23 citations · 92 across the 10 of their papers we have counts for
10 papers
Accelerating TinyML Inference on Microcontrollers through Approximate Kernels
Giorgos Armeniakos, Georgios Mentzos, Dimitrios Soudris
The rapid growth of microcontroller-based IoT devices has opened up numerous applications, from smart manufacturing to personalized healthcare. Despite the widespread adoption of e…
Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC
Vasileios Leon, Panagiotis Minaidis, George Lentaris +1
The challenging deployment of Artificial Intelligence (AI) and Computer Vision (CV) algorithms at the edge pushes the community of embedded computing to examine heterogeneous Syste…
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…
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…
Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures
Manolis Katsaragakis, Christos Baloukas, Lazaros Papadopoulos +3
The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte,…