18 citations · 32 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
Mixed-precision Neural Networks on RISC-V Cores: ISA extensions for Multi-Pumped Soft SIMD Operations
Giorgos Armeniakos, Alexis Maras, Sotirios Xydis +1
Recent advancements in quantization and mixed-precision approaches offers substantial opportunities to improve the speed and energy efficiency of Neural Networks (NN). Research has…
SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving
Andreas Kosmas Kakolyris, Dimosthenis Masouros, Petros Vavaroutsos +2
As Large Language Models (LLMs) gain traction, their reliance on power-hungry GPUs places ever-increasing energy demands, raising environmental and monetary concerns. Inference dom…
Decoupled Access-Execute enabled DVFS for tinyML deployments on STM32 microcontrollers
Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros +2
Over the last years the rapid growth Machine Learning (ML) inference applications deployed on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and microcontr…
Leveraging Core and Uncore Frequency Scaling for Power-Efficient Serverless Workflows
Achilleas Tzenetopoulos, Dimosthenis Masouros, Sotirios Xydis +1
Serverless workflows have emerged in Function-as-a-Service (FaaS) platforms to represent the operational structure of traditional applications. With latency propagation effects bec…