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)

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

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

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

Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology. - Konstantinos Kanellopoulos; Konstantinos Sgouras; F. Nisa Bostanci; Andreas Kosmas Kakolyris; Berkin Kerim Konar; Rahul Bera; Mohammad Sadrosadati; Rakesh Kumar 003; Nandita Vijaykumar; Onur Mutlu (ASPLOS (2), 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)

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)

REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing. - Kangqi Chen; Andreas Kosmas Kakolyris; Rakesh Nadig; Manos Frouzakis; Nika Mansouri-Ghiasi; Yu Liang 004; Haiyu Mao; Jisung Park 001; Mohammad Sadrosadati; Onur Mutlu (CoRR, 2025)