Iraklis Anagnostopoulos

Journals

Andreas Karatzas, Iraklis Anagnostopoulos. Balancing Throughput and Fair Execution of Multi-DNN Workloads on Heterogeneous Embedded Devices. IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2024.
Andreas Karatzas, Iraklis Anagnostopoulos. Pythia: An Edge First Agent for State Prediction in High-Dimensional Environments. IEEE Embedded Systems Letters (IEEE ESL), 2024.
Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jorg Henkel. Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023.
Vasileios Pentsos, Ourania Spantidi, Iraklis Anagnostopoulos. Dynamic Image Difficulty-Aware DNN Pruning .Micromachines, 2023
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jorg Henkel. Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022.
Ourania Spantidi, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jorg Henkel, Iraklis Anagnostopoulos. Targeting DNN Inference via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2022.
Shivam Kundan, Theodoros Marinakis, Iraklis Anagnostopoulos, Dimitri Kagaris. A Pressure-Aware Policy for Contention Minimization on Multi-core Systems. ACM Transactions on Architecture and Code Optimization (ACM TACO), 2022.
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Alsalamin, Ourania Spantidi, Isai Roman-Ballesteros, Jorg Henkel, Hussam Amrouch. Thermal-Aware Design for Approximate DNN Accelerators. IEEE Transactions on Computers (IEEE TC), 2022.
Nafis Irtija, Iraklis Anagnostopoulos, Georgios Zervakis, Eirini Eleni Tsiropoulou, Hussam Amrouch, Jorg Henkel. Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. IEEE Transactions on Green Communications and Networking (IEEE TGCN), 2021.
Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh S. Chauhan, Jorg Henkel, Hussam Amrouch. Impact of NCFET on Neural Network Accelerators. IEEE Access, 2021.
Ioannis Galanis, Iraklis Anagnostopoulos, Chinh Nguen, and Guillermo Bares. Efficient Deployment of Spiking Neural Networks on SpiNNaker Neuromorphic Platform. IEEE Transactions on Circuits and Systems II (IEEE TCAS-II), 2020.
Shivam Kundan, Ourania Spantidi, and Iraklis Anagnostopoulos. Online Frequency-based Performance and Power Estimation for Clustered Multi-Processor Systems. Springer Computers and Electrical Engineering, 2020.
Zois-Gerasimos Tasoulas, Georgios Zervakis, Iraklis Anagnostopoulos, and Jorg Henkel. Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. IEEE Transactions on Circuits and Systems I: Regular Papers (IEEE TCAS-I), 2020.
Hussam Amrouch, Georgios Zervakis, Sami Salamin, Hammam Kattan, Iraklis Anagnostopoulos, and Jorg Henkel. NPU Thermal Management. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ESWEEK Special Issue), 2020.
Ioannis Galanis, Sai Saketh Nandan Perala, Lincoln Kinley, and Iraklis Anagnostopoulos. Edge-First Resource Management for Video-based Applications: A Face Detection Use-case. IEEE Embedded Systems Letters (IEEE ESL), 2020.
Theodoros Marinakis, Shivam Kundan, and Iraklis Anagnostopoulos. Meeting Power Constraints while Mitigating Contention on Clustered Multi-Processor Systems. IEEE Embedded Systems Letters (IEEE ESL), 2019.
Theodoros Marinakis and Iraklis Anagnostopoulos. Performance and Fairness Improvement on CMPs Considering Bandwidth and Cache Utilization. IEEE Computer Architecture Letters (IEEE CAL), 2019.
Zois-Gerasimos Tasoulas and Iraklis Anagnostopoulos. Improving GPU Performance with a Power-Aware SM Allocation Methodology. MDPI Electronics Journal, 2019.
Zois-Gerasimos Tasoulas and Iraklis Anagnostopoulos. Kernel-based Resource Allocation for Improving GPU Throughput while Minimizing the Activity Divergence of SMs. IEEE Transactions on Circuits and Systems–I: Regular Papers (IEEE TCAS-I), 2019.
Zois-Gerasimos Tasoulas and Iraklis Anagnostopoulos. Performance and Aging Aware Resource Allocation for Concurrent GPU Applications under Process Variation. IEEE Transactions on Nanotechnology (IEEE TNANO), 2019.
Ioannis Galanis, Iraklis Anagnostopoulos, Priyaa Gurunathan, and Dona Burkard. Environmental-Based Speed Recommendation for Future Smart Cars. Future Internet, 2019.
Zois-Gerasimos Tasoulas, Iraklis Anagnostopoulos, Lazaros Papadopoulos, and Dimitrios Soudris. A Message-Passing Microcoded Synchronization for Distributed Shared Memory Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2018.
Vasileios Tsoutsouras, Iraklis Anagnostopoulos, Dimosthenis Masouros, and Dimitiros Soudris. Hierarchical Distributed Run-time Resource Management scheme for NoC based Many-Cores. ACM Transactions on Embedded Computing Systems (ACM TECS), 17(3):65 2018.
Ioannis Koutras, Iraklis Anagnostopoulos, Alexandros Bartzas, and Dimitrios Soudris. Improving dynamic memory allocation on many-core embedded systems with distributed shared memory. IEEE Embedded Systems Letters (IEEE ESL), 8(3):57–60, 2016.
Iraklis Anagnostopoulos, Jean-Michel Chabloz, Ioannis Koutras, Alexandros Bartzas, Ahmed Hemani, and Dimitrios Soudris. Power-aware dynamic memory management on many-core platforms utilizing dvfs. ACM Transactions on Embedded Computing Systems (TECS), 13(1s):40, 2013.
Iraklis Anagnostopoulos, Alexandros Bartzas, Iason Filippopoulos, and Dimitrios Soudris. High-level customization framework for application-specific noc architectures. Springer Design Automation for Embedded Systems, 16(4):339–361, 2012.
Iraklis Anagnostopoulos, Sotirios Xydis, Alexandros Bartzas, Zhonghai Lu, Dimitrios Soudris, and Axel Jantsch. Custom microcoded dynamic memory management for distributed on-chip memory organizations. IEEE Embedded Systems Letters (IEEE ESL), 3(2):66–69, 2011.

