18 citations · 32 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
A Unified Framework for Mapping and Synthesis of Approximate R-Blocks CGRAs
Georgios Alexandris, Panagiotis Chaidos, Alexis Maras +5
The ever-increasing complexity and operational diversity of modern Neural Networks (NNs) have caused the need for low-power and, at the same time, high-performance edge devices for…
A Bespoke Design Approach to Low-Power Printed Microprocessors for Machine Learning Applications
Panagiotis Chaidos, Giorgos Armeniakos, Sotirios Xydis +1
Printed electronics have gained significant traction in recent years, presenting a viable path to integrating computing into everyday items, from disposable products to low-cost he…
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…
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…