AEGLE's Cloud Infrastructure for Resource Monitoring and Containerized Accelerated Analytics. - Konstantina Koliogeorgi; Dimosthenis Masouros; Georgios Zervakis 001; Sotirios Xydis; Tobias Becker; Georgi Gaydadjiev; Dimitrios Soudris (ISVLSI, 2017)

From edge to cloud: Design and implementation of a healthcare Internet of Things infrastructure. - Dimosthenis Masouros; Ioannis Bakolas; Vasileios Tsoutsouras; Kostas Siozios; Dimitrios Soudris (PATMOS, 2017)

SoftRM: Self-Organized Fault-Tolerant Resource Management for Failure Detection and Recovery in NoC Based Many-Cores. - Vasileios Tsoutsouras; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (ACM Trans. Embed. Comput. Syst., 2017)

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)

DMRM: Distributed Market-Based Resource Management of Edge Computing Systems. - Manolis Katsaragakis; Dimosthenis Masouros; Vasileios Tsoutsouras; Farzad Samie; Lars Bauer; Jörg Henkel; Dimitrios Soudris (DATE, 2019)

Co-design Implications of Cost-effective On-demand Acceleration for Cloud Healthcare Analytics: The AEGLE approach. - Dimosthenis Masouros; Konstantina Koliogeorgi; Georgios Zervakis 001; Alexandra Kosvyra; Achilleas Chytas; Sotirios Xydis; Ioanna Chouvarda; Dimitrios Soudris (DATE, 2019)

Rusty: Runtime System Predictability Leveraging LSTM Neural Networks. - Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (IEEE Comput. Archit. Lett., 2019)

Exploration of GPU sharing policies under GEMM workloads. - Ioannis Oroutzoglou; Dimosthenis Masouros; Konstantina Koliogeorgi; Sotirios Xydis; Dimitrios Soudris (SCOPES, 2020)

Interference-Aware Orchestration in Kubernetes. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (ISC Workshops, 2020)

Fast Operation Mode Selection for Highly Efficient IoT Edge Devices. - Farzad Samie; Vasileios Tsoutsouras; Dimosthenis Masouros; Lars Bauer; Dimitrios Soudris; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Performance Analysis and Auto-tuning for SPARK in-memory analytics. - Dimitra Nikitopoulou; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (DATE, 2021)

FPGA acceleration in EVOLVE's Converged Cloud-HPC Infrastructure. - Konstantina Koliogeorgi; Fekhr Eddine Keddous; Dimosthenis Masouros; Antony Chazapis; Michelle Aubrun; Sotirios Xydis; Angelos Bilas; Romain Hugues; Jean-Thomas Acquaviva; Huy-Nam Nguyen; Dimitrios Soudris (FPL, 2021)

Resource Aware GPU Scheduling in Kubernetes Infrastructure. - Aggelos Ferikoglou; Dimosthenis Masouros; Achilleas Tzenetopoulos; Sotirios Xydis; Dimitrios Soudris (PARMA-DITAM@HiPEAC, 2021)

SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. - Aristotelis Kretsis; Panagiotis C. Kokkinos; Polyzois Soumplis; Juan Jose Vegas Olmos; Marcell Fehér; Márton Ákos Sipos; Daniel E. Lucani; Dmitry Khabi; Dimosthenis Masouros; Kostas Siozios; Paraskevas Bourgos; Sofia Tsekeridou; et al. (MeditCom, 2021)

Towards Efficient HW Acceleration in Edge-Cloud Infrastructures: The SERRANO Approach - Invited Paper. - Aggelos Ferikoglou; Ioannis Oroutzoglou; Argyris Kokkinis; Dimitrios Danopoulos; Dimosthenis Masouros; Efthymios Chondrogiannis; Aitor Fernández Gómez; Aristotelis Kretsis; Panagiotis C. Kokkinos; Emmanouel A. Varvarigos; Kostas Siozios (SAMOS, 2021)