Conferences

Andreas Karatzas, Iraklis Anagnostopoulos. MapFormer: Attention-based multi-DNN Manager for Throughout & Power Co-optimization on Embedded Devices. IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2024.
Aikaterini Maria Panteleaki, Iraklis Anagnostopoulos. Carbon-Aware Design of DNN Accelerators: Bridging Performance and Sustainability. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2024.
Ourania Spantidi, Iraklis Anagnostopoulos. The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. Workshop on Resource-Constraint Machine Learning (RCML) co-hosted with IEEE International Conference on High Performance Switching and Routing (HPSR), 2023.
Andreas Karatzas, Iraklis Anagnostopoulos. OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. IEEE/ACM Design Automation Conference 2023 (DAC), 2023.
Ourania Spantidi, Iraklis Anagnostopoulos. Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints. Best Paper Award, Conference on Design, Automation and Test in Europe (DATE), 2023.
Ourania Spantidi, Iraklis Anagnostopoulos. How much is too much error? Analyzing the impact of approximate multipliers on DNNs. International Symposium on Quality Electronic Design (ISQED), 2022.
Ourania Spantidi, Iraklis Anagnostopoulos. Fair Scheduling Through Collaborative Filtering on Multicore Systems. IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, and Jorg Henkel. Positive/Negative Approximate Multipliers for DNN Accelerators. IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021.
Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, and Jorg Henkel. Control Variate Approximation for DNN Accelerators. IEEE/ACM Design Automation Conference (DAC), 2021.
Shivam Kundan and Iraklis Anagnostopoulos. Priority-Aware Scheduling Under Shared-Resource Contention on Chip Multicore Processors. IEEE International Symposium on Circuits and Systems (ISCAS), 2021.
Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Joerg Henkel and Hussam Amrouch. Reliability-Aware Quantization for Anti-Aging NPUs Conference on Design, Automation and Test in Europe (DATE), 2021.
Ourania Spantidi, Iraklis Anagnostopoulos, and Georgios Fainekos. Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration Conference on Design, Automation and Test in Europe (DATE), 2021.
Iraklis Anagnostopoulos, Dimitri Kagaris, and Jeff Schmidt. Prognostics and Health Management Data Handling by Critical Tasks on Multi-Core Platforms International Conference on Electronics Circuits and Systems (ICECS). IEEE, 2020.
Ioannis Galanis, Iraklis Anagnostopoulos, Chinh Nguyen, Guillermo Bares, and Dona Burkard. Inference and Energy Efficient Design of Deep Neural Networks for Embedded Devices IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2020), 2020
Ourania Spantidi, Ioannis Galanis, and Iraklis Anagnostopoulos. Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems IEEE World Forum on The Internet of Things (WF-IoT 2020), 2020.
Jonathan Dickerson, Ioannis Galanis, Zois-Gerasimos Tasoulas, Lincoln Kinley, and Iraklis Anagnostopoulos. Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things IEEE World Forum on The Internet of Things (WF-IoT 2020). 2020.
Shivam Kundan and Iraklis Anagnostopoulos. A Machine Learning Approach For Improving Power Efficiency on Clustered Multi-Processor System International Symposium on Circuits and Systems (ISCAS), 2020.
Konstantinos Poulos, Iraklis Anagnostopoulos, and Themistoklis Haniotakis. ARIAN: A scalable method for Adding aRbItrAry Numbers on modern processors International Symposium on Circuits and Systems (ISCAS), 2020.
Ioannis Galanis, Theodoros Marinakis, and Iraklis Anagnostopoulos. Workload-aware Management Targetting Multi-Gateway Internet-of-Things ACM International Conference on Omni-layer Intelligent systems (COINS), 2019.
Zois-Gerasimos Tasoulas and Iraklis Anagnostopoulos. Optimizing Performance of GPU Applications with SM Activity Divergence Minimization. IEEE International Conference on Electronics Circuits and Systems (ICECS), 2018.
Mohammad Mohammad and Iraklis Anagnostopoulos. DROP: Distributed Run-Time and Power Constraint Mapping for Many-Core Systems. IEEE International Conference on Electronics Circuits and Systems (ICECS), 2018.
Zois-Gerasimos Tasoulas, Ryan Guss, and Iraklis Anagnostopoulos. Performance-based and Aging-aware Resource Allocation for Concurrent GPU Applications. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) 2018.
Jayasimha Sai Koduri and Iraklis Anagnostopoulos. SPA: Simple Pool Architecture for application resource allocation in many-core systems. IEEE Conference on Design, Automation and Test in Europe (DATE), 2018.
Srinivasa Reddy Punyala, Theodoros Marinakis, Arash Komaee, and Iraklis Anagnostopoulos. Throughput Optimization and Resource Allocation on GPUs under Multi-Application Execution. IEEE Conference on Design, Automation and Test in Europe (DATE), 2018.
