3 papers
cs.AR2026
MailoHLS: Multi-Adapter Structure-Aware Learning for Pareto-Driven HLS Pragma Optimization
Elena Vouvali, Dimosthenis Masouros, Aggelos Ferikoglou +2
High-Level Synthesis (HLS) enables rapid development of FPGA accelerators, yet achieving high-quality results (QoR) remains challenging due to the large and irregular design space…
cs.DC2025
SynergAI: Edge-to-Cloud Synergy for Architecture-Driven High-Performance Orchestration for AI Inference
Foteini Stathopoulou, Aggelos Ferikoglou, Manolis Katsaragakis +3
The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has significantly heightened computational demands, particularly for inference-serving workloads. Whil…
physics.flu-dyn2025
Dataflow Optimized Reconfigurable Acceleration for FEM-based CFD Simulations
Anastassis Kapetanakis, Aggelos Ferikoglou, George Anagnostopoulos +1
Computational Fluid Dynamics (CFD) simulations are essential for analyzing and optimizing fluid flows in a wide range of real-world applications. These simulations involve approxim…