Interference-Aware Workload Placement for Improving Latency Distribution of Converged HPC/Big Data Cloud Infrastructures. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (SAMOS, 2021)

Leveraging HW Approximation for Exploiting Performance-Energy Trade-offs Within the Edge-Cloud Computing Continuum. - Argyris Kokkinis; Aggelos Ferikoglou; Dimitrios Danopoulos; Dimosthenis Masouros; Kostas Siozios (ISC Workshops, 2021)

FaaS and Curious: Performance Implications of Serverless Functions on Edge Computing Platforms. - Achilleas Tzenetopoulos; Evangelos Apostolakis; Aphrodite Tzomaka; Christos Papakostopoulos; Konstantinos Stavrakakis; Manolis Katsaragakis; Ioannis Oroutzoglou; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (ISC Workshops, 2021)

Rusty: Runtime Interference-Aware Predictive Monitoring for Modern Multi-Tenant Systems. - Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (IEEE Trans. Parallel Distributed Syst., 2021)

Sequence Clock: A Dynamic Resource Orchestrator for Serverless Architectures. - Ioannis Fakinos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (CLOUD, 2022)

Towards making the most of NLP-based device mapping optimization for OpenCL kernels. - Petros Vavaroutsos; Ioannis Oroutzoglou; Dimosthenis Masouros; Dimitrios Soudris (COINS, 2022)

SGRM: Stackelberg Game-Based Resource Management for Edge Computing Systems. - Antonis Karteris; Manolis Katsaragakis; Dimosthenis Masouros; Dimitrios Soudris (DATE, 2022)

EVOLVE: Towards Converging Big-Data, High-Performance and Cloud-Computing Worlds. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Konstantina Koliogeorgi; Sotirios Xydis; Dimitrios Soudris; Antony Chazapis; Christos Kozanitis; Angelos Bilas; Christian Pinto; Huy-Nam Nguyen; Stelios Louloudakis; Georgios Gardikis; et al. (DATE, 2022)

Optimizing Savitzky-Golay Filter on GPU and FPGA Accelerators for Financial Applications. - Ioannis Oroutzoglou; Argyris Kokkinis; Aggelos Ferikoglou; Dimitrios Danopoulos; Dimosthenis Masouros; Kostas Siozios (MOCAST, 2022)

LSTM Acceleration with FPGA and GPU Devices for Edge Computing Applications in B5G MEC. - Dimitrios Danopoulos; Ioannis Stamoulias; George Lentaris; Dimosthenis Masouros; Ioannis Kanaropoulos; Andreas Kosmas Kakolyris; Dimitrios Soudris (SAMOS, 2022)

HW/SW Acceleration of Multiple Workloads Within the SERRANO's Computing Continuum - Invited Paper. - Argyris Kokkinis; Aggelos Ferikoglou; Ioannis Oroutzoglou; Dimitrios Danopoulos; Dimosthenis Masouros; Kostas Siozios (SAMOS, 2022)

HLF-Kubed: Blockchain-Based Resource Monitoring for Edge Clusters. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Nikolaos Kapsoulis; Antonios Litke; Dimitrios Soudris; Theodora A. Varvarigou (Ledger, 2022)

IRIS: Interference and Resource Aware Predictive Orchestration for ML Inference Serving. - Aggelos Ferikoglou; Panos Chrysomeris; Achilleas Tzenetopoulos; Manolis Katsaragakis; Dimosthenis Masouros; Dimitrios Soudris (CLOUD, 2023)

Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics. - Dimitrios Giagkos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (CLOUD, 2023)

The SERRANO platform: Stepping towards seamless application development & deployment in the heterogeneous edge-cloud continuum. - Aggelos Ferikoglou; Argyris Kokkinis; Dimitrios Danopoulos; Ioannis Oroutzoglou; Anastassios Nanos; Stathis Karanastasis; Márton Sipos; Javad Fadaie Ghotbi; Juan Jose Vegas Olmos; Dimosthenis Masouros; Kostas Siozios (DATE, 2023)