Sai Saketh Nandan Perala, Ioannis Galanis, and Iraklis Anagnostopoulos. Fog Computing and Efficient Resource Management in the era of Internet-of-Video Things (IoVT). IEEE International Symposium on Circuits and Systems (ISCAS), 2018.
Ioannis Galanis, Priyaa Gurunathan, Dona Burkard, and Iraklis Anagnostopoulos. Weather-based road condition estimation in the era of Internet-of-Vehicles (IoV). IEEE International Symposium on Circuits and Systems (ISCAS), 2018.
Daniel Olsen and Iraklis Anagnostopoulos. Performance-aware resource management of multi-threaded applications on many-core systems. ACM Great Lakes Symposium on VLSI 2017 (GLSVLSI), 2017.
Theodoros Marinakis, Alexandros-Herodotos Haritatos, Konstantinos Nikas, Georgios Goumas, and Iraklis Anagnostopoulos. An efficient and fair scheduling policy for multiprocessor platforms. IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
Setareh Behroozi and Iraklis Anagnostopoulos. Application resource management for exploitation of non-volatile memory in many-core systems. IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
Ioannis Galanis, Daniel Olsen, and Iraklis Anagnostopoulos. A multi-agent based system for run-time distributed resource management. IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
Themistoklis Melissaris, Iraklis Anagnostopoulos, Dimitrios Soudris, and Dionysios Reisis. Agora: Agent and market-based resource management for many-core systems. IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2016.
Konstantinos Gyftakis, Iraklis Anagnostopoulos, Dimitrios Soudris, and Dionysios Reisis. A map-reduce framework implementation for network-on-chip platforms. IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2014.
Iraklis Anagnostopoulos, Vasileios Tsoutsouras, Alexandros Bartzas, and Dimitrios Soudris. Distributed run-time resource management for malleable applications on many-core platforms. ACM/IEEE Proceedings of the 50th Annual Design Automation Conference (DAC), 2013.
Iraklis Anagnostopoulos, Alexandros Bartzas, Georgios Kathareios, and Dimitrios Soudris. A divide and conquer based distributed run-time mapping methodology for many-core platforms. IEEE Proceedings of the Conference on Design, Automation and Test in Europe (DATE), 2012.
Kostas Siozios, Dionysios Diamantopoulos, Ioannis Kostavelis, Evangelos Boukas, Lazaros Nalpantidis, Dimitrios Soudris, Antonios Gasteratos, Marcos Avilés, and Iraklis Anagnostopoulos. Spartan project: Efficient implementation of computer vision algorithms onto reconfigurable platform targeting to space applications. IEEE International Workshop on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2011.
Cristina Silvano, William Fornaciari, S Crespi Reghizzi, Giovanni Agosta, Gianluca Palermo, Vittorio Zaccaria, Patrick Bellasi, Fabrizio Castro, Simone Corbetta, Ettore Speziale, et al. Parallel programming and run-time resource management framework for many-core platforms: The 2parma approach. IEEE International Workshop on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2011.
Alexandros Bartzas, Patrick Bellasi, Iraklis Anagnostopoulos, Cristina Silvano, William Fornaciari, Dimitrios Soudris, Diego Melpignano, and Chantal Ykman-Couvreur. Runtime resource management techniques for many-core architectures: The 2parma approach. IEEE Proc. of the Intl. Conf. on Engineering of Reconfigurable Systems and Algorithms (ERSA’11), Invited Paper, 2011.
Kostas Siozios, Iraklis Anagnostopoulos, and Dimitrios Soudris. Multiple vdd on 3d noc architectures. IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2010.
Sotirios Xydis, Alexandros Bartzas, Iraklis Anagnostopoulos, Dimitrios Soudris, and Kiamal Pekmestzi. Custom multi-threaded dynamic memory management for multiprocessor system-on-chip platforms. IEEE International Conference on Embedded Computer Systems (SAMOS), 2010.
Bernard Candaele, Sylvain Aguirre, Michel Sarlotte, Iraklis Anagnostopoulos, Sotirios Xydis, Alexandros Bartzas, Dimitris Bekiaris, Dimitrios Soudris,Zhonghai Lu, Xiaowen Chen, et al. Mapping optimisation for scalable multi-core architecture: The mosart approach. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2010.
Iasonas Filippopoulos, Iraklis Anagnostopoulos, Alexandros Bartzas, Dimitrios Soudris, and George Economakos. Systematic exploration of energy-efficient application-specific network-on-chip architectures. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2010.
Kostas Siozios, Iraklis Anagnostopoulos, and Dimitrios Soudris. A high-level mapping algorithm targeting 3d noc architectures with multiple vdd. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2010.
Iraklis Anagnostopoulos, Alexandros Bartzas, and Dimitrios Soudris. Application-specific temperature reduction systematic methodology for 2d and 3d networks-on-chip. International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2009.
Iraklis Anagnostopoulos, Alexandros Bartzas, Ioannis Vourkas, and Dimitrios Soudris. Node resource management for dsp applications on 3d network-on-chip architecture. IEEE International Conference on Digital Signal Processing (DSP), 2009.

