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ORCIDIraklis Anagnostopoulos
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2020 – today
- 2024
[c44]Aikaterini Maria Panteleaki, Iraklis Anagnostopoulos:
Carbon-Aware Design of DNN Accelerators: Bridging Performance and Sustainability. ISVLSI 2024: 515-520- [i8]Simranjit Singh, Andreas Karatzas, Michael Fore, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
An LLM-Tool Compiler for Fused Parallel Function Calling. CoRR abs/2405.17438 (2024) - [i7]Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis:
LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. CoRR abs/2406.06799 (2024) - 2023
- [j21]Ourania Spantidi
, Georgios Zervakis, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos:
Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN Accelerators. IEEE Trans. Emerg. Top. Comput. 11(1): 112-125 (2023) - [c43]Andreas Karatzas, Iraklis Anagnostopoulos:
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. DAC 2023: 1-6 - [c42]Ourania Spantidi, Iraklis Anagnostopoulos:
Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints. DATE 2023: 1-6 - [c41]Ourania Spantidi, Iraklis Anagnostopoulos:
The Perfect Match: Selecting Approximate Multipliers for Energy-Efficient Neural Network Inference. HPSR 2023: 27-32 - [c40]Yuke Li, Jiwon Baik, Md Marufi Rahman, Iraklis Anagnostopoulos, Ruopu Li, Tong Shu:
Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices. SC Workshops 2023: 1767-1775 - [i6]Andreas Karatzas, Iraklis Anagnostopoulos:
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload. CoRR abs/2307.03290 (2023) - [i5]Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. CoRR abs/2312.15322 (2023) - 2022
- [j20]Shivam Kundan, Theodoros Marinakis, Iraklis Anagnostopoulos, Dimitri Kagaris:
A Pressure-Aware Policy for Contention Minimization on Multicore Systems. ACM Trans. Archit. Code Optim. 19(3): 40:1-40:26 (2022) - [j19]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Ourania Spantidi, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch:
Thermal-Aware Design for Approximate DNN Accelerators. IEEE Trans. Computers 71(10): 2687-2697 (2022) - [j18]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3838-3849 (2022) - [j17]Nafis Irtija, Iraklis Anagnostopoulos, Georgios Zervakis, Eirini-Eleni Tsiropoulou, Hussam Amrouch, Jörg Henkel:
Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing. IEEE Trans. Green Commun. Netw. 6(1): 281-294 (2022) - [c39]Ourania Spantidi, Theodoros Marinakis, Iraklis Anagnostopoulos:
Fair Scheduling Through Collaborative Filtering on Multicore Systems. ISCAS 2022: 1551-1555 - [c38]Ourania Spantidi, Iraklis Anagnostopoulos:
How much is too much error? Analyzing the impact of approximate multipliers on DNNs. ISQED 2022: 1-6 - [p1]Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Enabling Efficient Inference of Convolutional Neural Networks via Approximation. Approximate Computing 2022: 429-450 - [i4]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Jörg Henkel:
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration. CoRR abs/2207.12350 (2022) - 2021
- [j16]Georgios Zervakis, Iraklis Anagnostopoulos, Sami Salamin, Yogesh Singh Chauhan, Jörg Henkel, Hussam Amrouch:
Impact of NCFET on Neural Network Accelerators. IEEE Access 9: 43748-43758 (2021) - [j15]Shivam Kundan, Ourania Spantidi, Iraklis Anagnostopoulos:
Online frequency-based performance and power estimation for clustered multi-processor systems. Comput. Electr. Eng. 90: 106971 (2021) - [j14]Ioannis Galanis, Sai Saketh Nandan Perala, Lincoln Kinley, Iraklis Anagnostopoulos:
Edge-First Resource Management for Video-Based Applications: A Face Detection Use Case. IEEE Embed. Syst. Lett. 13(2): 33-36 (2021) - [j13]Ioannis Galanis, Iraklis Anagnostopoulos, Chinh Nguyen, Guillermo Bares:
Efficient Deployment of Spiking Neural Networks on SpiNNaker Neuromorphic Platform. IEEE Trans. Circuits Syst. II Express Briefs 68(6): 1937-1941 (2021) - [c37]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. DAC 2021: 481-486 - [c36]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. DATE 2021: 1460-1465 - [c35]Ourania Spantidi, Iraklis Anagnostopoulos, Georgios Fainekos:
Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration. DATE 2021: 1673-1678 - [c34]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. ICCAD 2021: 1-9 - [c33]Shivam Kundan, Iraklis Anagnostopoulos:
Priority-Aware Scheduling under Shared-Resource Contention on Chip Multicore Processors. ISCAS 2021: 1-5 - [i3]Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Control Variate Approximation for DNN Accelerators. CoRR abs/2102.09642 (2021) - [i2]Sami Salamin, Georgios Zervakis, Ourania Spantidi, Iraklis Anagnostopoulos, Jörg Henkel, Hussam Amrouch:
Reliability-Aware Quantization for Anti-Aging NPUs. CoRR abs/2103.04812 (2021) - [i1]Ourania Spantidi, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Positive/Negative Approximate Multipliers for DNN Accelerators. CoRR abs/2107.09366 (2021) - 2020
- [j12]Theodoros Marinakis, Shivam Kundan, Iraklis Anagnostopoulos:
Meeting Power Constraints While Mitigating Contention on Clustered Multiprocessor System. IEEE Embed. Syst. Lett. 12(3): 99-102 (2020) - [j11]Hussam Amrouch, Georgios Zervakis, Sami Salamin, Hammam Kattan, Iraklis Anagnostopoulos, Jörg Henkel:
NPU Thermal Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3842-3855 (2020) - [j10]Zois-Gerasimos Tasoulas, Iraklis Anagnostopoulos:
Kernel-Based Resource Allocation for Improving GPU Throughput While Minimizing the Activity Divergence of SMs. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(2): 428-440 (2020) - [j9]Zois-Gerasimos Tasoulas, Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators. IEEE Trans. Circuits Syst. 67-I(12): 4670-4683 (2020) - [c32]Iraklis Anagnostopoulos, Dimitri Kagaris, Jeff Schmidt:
Prognostics and Health Management Data Handling by Critical Tasks on Multi-Core Platforms. ICECS 2020: 1-4 - [c31]Shivam Kundan, Iraklis Anagnostopoulos:
A Machine Learning Approach for Improving Power Efficiency on Clustered Multi-Processor System. ISCAS 2020: 1-5 - [c30]Konstantinos Poulos, Iraklis Anagnostopoulos, Themistoklis Haniotakis:
ARIAN: A Scalable Method for Adding aRbItrAry Numbers on Modern Processors. ISCAS 2020: 1-5 - [c29]Ioannis Galanis, Iraklis Anagnostopoulos, Chinh Nguyen, Guillermo Bares, Dona Burkard:
Inference and Energy Efficient Design of Deep Neural Networks for Embedded Devices. ISVLSI 2020: 36-41 - [c28]Jonathan Dickerson, Ioannis Galanis, Zois-Gerasimos Tasoulas, Lincoln Kinley, Iraklis Anagnostopoulos:
Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things. WF-IoT 2020: 1-6 - [c27]Ourania Spantidi, Ioannis Galanis, Iraklis Anagnostopoulos:
Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems. WF-IoT 2020: 1-6
2010 – 2019
- 2019
- [j8]Theodoros Marinakis, Iraklis Anagnostopoulos:
Performance and Fairness Improvement on CMPs Considering Bandwidth and Cache Utilization. IEEE Comput. Archit. Lett. 18(2): 145-148 (2019) - [j7]Ioannis Galanis, Iraklis Anagnostopoulos, Priyaa Gurunathan, Dona Burkard:
Environmental-Based Speed Recommendation for Future Smart Cars. Future Internet 11(3): 78 (2019) - [j6]Zois-Gerasimos Tasoulas, Iraklis Anagnostopoulos, Lazaros Papadopoulos, Dimitrios Soudris:
