Savvas Bouganis
2020	J	`jnl`	Real-Time Servo Press Force Estimation Based on Dual Particle Filter. IEEE Trans. Ind. Electron. Jon Olaizola, Christos-Savvas Bouganis, Eneko Sáenz de Argandoña, Aitzol Iturrospe, José Manuel Abete
2019	B	`ed.`	29th International Conference on Field Programmable Logic and Applications, FPL 2019, Barcelona, Spain, September 8-12, 2019 FPL Ioannis Sourdis, Christos-Savvas Bouganis, Carlos Álvarez, Leonel Antonio Toledo Díaz, Pedro Valero-Lara, Xavier Martorell
2019	—	`conf`	A Scalable FPGA-Based Architecture for Depth Estimation in SLAM. ARC Konstantinos Boikos, Christos-Savvas Bouganis
2019	J	`jnl`	A Scalable FPGA-based Architecture for Depth Estimation in SLAM. CoRR Konstantinos Boikos, Christos-Savvas Bouganis
2019	—	`conf`	Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization. FPT Ameer M. S. Abdelhadi, Christos-Savvas Bouganis, George A. Constantinides
2019	J	`jnl`	Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars. CoRR Alexandros Kouris, Stylianos I. Venieris, Michail Rizakis, Christos-Savvas Bouganis
2019	—	`conf`	Decoding Hand Kinematics from Local Field Potentials Using Long Short-Term Memory (LSTM) Network. NER Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
2019	—	`conf`	End-to-End Hand Kinematic Decoding from LFPs Using Temporal Convolutional Network. BioCAS Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
2019	A	`conf`	Informed Region Selection for Efficient UAV-based Object Detectors: Altitude-aware Vehicle Detection with CyCAR Dataset. IROS Alexandros Kouris, Christos Kyrkou, Christos-Savvas Bouganis
2019	J	`jnl`	Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks. Comput. Vis. Image Underst. Manolis Vasileiadis, Christos-Savvas Bouganis, Dimitrios Tzovaras
2019	A	`conf`	Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices. BMVC Manolis Vasileiadis, Christos-Savvas Bouganis, Georgios Stavropoulos, Dimitrios Tzovaras
2019	—	`conf`	Power-Aware FPGA Mapping of Convolutional Neural Networks. FPT Alexander Montgomerie-Corcoran, Stylianos I. Venieris, Christos-Savvas Bouganis
2019	J	`jnl`	Scaling Up Modulo Scheduling for High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Leandro de Souza Rosa, Christos-Savvas Bouganis, Vanderlei Bonato
2019	—	`conf`	Towards Efficient On-Board Deployment of DNNs on Intelligent Autonomous Systems. ISVLSI Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
2019	—	`conf`	Towards a Distributed, Chronically-Implantable Neural Interface. NER Nur Ahmadi, Matthew L. Cavuto, Peilong Feng, Lieuwe B. Leene, Michal Maslik, Federico Mazza, Oscar Savolainen, Katarzyna M. Szostak, Christos-Savvas Bouganis, Jinendra Ekanayake, Andrew Jackson, Timothy G. Constandinou
2019	J	`jnl`	Understanding of Human Behavior with a Robotic Agent Through Daily Activity Analysis. Int. J. Soc. Robotics Ioannis Kostavelis, Manolis Vasileiadis, Evangelos Skartados, Andreas Kargakos, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras
2019	J	`jnl`	fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. Stylianos I. Venieris, Christos-Savvas Bouganis
2018	A	`conf`	An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman
2018	—	`conf`	Approximate FPGA-Based LSTMs Under Computation Time Constraints. ARC Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
2018	J	`jnl`	Approximate FPGA-based LSTMs under Computation Time Constraints. CoRR Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
2018	J	`jnl`	Boosting the Hardware-Efficiency of Cascade Support Vector Machines for Embedded Classification Applications. Int. J. Parallel Program. Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis, Marios M. Polycarpou
2018	J	`jnl`	CascadeCNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. CoRR Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
2018	J	`jnl`	CascadeCNN: Pushing the performance limits of quantisation. CoRR Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
2018	B	`conf`	Cascade^CNN: Pushing the Performance Limits of Quantisation in Convolutional Neural Networks. FPL Alexandros Kouris, Stylianos I. Venieris, Christos-Savvas Bouganis
