Node resource management for DSP applications on 3D Network-on-Chip architecture. - Iraklis Anagnostopoulos; Alexandros Bartzas; Ioannis Vourkas; Dimitrios Soudris (DPS, 2009)

Application-Specific Temperature Reduction Systematic Methodology for 2D and 3D Networks-on-Chip. - Iraklis Anagnostopoulos; Alexandros Bartzas; Dimitrios Soudris (PATMOS, 2009)

Multiple Vdd on 3D NoC architectures. - Kostas Siozios; Iraklis Anagnostopoulos; Dimitrios Soudris (ICECS, 2010)

The MOSART Mapping Optimization for Multi-Core ARchiTectures. - Bernard Candaele; Sylvain Aguirre; Michel Sarlotte; Iraklis Anagnostopoulos; Sotirios Xydis; Alexandros Bartzas; Dimitris Bekiaris; Dimitrios Soudris; Zhonghai Lu; Xiaowen Chen; Jean-Michel Chabloz; Ahmed Hemani; et al. (ISVLSI (Selected papers), 2010)

Mapping Optimisation for Scalable Multi-core ARchiTecture: The MOSART Approach. - Bernard Candaele; Sylvain Aguirre; Michel Sarlotte; Iraklis Anagnostopoulos; Sotirios Xydis; Alexandros Bartzas; Dimitris Bekiaris; Dimitrios Soudris; Zhonghai Lu; Xiaowen Chen; Jean-Michel Chabloz; Ahmed Hemani; et al. (ISVLSI, 2010)

Systematic Exploration of Energy-Efficient Application-Specific Network-on-Chip Architectures. - Iasonas Filippopoulos; Iraklis Anagnostopoulos; Alexandros Bartzas; Dimitrios Soudris; George Economakos (ISVLSI, 2010)

A High-Level Mapping Algorithm Targeting 3D NoC Architectures with Multiple Vdd. - Kostas Siozios; Iraklis Anagnostopoulos; Dimitrios Soudris (ISVLSI, 2010)

Custom multi-threaded Dynamic Memory Management for Multiprocessor System-on-Chip platforms. - Sotirios Xydis; Alexandros Bartzas; Iraklis Anagnostopoulos; Dimitrios Soudris; Kiamal Z. Pekmestzi (ICSAMOS, 2010)

Invited paper: Parallel programming and run-time resource management framework for many-core platforms: The 2PARMA approach. - Cristina Silvano; William Fornaciari; Stefano Crespi-Reghizzi; Giovanni Agosta; Gianluca Palermo; Vittorio Zaccaria; Patrick Bellasi; Fabrizio Castro; Simone Corbetta; Ettore Speziale; Diego Melpignano; J. M. Zins; et al. (ReCoSoC, 2011)

SPARTAN project: Efficient implementation of computer vision algorithms onto reconfigurable platform targeting to space applications. - Kostas Siozios; Dionysios Diamantopoulos; Ioannis Kostavelis; Evangelos Boukas; Lazaros Nalpantidis; Dimitrios Soudris; Antonios Gasteratos; Marcos Avilés; Iraklis Anagnostopoulos (ReCoSoC, 2011)

Custom Microcoded Dynamic Memory Management for Distributed On-Chip Memory Organizations. - Iraklis Anagnostopoulos; Sotirios Xydis; Alexandros Bartzas; Zhonghai Lu; Dimitrios Soudris; Axel Jantsch (IEEE Embed. Syst. Lett., 2011)

A divide and conquer based distributed run-time mapping methodology for many-core platforms. - Iraklis Anagnostopoulos; Alexandros Bartzas; Georgios Kathareios; Dimitrios Soudris (DATE, 2012)

High-level customization framework for application-specific NoC architectures. - Iraklis Anagnostopoulos; Alexandros Bartzas; Iasonas Filippopoulos; Dimitrios Soudris (Des. Autom. Embed. Syst., 2012)

Distributed run-time resource management for malleable applications on many-core platforms. - Iraklis Anagnostopoulos; Vasileios Tsoutsouras; Alexandros Bartzas; Dimitrios Soudris (DAC, 2013)

Power-aware dynamic memory management on many-core platforms utilizing DVFS. - Iraklis Anagnostopoulos; Jean-Michel Chabloz; Ioannis Koutras; Alexandros Bartzas; Ahmed Hemani; Dimitrios Soudris (ACM Trans. Embed. Comput. Syst., 2013)

A MapReduce framework implementation for Network-on-Chip platforms. - Konstantinos Gyftakis; Iraklis Anagnostopoulos; Dimitrios Soudris; Dionysios I. Reisis (ICECS, 2014)