Book Editor

Bernard Candaele, Dimitrios Soudris, and Iraklis Anagnostopoulos. Trusted Computing for Embedded Systems. Springer, 2015.

Book Chapters

Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jorg Henkel, Enabling Efficient Inference of Convolutional Neural Networks via Approximation, in Approximate Computing, Springer (under editing).
Ioannis Galanis, Sai Saketh Nandan Perala, Iraklis Anagnostopoulos, Edge Computing and Efficient Resource Management for integration of video devices in Smart Grid deployments. In IoT Platforms Targeting Smart-Grid Domain: Design Challenges and Paradigms. Springer 2018.
Iraklis Anagnostopoulos, Sotyrios Xydis, Alexandros Bartzas, Zhonghai Lu, and Dimitrios Soudris. Chapter 8: Middleware Memory Management in NoC. In Designing 2D and 3D Network-on-Chip Architectures. Springer, 2014.
Candaele, Bernard and Aguirre, Sylvain and Sarlotte, Michel and Anagnostopoulos, Iraklis and Xydis, Sotirios and Bartzas, Alexandros and Bekiaris, Dimitris and Soudris, Dimitrios and Lu, Zhonghai and Chen, Xiaowen and others. Chapter 11: Mapping Optimisation for Scalable multi-core ARchiTecture: The MOSART approach. In VLSI 2010 Annual Symposium. Springer, 2011.
Sotirios Xydis, Alexandors Bartzas, Iraklis Anagnostopoulos and Dimitrios Soudris. Chapter 3: Application-Specific Multi-Threaded Dynamic Memory Management. In Scalable Multi-core Architectures: Design Methodologies and Tools. Springer, 2011.