A Message-Passing Microcoded Synchronization for Distributed Shared Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(5): 975-979 (2019) - [c26]Ioannis Galanis, Theodoros Marinakis, Iraklis Anagnostopoulos:
Workload-aware Management Targeting Multi-Gateway Internet-of-Things. COINS 2019: 110-115 - 2018
- [j5]Vasileios Tsoutsouras, Iraklis Anagnostopoulos, Dimosthenis Masouros, Dimitrios Soudris:
A Hierarchical Distributed Runtime Resource Management Scheme for NoC-Based Many-Cores. ACM Trans. Embed. Comput. Syst. 17(3): 65:1-65:26 (2018) - [c25]Srinivasa Reddy Punyala, Theodoros Marinakis, Arash Komaee, Iraklis Anagnostopoulos:
Throughput optimization and resource allocation on GPUs under multi-application execution. DATE 2018: 73-78 - [c24]Jayasimha Sai Koduri, Iraklis Anagnostopoulos:
SPA: Simple pool architecture for application resource allocation in many-core systems. DATE 2018: 1364-1368 - [c23]Zois-Gerasimos Tasoulas, Ryan Guss, Iraklis Anagnostopoulos:
Performance-Based and Aging-Aware Resource Allocation for Concurrent GPU Applications. DFT 2018: 1-6 - [c22]Mohammad Mohammad, Iraklis Anagnostopoulos:
DROP: Distributed Run-Time and Power Constraint Mapping for Many-Core Systems. ICECS 2018: 245-248 - [c21]Zois-Gerasimos Tasoulas, Iraklis Anagnostopoulos:
Optimizing Performance of GPU Applications with SM Activity Divergence Minimization. ICECS 2018: 621-624 - [c20]Ioannis Galanis, Priyaa Gurunathan, Dona Burkard, Iraklis Anagnostopoulos:
Weather-based road condition estimation in the era of Internet-of-Vehicles (IoV). ISCAS 2018: 1-5 - [c19]Sai Saketh Nandan Perala, Ioannis Galanis, Iraklis Anagnostopoulos:
Fog Computing and Efficient Resource Management in the era of Internet-of-Video Things (IoVT). ISCAS 2018: 1-5 - 2017
- [c18]Daniel Olsen, Iraklis Anagnostopoulos:
Performance-Aware Resource Management of Multi-Threaded Applications on Many-Core Systems. ACM Great Lakes Symposium on VLSI 2017: 119-124 - [c17]Setareh Behroozi, Iraklis Anagnostopoulos:
Application resource management for exploitation of non-volatile memory in many-core systems. ISCAS 2017: 1-4 - [c16]Ioannis Galanis, Daniel Olsen, Iraklis Anagnostopoulos:
A multi-agent based system for run-time distributed resource management. ISCAS 2017: 1-4 - [c15]Theodoros Marinakis, Alexandros-Herodotos Haritatos, Konstantinos Nikas, Georgios I. Goumas, Iraklis Anagnostopoulos:
An efficient and fair scheduling policy for multiprocessor platforms. ISCAS 2017: 1-4 - 2016
- [j4]Ioannis Koutras, Iraklis Anagnostopoulos, Alexandros Bartzas, Dimitrios Soudris:
Improving Dynamic Memory Allocation on Many-Core Embedded Systems With Distributed Shared Memory. IEEE Embed. Syst. Lett. 8(3): 57-60 (2016) - [c14]Themistoklis Melissaris, Iraklis Anagnostopoulos, Dimitrios Soudris, Dionysios I. Reisis:
Agora: Agent and market-based resource management for many-core systems. ICECS 2016: 400-403 - 2014
- [b1]Iraklis Anagnostopoulos:
Μεθοδολογίες και εργαλεία διαχείρισης πόρων και παραμετροποίησης εφαρμογών κατά το χρόνο εκτέλεσης σε πολυπύρηνες ενσωματωμένες πλατφόρμες. National Technical University of Athens, Greece, 2014 - [c13]Konstantinos Gyftakis, Iraklis Anagnostopoulos, Dimitrios Soudris, Dionysios I. Reisis:
A MapReduce framework implementation for Network-on-Chip platforms. ICECS 2014: 120-123 - 2013
- [j3]Iraklis Anagnostopoulos, Jean-Michel Chabloz, Ioannis Koutras, Alexandros Bartzas, Ahmed Hemani, Dimitrios Soudris:
