18 citations · 31 across the 5 of their papers we have counts for
5 papers
MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
Vasileios Leon, Georgios Makris, Sotirios Xydis +2
Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established them as the defacto approach for providing advanced Machine Learning tasks with excellent accu…
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…
The Unexpected Efficiency of Bin Packing Algorithms for Dynamic Storage Allocation in the Wild: An Intellectual Abstract
Christos P. Lamprakos, Sotirios Xydis, Francky Catthoor +1
Recent work has shown that viewing allocators as black-box 2DBP solvers bears meaning. For instance, there exists a 2DBP-based fragmentation metric which often correlates monotonic…
Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation
Christos P. Lamprakos, Sotirios Xydis, Francky Catthoor +1
This paper presents a trace-based simulation methodology for constructing representations of workload-allocator interaction. We use two-dimensional rectangular bin packing (2DBP) a…