RoaD-RuNNer: Collaborative DNN partitioning and offloading on heterogeneous edge systems. - Andreas Kosmas Kakolyris; Manolis Katsaragakis; Dimosthenis Masouros; Dimitrios Soudris (DATE, 2023)

Adjacent LSTM-Based Page Scheduling for Hybrid DRAM/NVM Memory Systems. - Manolis Katsaragakis; Konstantinos Stavrakakis; Dimosthenis Masouros; Lazaros Papadopoulos; Dimitrios Soudris (PARMA-DITAM, 2023)

Adrias: Interference-Aware Memory Orchestration for Disaggregated Cloud Infrastructures. - Dimosthenis Masouros; Christian Pinto; Michele Gazzetti; Sotirios Xydis; Dimitrios Soudris (HPCA, 2023)

Hardware-Accelerated FaaS for the Edge-Cloud Continuum. - Anastassios Nanos; Aristotelis Kretsis; Charalampos Mainas; George Ntouskos; Aggelos Ferikoglou; Dimitrios Danopoulos; Argyris Kokkinis; Dimosthenis Masouros; Kostas Siozios; Polyzois Soumplis; Panagiotis C. Kokkinos; Juan Jose Vegas Olmos; et al. (ICNP, 2023)

On the Implications of Heterogeneous Memory Tiering on Spark In-Memory Analytics. - Manolis Katsaragakis; Dimosthenis Masouros; Lazaros Papadopoulos; Francky Catthoor; Dimitrios Soudris (IPDPS Workshops, 2023)

COMPSYS 2023 Invited Speaker Towards ML-Driven Resource Orchestration in Disaggregated Memory Systems: Challenges and Opportunities. - Dimosthenis Masouros (IPDPS Workshops, 2023)

Towards Privacy-First Security Enablers for 6G Networks: The PRIVATEER Approach. - Dimosthenis Masouros; Dimitrios Soudris; Georgios Gardikis; Victoria Katsarou; Maria Christopoulou; George Xilouris; Hugo Ramón; Antonio Pastor 001; Fabrizio Scaglione; Cristian Petrollini; António Pinto; João P. Vilela; et al. (SAMOS, 2023)

DVFaaS: Leveraging DVFS for FaaS Workflows. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (IEEE Comput. Archit. Lett., 2023)

Data-driven HLS optimization for reconfigurable accelerators. - Aggelos Ferikoglou; Andreas Kosmas Kakolyris; Vasilis Kypriotis; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (DAC, 2024)

Late Breaking Results: Language-level QoR modeling for High-Level Synthesis. - Dimosthenis Masouros; Aggelos Ferikoglou; Georgios Zervakis 001; Sotirios Xydis; Dimitrios Soudris (DAC, 2024)

Decoupled Access-Execute Enabled DVFS for TinyML Deployments on STM32 Microcontrollers. - Elisavet Lydia Alvanaki; Manolis Katsaragakis; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (DATE, 2024)

Disaggregated RDDs: Extending and Analyzing Apache Spark for Memory Disaggregated Infrastructures. - Achilleas Tzenetopoulos; Michele Gazzetti; Dimosthenis Masouros; Christian Pinto; Sotirios Xydis; Dimitrios Soudris (IC2E, 2024)

SLO-Aware GPU DVFS for Energy-Efficient LLM Inference Serving. - Andreas Kosmas Kakolyris; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (IEEE Comput. Archit. Lett., 2024)

Leveraging Core and Uncore Frequency Scaling for Power-Efficient Serverless Workflows. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (CoRR, 2024)

SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving. - Andreas Kosmas Kakolyris; Dimosthenis Masouros; Petros Vavaroutsos; Sotirios Xydis; Dimitrios Soudris (CoRR, 2024)

Sparkle: Deep Learning Driven Autotuning for Taming High-Dimensionality of Spark Deployments. - Dimosthenis Masouros; George Retsinas; Sotirios Xydis; Dimitrios Soudris (IEEE Trans. Cloud Comput., 2024)