2018	J	`jnl`	Deploying Deep Neural Networks in the Embedded Space. CoRR Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
2018	A	`conf`	DroNet: Efficient convolutional neural network detector for real-time UAV applications. DATE Christos Kyrkou, George Plastiras, Theocharis Theocharides, Stylianos I. Venieris, Christos-Savvas Bouganis
2018	J	`jnl`	DroNet: Efficient convolutional neural network detector for real-time UAV applications. CoRR Christos Kyrkou, George Plastiras, Stylianos I. Venieris, Theocharis Theocharides, Christos-Savvas Bouganis
2018	A	`conf`	Learning to Fly by MySelf: A Self-Supervised CNN-Based Approach for Autonomous Navigation. IROS Alexandros Kouris, Christos-Savvas Bouganis
2018	—	`conf`	Scaling Up Loop Pipelining for High-Level Synthesis: A Non-iterative Approach. FPT Leandro de Souza Rosa, Vanderlei Bonato, Christos-Savvas Bouganis
2018	—	`conf`	Spike Rate Estimation Using Bayesian Adaptive Kernel Smoother (BAKS) and Its Application to Brain Machine Interfaces. EMBC Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
2018	J	`jnl`	Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. CoRR Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
2018	J	`jnl`	Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions. ACM Comput. Surv. Stylianos I. Venieris, Alexandros Kouris, Christos-Savvas Bouganis
2018	J	`jnl`	f-CNN CoRR Stylianos I. Venieris, Christos-Savvas Bouganis
2018	B	`conf`	f-CNNx: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. FPL Stylianos I. Venieris, Christos-Savvas Bouganis
2017	B	`conf`	A high-performance system-on-chip architecture for direct tracking for SLAM. FPL Konstantinos Boikos, Christos-Savvas Bouganis
2017	J	`jnl`	An Unbiased MCMC FPGA-Based Accelerator in the Land of Custom Precision Arithmetic. IEEE Trans. Computers Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis
2017	Misc	`conf`	Communication-Aware MCMC Method for Big Data Applications on FPGAs. FCCM Shuanglong Liu, Christos-Savvas Bouganis
2017	B	`conf`	Latency-driven design for FPGA-based convolutional neural networks. FPL Stylianos I. Venieris, Christos-Savvas Bouganis
2017	J	`jnl`	Particle MCMC algorithms and architectures for accelerating inference in state-space models. Int. J. Approx. Reason. Grigorios Mingas, Leonardo Bottolo, Christos-Savvas Bouganis
2017	—	`conf`	Robust Human Pose Tracking For Realistic Service Robot Applications. ICCV Workshops Manolis Vasileiadis, Sotiris Malassiotis, Dimitrios Giakoumis, Christos-Savvas Bouganis, Dimitrios Tzovaras
2017	J	`jnl`	Special issue on applied reconfigurable computing. Microprocess. Microsystems Christos-Savvas Bouganis, Marek Gorgon, Vanderlei Bonato
2017	J	`jnl`	fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs. CoRR Stylianos I. Venieris, Christos-Savvas Bouganis
2017	A	`conf`	fpgaConvNet: Automated Mapping of Convolutional Neural Networks on FPGAs (Abstract Only). FPGA Stylianos I. Venieris, Christos-Savvas Bouganis
2016	—	`conf`	A hybrid ASIC/FPGA fault-tolerant artificial pancreas. SAMOS Michail S. Vavouras, Rui Policarpo Duarte, Antonino Armato, Christos-Savvas Bouganis
2016	—	`conf`	Area-driven partial reconfiguration for SEU mitigation on SRAM-based FPGAs. ReConFig Michail S. Vavouras, Christos-Savvas Bouganis
2016	J	`jnl`	Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides, Marios M. Polycarpou
2016	—	`conf`	FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine. BigMine Mudhar Bin Rabieah, Christos-Savvas Bouganis
2016	J	`jnl`	Population-Based MCMC on Multi-Core CPUs, GPUs and FPGAs. IEEE Trans. Computers Grigorios Mingas, Christos-Savvas Bouganis
2016	B	`conf`	Semi-dense SLAM on an FPGA SoC. FPL Konstantinos Boikos, Christos-Savvas Bouganis
2016	—	`conf`	Variation-Aware Optimisation for Reconfigurable Cyber-Physical Systems. DoCEIS Rui Policarpo Duarte, Christos-Savvas Bouganis
2016	Misc	`conf`	fpgaConvNet: A Framework for Mapping Convolutional Neural Networks on FPGAs. FCCM Stylianos I. Venieris, Christos-Savvas Bouganis