Power-aware dynamic memory management on many-core platforms utilizing DVFS. ACM Trans. Embed. Comput. Syst. 13(1s): 40:1-40:25 (2013) - [c12]Iraklis Anagnostopoulos, Vasileios Tsoutsouras, Alexandros Bartzas, Dimitrios Soudris:
Distributed run-time resource management for malleable applications on many-core platforms. DAC 2013: 168:1-168:6 - 2012
- [j2]Iraklis Anagnostopoulos, Alexandros Bartzas, Iasonas Filippopoulos, Dimitrios Soudris:
High-level customization framework for application-specific NoC architectures. Des. Autom. Embed. Syst. 16(4): 339-361 (2012) - [c11]Iraklis Anagnostopoulos, Alexandros Bartzas, Georgios Kathareios, Dimitrios Soudris:
A divide and conquer based distributed run-time mapping methodology for many-core platforms. DATE 2012: 111-116 - 2011
- [j1]Iraklis Anagnostopoulos, Sotirios Xydis, Alexandros Bartzas, Zhonghai Lu, Dimitrios Soudris, Axel Jantsch:
Custom Microcoded Dynamic Memory Management for Distributed On-Chip Memory Organizations. IEEE Embed. Syst. Lett. 3(2): 66-69 (2011) - [c10]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, Heiko Hübert, Benno Stabernack, Jens Brandenburg, Martin Palkovic, Praveen Raghavan, Chantal Ykman-Couvreur, Iraklis Anagnostopoulos, Alexandros Bartzas, Dimitrios Soudris, Torsten Kempf, Gerd Ascheid, Junaid Ansari, Petri Mähönen, Bart Vanthournout:
Invited paper: Parallel programming and run-time resource management framework for many-core platforms: The 2PARMA approach. ReCoSoC 2011: 1-7 - [c9]Kostas Siozios, Dionysios Diamantopoulos, Ioannis Kostavelis, Evangelos Boukas, Lazaros Nalpantidis, Dimitrios Soudris, Antonios Gasteratos, Marcos Avilés, Iraklis Anagnostopoulos:
SPARTAN project: Efficient implementation of computer vision algorithms onto reconfigurable platform targeting to space applications. ReCoSoC 2011: 1-9 - 2010
- [c8]Kostas Siozios, Iraklis Anagnostopoulos, Dimitrios Soudris:
Multiple Vdd on 3D NoC architectures. ICECS 2010: 831-834 - [c7]Iasonas Filippopoulos, Iraklis Anagnostopoulos, Alexandros Bartzas, Dimitrios Soudris, George Economakos:
Systematic Exploration of Energy-Efficient Application-Specific Network-on-Chip Architectures. ISVLSI 2010: 133-138 - [c6]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, Axel Jantsch, Geert Vanmeerbeeck, Jari Kreku, Kari Tiensyrjä, Fragkiskos Ieromnimon, Dimitrios Kritharidis, Andreas Wiefrink, Bart Vanthournout, Philippe Martin:
The MOSART Mapping Optimization for Multi-Core ARchiTectures. ISVLSI (Selected papers) 2010: 181-195 - [c5]Kostas Siozios, Iraklis Anagnostopoulos, Dimitrios Soudris:
A High-Level Mapping Algorithm Targeting 3D NoC Architectures with Multiple Vdd. ISVLSI 2010: 444-445 - [c4]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, Axel Jantsch, Geert Vanmeerbeeck, Jari Kreku, Kari Tiensyrjä, Fragkiskos Ieromnimon, Dimitrios Kritharidis, Andreas Wiefrink, Bart Vanthournout, Philippe Martin:
Mapping Optimisation for Scalable Multi-core ARchiTecture: The MOSART Approach. ISVLSI 2010: 518-523 - [c3]Sotirios Xydis, Alexandros Bartzas, Iraklis Anagnostopoulos, Dimitrios Soudris, Kiamal Z. Pekmestzi:
Custom multi-threaded Dynamic Memory Management for Multiprocessor System-on-Chip platforms. ICSAMOS 2010: 102-109
2000 – 2009
- 2009
- [c2]Iraklis Anagnostopoulos, Alexandros Bartzas, Ioannis Vourkas, Dimitrios Soudris:
Node resource management for DSP applications on 3D Network-on-Chip architecture. DPS 2009: 1-6 - [c1]Iraklis Anagnostopoulos, Alexandros Bartzas, Dimitrios Soudris:
Application-Specific Temperature Reduction Systematic Methodology for 2D and 3D Networks-on-Chip. PATMOS 2009: 86-95
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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