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

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)

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)

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)

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)

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)

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)

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)

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)

Dataflow Optimized Reconfigurable Acceleration for FEM-Based CFD Simulations. - Anastassis Kapetanakis; Aggelos Ferikoglou; George Anagnostopoulos; Sotirios Xydis (DATE, 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)