CollectiveHLS: Ultrafast Knowledge-Based HLS Design Optimization. - Aggelos Ferikoglou; Andreas Kosmas Kakolyris; Vasilis Kypriotis; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (IEEE Embed. Syst. Lett., 2024)

Orchestration Extensions for Interference- and Heterogeneity-Aware Placement for Data-Analytics. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Dimitrios Soudris (Int. J. Parallel Program., 2024)

AI-Driven QoS-Aware Scheduling for Serverless Video Analytics at the Edge. - Dimitrios Giagkos; Achilleas Tzenetopoulos; Dimosthenis Masouros; Sotirios Xydis; Francky Catthoor; Dimitrios Soudris (Inf., 2024)

Multi-Partner Project: Orchestrating Deployment and Real-Time Monitoring - NEPHELE Multi-Cloud Ecosystem. - Manolis Katsaragakis; Orfeas Filippopoulos; Christos Sad; Dimosthenis Masouros; Dimitrios Spatharakis; Ioannis Dimolitsas; Nikos Filinis; Anastasios Zafeiropoulos; Kostas Siozios; Dimitrios Soudris; Symeon Papavassiliou (DATE, 2025)

Multi-Partner Project: Secure Hardware Accelerated Data Analytics for 6G Networks: The PRIVATEER Approach. - Ilias Papalamprou; Aimilios Leftheriotis; Apostolis Garos; Georgios Gardikis; Maria Christopoulou; George Xilouris; Lampros Argyriou; Antonia Karamatskou; Nikolaos Papadakis; Emmanouil Kalotychos; Nikolaos Chatzivasileiadis; Dimosthenis Masouros; et al. (DATE, 2025)

Towards Asynchronous Peer-to-Peer Federated Learning for Heterogeneous Systems. - Christos Sad; George Retsinas; Dimitrios Soudris; Kostas Siozios; Dimosthenis Masouros (EuroMLSys, 2025)

Towards Elastic Memory Allocation of Serverless Functions in Disaggregated Memory Systems. - Achilleas Tzenetopoulos; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (HCDS, 2025)

throttLL'eM: Predictive GPU Throttling for Energy Efficient LLM Inference Serving. - Andreas Kosmas Kakolyris; Dimosthenis Masouros; Petros Vavaroutsos; Sotirios Xydis; Dimitrios Soudris (HPCA, 2025)

Post-Quantum and Blockchain-Based Attestation for Trusted FPGAs in B5G Networks. - Ilias Papalamprou; Nikolaos Fotos; Nikolaos Chatzivasileiadis; Anna Angelogianni; Dimosthenis Masouros; Dimitrios Soudris (ISCAS, 2025)

PRIVATEER: Secure FPGA Acceleration for 6G AI Edge Analytics. - Aimilios Leftheriotis; Ilias Papalamprou; Apostolos Garos; Georgios Gardikis; Maria Christopoulou; George Xilouris; Georgios Livanos; Nikolaos Papadakis; Dimosthenis Masouros; George Theodoridis; Dimitrios Soudris (ISVLSI, 2025)

Leveraging DVFS for Energy-Efficient and QoS-aware Edge Video Analytics. - Ioannis Loudaros; Georgios Zervakis 001; Dimitrios Soudris; Dimosthenis Masouros (MECC@EuroSys, 2025)

CollectiveHLS: A Collaborative Approach to High-Level Synthesis Design Optimization. - Aggelos Ferikoglou; Andreas Kosmas Kakolyris; Dimosthenis Masouros; Dimitrios Soudris; Sotirios Xydis (ACM Trans. Reconfigurable Technol. Syst., 2025)

FEARLESS: A Federated Reinforcement Learning Orchestrator for Serverless Edge Swarms. - Christos Sad; Dimosthenis Masouros; Kostas Siozios (IEEE Embed. Syst. Lett., 2025)