Μεθοδολογίες και εργαλεία διαχείρισης πόρων και παραμετροποίησης εφαρμογών κατά το χρόνο εκτέλεσης σε πολυπύρηνες ενσωματωμένες πλατφόρμες - Iraklis Anagnostopoulos (2014)

Agora: Agent and market-based resource management for many-core systems. - Themistoklis Melissaris; Iraklis Anagnostopoulos; Dimitrios Soudris; Dionysios I. Reisis (ICECS, 2016)

Improving Dynamic Memory Allocation on Many-Core Embedded Systems With Distributed Shared Memory. - Ioannis Koutras; Iraklis Anagnostopoulos; Alexandros Bartzas; Dimitrios Soudris (IEEE Embed. Syst. Lett., 2016)

Performance-Aware Resource Management of Multi-Threaded Applications on Many-Core Systems. - Daniel Olsen; Iraklis Anagnostopoulos (ACM Great Lakes Symposium on VLSI, 2017)

Application resource management for exploitation of non-volatile memory in many-core systems. - Setareh Behroozi; Iraklis Anagnostopoulos (ISCAS, 2017)

A multi-agent based system for run-time distributed resource management. - Ioannis Galanis; Daniel Olsen; Iraklis Anagnostopoulos (ISCAS, 2017)

An efficient and fair scheduling policy for multiprocessor platforms. - Theodoros Marinakis; Alexandros-Herodotos Haritatos; Konstantinos Nikas; Georgios I. Goumas; Iraklis Anagnostopoulos (ISCAS, 2017)

SPA: Simple pool architecture for application resource allocation in many-core systems. - Jayasimha Sai Koduri; Iraklis Anagnostopoulos (DATE, 2018)

Throughput optimization and resource allocation on GPUs under multi-application execution. - Srinivasa Reddy Punyala; Theodoros Marinakis; Arash Komaee; Iraklis Anagnostopoulos (DATE, 2018)

Performance-Based and Aging-Aware Resource Allocation for Concurrent GPU Applications. - Zois-Gerasimos Tasoulas; Ryan Guss; Iraklis Anagnostopoulos (DFT, 2018)

DROP: Distributed Run-Time and Power Constraint Mapping for Many-Core Systems. - Mohammad Mohammad; Iraklis Anagnostopoulos (ICECS, 2018)

Optimizing Performance of GPU Applications with SM Activity Divergence Minimization. - Zois-Gerasimos Tasoulas; Iraklis Anagnostopoulos (ICECS, 2018)

Weather-based road condition estimation in the era of Internet-of-Vehicles (IoV). - Ioannis Galanis; Priyaa Gurunathan; Dona Burkard; Iraklis Anagnostopoulos (ISCAS, 2018)

Fog Computing and Efficient Resource Management in the era of Internet-of-Video Things (IoVT). - Sai Saketh Nandan Perala; Ioannis Galanis; Iraklis Anagnostopoulos (ISCAS, 2018)

A Hierarchical Distributed Runtime Resource Management Scheme for NoC-Based Many-Cores. - Vasileios Tsoutsouras; Iraklis Anagnostopoulos; Dimosthenis Masouros; Dimitrios Soudris (ACM Trans. Embed. Comput. Syst., 2018)

Workload-aware Management Targeting Multi-Gateway Internet-of-Things. - Ioannis Galanis; Theodoros Marinakis; Iraklis Anagnostopoulos (COINS, 2019)

Performance and Fairness Improvement on CMPs Considering Bandwidth and Cache Utilization. - Theodoros Marinakis; Iraklis Anagnostopoulos (IEEE Comput. Archit. Lett., 2019)

Environmental-Based Speed Recommendation for Future Smart Cars. - Ioannis Galanis; Iraklis Anagnostopoulos; Priyaa Gurunathan; Dona Burkard (Future Internet, 2019)

A Message-Passing Microcoded Synchronization for Distributed Shared Memory Architectures. - Zois-Gerasimos Tasoulas; Iraklis Anagnostopoulos; Lazaros Papadopoulos; Dimitrios Soudris (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Prognostics and Health Management Data Handling by Critical Tasks on Multi-Core Platforms. - Iraklis Anagnostopoulos; Dimitri Kagaris; Jeff Schmidt (ICECS, 2020)

A Machine Learning Approach for Improving Power Efficiency on Clustered Multi-Processor System. - Shivam Kundan; Iraklis Anagnostopoulos (ISCAS, 2020)

ARIAN: A Scalable Method for Adding aRbItrAry Numbers on Modern Processors. - Konstantinos Poulos; Iraklis Anagnostopoulos; Themistoklis Haniotakis (ISCAS, 2020)