2015	J	`jnl`	ARC 2014 Over-Clocking KLT Designs on FPGAs under Process, Voltage, and Temperature Variation. ACM Trans. Reconfigurable Technol. Syst. Rui Policarpo Duarte, Christos-Savvas Bouganis
2015	J	`jnl`	ARC 2014: A Multidimensional FPGA-Based Parallel DBSCAN Architecture. ACM Trans. Reconfigurable Technol. Syst. Neil Scicluna, Christos-Savvas Bouganis
2015	—	`conf`	An exact MCMC accelerator under custom precision regimes. FPT Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis
2015	B	`conf`	FPGA based nonlinear Support Vector Machine training using an ensemble learning. FPL Mudhar Bin Rabieah, Christos-Savvas Bouganis
2015	A*	`conf`	Robust multi-image based blind face hallucination. CVPR Yonggang Jin, Christos-Savvas Bouganis
2015	B	`conf`	Towards heterogeneous solvers for large-scale linear systems. FPL Stylianos I. Venieris, Grigorios Mingas, Christos-Savvas Bouganis
2014	—	`conf`	A Unified Framework for Over-Clocking Linear Projections on FPGAs under PVT Variation. ARC Rui Policarpo Duarte, Christos-Savvas Bouganis
2014	—	`conf`	DeSyRe: On-Demand Adaptive and Reconfigurable Fault-Tolerant SoCs. ARC Ioannis Sourdis, Christos Strydis, Antonino Armato, Christos-Savvas Bouganis, Babak Falsafi, Georgi Nedeltchev Gaydadjiev, Sebastián Isaza, Alirad Malek, R. Mariani, Samuel N. Pagliarini, Dionisios N. Pnevmatikatos, Dhiraj K. Pradhan, Gerard K. Rauwerda, Robert M. Seepers, Rishad Ahmed Shafik, Georgios Smaragdos, Dimitris Theodoropoulos, Stavros Tzilis, Michalis Vavouras
2014	—	`conf`	FPGA-Based Parallel DBSCAN Architecture. ARC Neil Scicluna, Christos-Savvas Bouganis
2014	A	`conf`	Image progressive acquisition for hardware systems. DATE Jianxiong Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung
2014	—	`conf`	Memory optimisation for hardware induction of axis-parallel decision tree. ReConFig Chuan Cheng, Christos-Savvas Bouganis
2014	—	`conf`	Over-clocking of Linear Projection Designs through Device Specific Optimisations. IPDPS Workshops Rui Policarpo Duarte, Christos-Savvas Bouganis
2014	—	`conf`	Parallel resampling for particle filters on FPGAs. FPT Shuanglong Liu, Grigorios Mingas, Christos-Savvas Bouganis
2014	A	`conf`	Pushing the performance boundary of linear projection designs through device specific optimisations (abstract only). FPGA Rui Policarpo Duarte, Christos-Savvas Bouganis
2014	J	`jnl`	Vision-Based Egomotion Estimation on FPGA for Unmanned Aerial Vehicle Navigation. IEEE Trans. Circuits Syst. Video Technol. Maria E. Angelopoulou, Christos-Savvas Bouganis
2014	—	`conf`	Zero-latency datapath error correction framework for over-clocking DSP applications on FPGAs. ReConFig Rui Policarpo Duarte, Christos-Savvas Bouganis
2013	—	`conf`	A hardware-efficient architecture for embedded real-time cascaded support vector machines classification. ACM Great Lakes Symposium on VLSI Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis
2013	B	`conf`	Accelerating Random Forest training process using FPGA. FPL Chuan Cheng, Christos-Savvas Bouganis
2013	—	`conf`	An embedded hardware-efficient architecture for real-time cascade Support Vector Machine classification. ICSAMOS Christos Kyrkou, Theocharis Theocharides, Christos-Savvas Bouganis
2013	J	`jnl`	DeSyRe: On-demand system reliability. Microprocess. Microsystems Ioannis Sourdis, Christos Strydis, Antonino Armato, Christos-Savvas Bouganis, Babak Falsafi, Georgi Nedeltchev Gaydadjiev, Sebastián Isaza, Alirad Malek, R. Mariani, Dionisios N. Pnevmatikatos, Dhiraj K. Pradhan, Gerard K. Rauwerda, Robert M. Seepers, Rishad A. Shafik, Kim Sunesen, Dimitris Theodoropoulos, Stavros Tzilis, Michalis Vavouras
2013	A	`conf`	FPGA-based acceleration of cascaded support vector machines for embedded applications (abstract only). FPGA Christos Kyrkou, Christos-Savvas Bouganis, Theocharis Theocharides
2013	J	`jnl`	Guest editorial: Workshop on Reconfigurable Computing. J. Syst. Archit. Ioannis Sourdis, Christos-Savvas Bouganis, Miquel Pericàs
