Iraklis Anagnostopoulos

Orcid: 0000-0003-0985-3045

According to our database1, Iraklis Anagnostopoulos authored at least 67 papers between 2009 and 2023.

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Bibliography

2023
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators.
IEEE Trans. Emerg. Top. Comput., 2023

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization.
CoRR, 2023

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference.
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing.
IEEE Trans. Green Commun. Netw., 2022

Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Thermal-Aware Design for Approximate DNN Accelerators.
IEEE Trans. Computers, 2022

A Pressure-Aware Policy for Contention Minimization on Multicore Systems.
ACM Trans. Archit. Code Optim., 2022

How much is too much error? Analyzing the impact of approximate multipliers on DNNs.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

Fair Scheduling Through Collaborative Filtering on Multicore Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Enabling Efficient Inference of Convolutional Neural Networks via Approximation.
Proceedings of the Approximate Computing, 2022

2021
Efficient Deployment of Spiking Neural Networks on SpiNNaker Neuromorphic Platform.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Edge-First Resource Management for Video-Based Applications: A Face Detection Use Case.
IEEE Embed. Syst. Lett., 2021

Online frequency-based performance and power estimation for clustered multi-processor systems.
Comput. Electr. Eng., 2021

Impact of NCFET on Neural Network Accelerators.
IEEE Access, 2021

Priority-Aware Scheduling under Shared-Resource Contention on Chip Multicore Processors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Positive/Negative Approximate Multipliers for DNN Accelerators.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Reliability-Aware Quantization for Anti-Aging NPUs.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Control Variate Approximation for DNN Accelerators.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators.
IEEE Trans. Circuits Syst., 2020

Kernel-Based Resource Allocation for Improving GPU Throughput While Minimizing the Activity Divergence of SMs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

NPU Thermal Management.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Meeting Power Constraints While Mitigating Contention on Clustered Multiprocessor System.
IEEE Embed. Syst. Lett., 2020

Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Inference and Energy Efficient Design of Deep Neural Networks for Embedded Devices.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

ARIAN: A Scalable Method for Adding aRbItrAry Numbers on Modern Processors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Machine Learning Approach for Improving Power Efficiency on Clustered Multi-Processor System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Prognostics and Health Management Data Handling by Critical Tasks on Multi-Core Platforms.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

2019
A Message-Passing Microcoded Synchronization for Distributed Shared Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Environmental-Based Speed Recommendation for Future Smart Cars.
Future Internet, 2019

Performance and Fairness Improvement on CMPs Considering Bandwidth and Cache Utilization.
IEEE Comput. Archit. Lett., 2019

Workload-aware Management Targeting Multi-Gateway Internet-of-Things.
Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

2018
A Hierarchical Distributed Runtime Resource Management Scheme for NoC-Based Many-Cores.
ACM Trans. Embed. Comput. Syst., 2018

Fog Computing and Efficient Resource Management in the era of Internet-of-Video Things (IoVT).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Weather-based road condition estimation in the era of Internet-of-Vehicles (IoV).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Optimizing Performance of GPU Applications with SM Activity Divergence Minimization.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

DROP: Distributed Run-Time and Power Constraint Mapping for Many-Core Systems.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

Performance-Based and Aging-Aware Resource Allocation for Concurrent GPU Applications.
Proceedings of the 2018 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2018

Throughput optimization and resource allocation on GPUs under multi-application execution.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

SPA: Simple pool architecture for application resource allocation in many-core systems.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
An efficient and fair scheduling policy for multiprocessor platforms.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A multi-agent based system for run-time distributed resource management.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Application resource management for exploitation of non-volatile memory in many-core systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Performance-Aware Resource Management of Multi-Threaded Applications on Many-Core Systems.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2016
Improving Dynamic Memory Allocation on Many-Core Embedded Systems With Distributed Shared Memory.
IEEE Embed. Syst. Lett., 2016

Agora: Agent and market-based resource management for many-core systems.
Proceedings of the 2016 IEEE International Conference on Electronics, Circuits and Systems, 2016

2014
Μεθοδολογίες και εργαλεία διαχείρισης πόρων και παραμετροποίησης εφαρμογών κατά το χρόνο εκτέλεσης σε πολυπύρηνες ενσωματωμένες πλατφόρμες
PhD thesis, 2014

A MapReduce framework implementation for Network-on-Chip platforms.
Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014

2013
Power-aware dynamic memory management on many-core platforms utilizing DVFS.
ACM Trans. Embed. Comput. Syst., 2013

Distributed run-time resource management for malleable applications on many-core platforms.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013

2012
High-level customization framework for application-specific NoC architectures.
Des. Autom. Embed. Syst., 2012

A divide and conquer based distributed run-time mapping methodology for many-core platforms.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

2011
Custom Microcoded Dynamic Memory Management for Distributed On-Chip Memory Organizations.
IEEE Embed. Syst. Lett., 2011

SPARTAN project: Efficient implementation of computer vision algorithms onto reconfigurable platform targeting to space applications.
Proceedings of the 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2011

Invited paper: Parallel programming and run-time resource management framework for many-core platforms: The 2PARMA approach.
Proceedings of the 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2011

2010
Custom multi-threaded Dynamic Memory Management for Multiprocessor System-on-Chip platforms.
Proceedings of the 2010 International Conference on Embedded Computer Systems: Architectures, 2010

A High-Level Mapping Algorithm Targeting 3D NoC Architectures with Multiple Vdd.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2010

Systematic Exploration of Energy-Efficient Application-Specific Network-on-Chip Architectures.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2010



Multiple Vdd on 3D NoC architectures.
Proceedings of the 17th IEEE International Conference on Electronics, 2010

2009
Application-Specific Temperature Reduction Systematic Methodology for 2D and 3D Networks-on-Chip.
Proceedings of the Integrated Circuit and System Design. Power and Timing Modeling, 2009

Node resource management for DSP applications on 3D Network-on-Chip architecture.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009


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