Inference and Energy Efficient Design of Deep Neural Networks for Embedded Devices. - Ioannis Galanis; Iraklis Anagnostopoulos; Chinh Nguyen; Guillermo Bares; Dona Burkard (ISVLSI, 2020)

Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things. - Jonathan Dickerson; Ioannis Galanis; Zois-Gerasimos Tasoulas; Lincoln Kinley; Iraklis Anagnostopoulos (WF-IoT, 2020)

Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems. - Ourania Spantidi; Ioannis Galanis; Iraklis Anagnostopoulos (WF-IoT, 2020)

Meeting Power Constraints While Mitigating Contention on Clustered Multiprocessor System. - Theodoros Marinakis; Shivam Kundan; Iraklis Anagnostopoulos (IEEE Embed. Syst. Lett., 2020)

NPU Thermal Management. - Hussam Amrouch; Georgios Zervakis 001; Sami Salamin; Hammam Kattan; Iraklis Anagnostopoulos; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Kernel-Based Resource Allocation for Improving GPU Throughput While Minimizing the Activity Divergence of SMs. - Zois-Gerasimos Tasoulas; Iraklis Anagnostopoulos (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. - Zois-Gerasimos Tasoulas; Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (IEEE Trans. Circuits Syst., 2020)

Control Variate Approximation for DNN Accelerators. - Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (DAC, 2021)

Reliability-Aware Quantization for Anti-Aging NPUs. - Sami Salamin; Georgios Zervakis 001; Ourania Spantidi; Iraklis Anagnostopoulos; Jörg Henkel; Hussam Amrouch (DATE, 2021)

Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration. - Ourania Spantidi; Iraklis Anagnostopoulos; Georgios Fainekos (DATE, 2021)

Positive/Negative Approximate Multipliers for DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (ICCAD, 2021)

Priority-Aware Scheduling under Shared-Resource Contention on Chip Multicore Processors. - Shivam Kundan; Iraklis Anagnostopoulos (ISCAS, 2021)

Impact of NCFET on Neural Network Accelerators. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Sami Salamin; Yogesh Singh Chauhan; Jörg Henkel; Hussam Amrouch (IEEE Access, 2021)

Online frequency-based performance and power estimation for clustered multi-processor systems. - Shivam Kundan; Ourania Spantidi; Iraklis Anagnostopoulos (Comput. Electr. Eng., 2021)

Edge-First Resource Management for Video-Based Applications: A Face Detection Use Case. - Ioannis Galanis; Sai Saketh Nandan Perala; Lincoln Kinley; Iraklis Anagnostopoulos (IEEE Embed. Syst. Lett., 2021)

Efficient Deployment of Spiking Neural Networks on SpiNNaker Neuromorphic Platform. - Ioannis Galanis; Iraklis Anagnostopoulos; Chinh Nguyen; Guillermo Bares (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Enabling Efficient Inference of Convolutional Neural Networks via Approximation. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (Approximate Computing, 2022)

Fair Scheduling Through Collaborative Filtering on Multicore Systems. - Ourania Spantidi; Theodoros Marinakis; Iraklis Anagnostopoulos (ISCAS, 2022)

How much is too much error? Analyzing the impact of approximate multipliers on DNNs. - Ourania Spantidi; Iraklis Anagnostopoulos (ISQED, 2022)

A Pressure-Aware Policy for Contention Minimization on Multicore Systems. - Shivam Kundan; Theodoros Marinakis; Iraklis Anagnostopoulos; Dimitri Kagaris (ACM Trans. Archit. Code Optim., 2022)

Thermal-Aware Design for Approximate DNN Accelerators. - Georgios Zervakis 001; Iraklis Anagnostopoulos; Sami Salamin; Ourania Spantidi; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch (IEEE Trans. Computers, 2022)

Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. - Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. - Nafis Irtija; Iraklis Anagnostopoulos; Georgios Zervakis 001; Eirini-Eleni Tsiropoulou; Hussam Amrouch; Jörg Henkel (IEEE Trans. Green Commun. Netw., 2022)

OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. - Andreas Karatzas; Iraklis Anagnostopoulos (DAC, 2023)

Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints. - Ourania Spantidi; Iraklis Anagnostopoulos (DATE, 2023)

The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. - Ourania Spantidi; Iraklis Anagnostopoulos (HPSR, 2023)

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices. - Yuke Li; Jiwon Baik; Md Marufi Rahman; Iraklis Anagnostopoulos; Ruopu Li; Tong Shu (SC Workshops, 2023)

Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. - Ourania Spantidi; Georgios Zervakis 001; Sami Alsalamin; Isai Roman-Ballesteros; Jörg Henkel; Hussam Amrouch; Iraklis Anagnostopoulos (IEEE Trans. Emerg. Top. Comput., 2023)

Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection. - Amirhossein Nazeri; Denys W. Godwin; Aikaterini Maria Panteleaki; Iraklis Anagnostopoulos; Michael I. Edidem; Ruopu Li; Tong Shu (IEEE Big Data, 2024)

MapFormer: Attention-based multi-DNN manager for throughout & power co-optimization on embedded devices. - Andreas Karatzas; Iraklis Anagnostopoulos (ICCAD, 2024)

Carbon-Aware Design of DNN Accelerators: Bridging Performance and Sustainability. - Aikaterini Maria Panteleaki; Iraklis Anagnostopoulos (ISVLSI, 2024)

An LLM-Tool Compiler for Fused Parallel Function Calling. - Simranjit Singh 003; Andreas Karatzas; Michael Fore; Iraklis Anagnostopoulos; Dimitrios Stamoulis (CoRR, 2024)

LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. - Simranjit Singh 003; Michael Fore; Andreas Karatzas; Chaehong Lee; Yanan Jian; Longfei Shangguan; Fuxun Yu; Iraklis Anagnostopoulos; Dimitrios Stamoulis (CoRR, 2024)

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. - Konstantinos Balaskas; Andreas Karatzas; Christos Sad; Kostas Siozios; Iraklis Anagnostopoulos; Georgios Zervakis 001; Jörg Henkel (IEEE Trans. Emerg. Top. Comput., 2024)

Pythia: An Edge-First Agent for State Prediction in High-Dimensional Environments. - Andreas Karatzas; Iraklis Anagnostopoulos (IEEE Embed. Syst. Lett., 2024)

RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices. - Andreas Karatzas; Dimitrios Stamoulis; Iraklis Anagnostopoulos (DATE, 2025)

Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators. - Aikaterini Maria Panteleaki; Konstantinos Balaskas; Georgios Zervakis 001; Hussam Amrouch; Iraklis Anagnostopoulos (DATE, 2025)

Less is More: Optimizing Function Calling for LLM Execution on Edge Devices. - Varatheepan Paramanayakam; Andreas Karatzas; Iraklis Anagnostopoulos; Dimitrios Stamoulis (DATE, 2025)

Leveraging Image Difficulty for Run-Time Adaptive DNN Inference on Embedded Devices. - Vasileios Pentsos; Ourania Spantidi; Georgios Zervakis 001; Iraklis Anagnostopoulos (ISCAS, 2025)

Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNs. - Ourania Spantidi; Georgios Zervakis 001; Jörg Henkel; Iraklis Anagnostopoulos (ISCAS, 2025)

Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability. - Aikaterini Maria Panteleaki; Konstantinos Balaskas; Georgios Zervakis 001; Hussam Amrouch; Iraklis Anagnostopoulos (ISVLSI, 2025)

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers. - Aikaterini Maria Panteleaki; Varatheepan Paramanayakam; Vasileios Pentsos; Andreas Karatzas; Spyros Tragoudas; Iraklis Anagnostopoulos (ISVLSI, 2025)

Leveraging Highly Approximated Multipliers in DNN Inference. - Georgios Zervakis 001; Fabio Frustaci; Ourania Spantidi; Iraklis Anagnostopoulos; Hussam Amrouch; Jörg Henkel (IEEE Access, 2025)

Balancing Throughput and Fair Execution of Multi-DNN Workloads on Heterogeneous Embedded Devices. - Andreas Karatzas; Iraklis Anagnostopoulos (IEEE Trans. Emerg. Top. Comput., 2025)

Multi-Agent Geospatial Copilots for Remote Sensing Workflows. - Chaehong Lee; Varatheepan Paramanayakam; Andreas Karatzas; Yanan Jian; Michael Fore; Heming Liao; Fuxun Yu; Ruopu Li; Iraklis Anagnostopoulos; Dimitrios Stamoulis (CoRR, 2025)

Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers. - Varatheepan Paramanayakam; Andreas Karatzas; Dimitrios Stamoulis; Iraklis Anagnostopoulos (CoRR, 2025)

CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices. - Varatheepan Paramanayakam; Andreas Karatzas; Iraklis Anagnostopoulos; Dimitrios Stamoulis (CoRR, 2025)

Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning. - Syed Mhamudul Hasan; Hussein Zangoti; Iraklis Anagnostopoulos; Abdur Rahman Bin Shahid (CoRR, 2025)