2013	J	`jnl`	High-level power and performance estimation of FPGA-based soft processors and its application to design space exploration. J. Syst. Archit. Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung
2013	Misc	`conf`	On Optimizing the Arithmetic Precision of MCMC Algorithms. FCCM Grigorios Mingas, Farhan Rahman, Christos-Savvas Bouganis
2012	Misc	`conf`	A Custom Precision Based Architecture for Accelerating Parallel Tempering MCMC on FPGAs without Introducing Sampling Error. FCCM Grigorios Mingas, Christos-Savvas Bouganis
2012	B	`conf`	Early performance estimation of image compression methods on soft processors. FPL Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung
2012	B	`conf`	High-level linear projection circuit design optimization framework for FPGAs under over-clocking. FPL Rui Policarpo Duarte, Christos-Savvas Bouganis
2012	J	`jnl`	Novel Cascade FPGA Accelerator for Support Vector Machines Classification. IEEE Trans. Neural Networks Learn. Syst. Markos Papadonikolakis, Christos-Savvas Bouganis
2012	—	`conf`	Parallel Tempering MCMC Acceleration Using Reconfigurable Hardware. ARC Grigorios Mingas, Christos-Savvas Bouganis
2012	C	`conf`	The DeSyRe Project: On-Demand System Reliability. DSD Ioannis Sourdis, Christos Strydis, Christos-Savvas Bouganis, Babak Falsafi, Georgi Nedeltchev Gaydadjiev, Alirad Malek, R. Mariani, Dionisios N. Pnevmatikatos, Dhiraj K. Pradhan, Gerard K. Rauwerda, Kim Sunesen, Stavros Tzilis
2011	B	`conf`	A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations. FPL Xiang Tian, Christos-Savvas Bouganis
2011	—	`conf`	An FPGA-based object detector with dynamic workload balancing. FPT Chuan Cheng, Christos-Savvas Bouganis
2011	J	`jnl`	Blur identification with assumption validation for sensor-based video reconstruction and its implementation on field programmable gate array. IET Comput. Digit. Tech. Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung
2011	B	`conf`	Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation. ICIP Maria E. Angelopoulou, Christos-Savvas Bouganis
2010	Misc	`conf`	A Heterogeneous FPGA Architecture for Support Vector Machine Training. FCCM Markos Papadonikolakis, Christos-Savvas Bouganis
2010	—	`conf`	A Salient Region Detector for GPU Using a Cellular Automata Architecture. ICONIP (2) David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung
2010	—	`conf`	A novel FPGA-based SVM classifier. FPT Markos Papadonikolakis, Christos-Savvas Bouganis
2010	J	`jnl`	An Optimized Hardware Architecture of a Multivariate Gaussian Random Number Generator. ACM Trans. Reconfigurable Technol. Syst. Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides
2010	—	`conf`	Design of a Financial Application Driven Multivariate Gaussian Random Number Generator for an FPGA. ARC Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides
2010	J	`jnl`	Exploration of Heterogeneous FPGAs for Mapping Linear Projection Designs. IEEE Trans. Very Large Scale Integr. Syst. Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung
2010	B	`conf`	GPU Versus FPGA for High Productivity Computing. FPL David Huw Jones, Adam Powell, Christos-Savvas Bouganis, Peter Y. K. Cheung
2010	B	`conf`	Mapping Multiple Multivariate Gaussian Random Number Generators on an FPGA. FPL Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides
2009	B	`conf`	A sensor-based approach to linear blur identification for real-time video enhancement. ICIP Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung
2009	J	`jnl`	Hardware architectures for eigenvalue computation of real symmetric matrices. IET Comput. Digit. Tech. Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung
2009	—	`conf`	Implementation of a foveal vision mapping. FPT Donald G. Bailey, Christos-Savvas Bouganis
2009	J	`jnl`	Introduction to the Special Issue ARC'08. ACM Trans. Reconfigurable Technol. Syst. Katherine Compton, Roger F. Woods, Christos-Savvas Bouganis, Pedro C. Diniz
2009	J	`jnl`	Robust Real-Time Super-Resolution on FPGA and an Application to Video Enhancement. ACM Trans. Reconfigurable Technol. Syst. Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides
2009	J	`jnl`	Synthesis and Optimization of 2D Filter Designs for Heterogeneous FPGAs. ACM Trans. Reconfigurable Technol. Syst. Christos-Savvas Bouganis, Sung-Boem Park, George A. Constantinides, Peter Y. K. Cheung
2009	—	`conf`	Tracking performance of a foveated vision system. ICARA Donald G. Bailey, Christos-Savvas Bouganis
2009	—	`conf`	Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator. ARC Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides
2008	—	`conf`	A scalable FPGA architecture for non-linear SVM training. FPT Markos Papadonikolakis, Christos-Savvas Bouganis
2008	B	`conf`	Efficient FPGA mapping of Gilbert's algorithm for SVM training on large-scale classification problems. FPL Markos Papadonikolakis, Christos-Savvas Bouganis
2008	—	`conf`	FPGA-based Real-time Super-Resolution on an Adaptive Image Sensor. ARC Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides
2008	—	`conf`	Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA. ARC Chalermpol Saiprasert, Christos-Savvas Bouganis, George A. Constantinides
2008	B	`conf`	Real-time image super resolution using an FPGA. FPL Oliver Bowen, Christos-Savvas Bouganis
2008	—	`ed.`	Reconfigurable Computing: Architectures, Tools and Applications, 4th International Workshop, ARC 2008, London, UK, March 26-28, 2008. Proceedings ARC Roger F. Woods, Katherine Compton, Christos-Savvas Bouganis, Pedro C. Diniz
2008	B	`conf`	Video enhancement on an adaptive image sensor. ICIP Maria E. Angelopoulou, Christos-Savvas Bouganis, Peter Y. K. Cheung
2007	Misc	`conf`	Efficient Mapping of Dimensionality Reduction Designs onto Heterogeneous FPGAs. FCCM Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung
2007	B	`conf`	Efficient mapping of a Kalman filter into an FPGA using Taylor Expansion. FPL Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung
2007	J	`jnl`	Real-time hardware acceleration of the trace transform. J. Real Time Image Process. Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y. K. Cheung, Wayne Luk
2006	B	`conf`	A Spatiotemporal Saliency Framework. ICIP Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung
2006	—	`conf`	A statistical framework for dimensionality reduction implementation in FPGAs. FPT Christos-Savvas Bouganis, Iosifina Pournara, Peter Y. K. Cheung
2006	—	`conf`	An FPGA implementation of the simplex algorithm. FPT Samuel Bayliss, Christos-Savvas Bouganis, George A. Constantinides, Wayne Luk
2006	B	`conf`	Efficient Realtime FPGA Implementation of the Trace Transform. FPL Suhaib A. Fahmy, Christos-Savvas Bouganis, Peter Y. K. Cheung, Wayne Luk
2006	B	`conf`	FPGA-Accelerated Pre-Attentive Segmentation in Primary Visual Cortex. FPL Christos-Savvas Bouganis, Peter Y. K. Cheung, Zhaoping Li
2006	A	`conf`	Hardware efficient architectures for Eigenvalue computation. DATE Yang Liu, Christos-Savvas Bouganis, Peter Y. K. Cheung, Philip Heng Wai Leong, Stephen J. Motley
2005	Misc	`conf`	A Novel 2D Filter Design Methodology for Heterogeneous Devices. FCCM Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung
2005	—	`conf`	A novel 2D filter design methodology. ISCAS (1) Christos-Savvas Bouganis, George A. Constantinides, Peter Y. K. Cheung
2005	B	`conf`	FPGA-Accelerated Reconstruction of Gene Regulatory Networks. FPL Iosifina Pournara, Christos-Savvas Bouganis, George A. Constantinides
2005	B	`conf`	Heterogeneity Exploration for Multiple 2D Filter Designs. FPL Christos-Savvas Bouganis, Peter Y. K. Cheung, George A. Constantinides
2004	B	`conf`	A Steerable Complex Wavelet Construction and Its Implementation on FPGA. FPL Christos-Savvas Bouganis, Peter Y. K. Cheung, Jeffrey Ng, Anil A. Bharath
2004	J	`jnl`	Multiple Light Source Detection. IEEE Trans. Pattern Anal. Mach. Intell. Christos-Savvas Bouganis, Mike Brookes
2004	—	`—`	Multiple light source detection with application to face recognition. Christos-Savvas Bouganis
2003	A	`conf`	Class-based Multiple Light Detection: An Application to Faces. BMVC Christos-Savvas Bouganis, Mike Brookes