activity
20232025
most citedApproximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques

29 citations · 109 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2025★ 7 cited

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…

cs.AR2025★ 7 cited

Combining Fault Tolerance Techniques and COTS SoC Accelerators for Payload Processing in Space

Vasileios Leon, Elissaios Alexios Papatheofanous, George Lentaris +5

The ever-increasing demand for computational power and I/O throughput in space applications is transforming the landscape of on-board computing. A variety of Commercial-Off-The-She…

cs.AR2025★ 18 cited

Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications

Vasileios Leon, George Lentaris, Dimitrios Soudris +2

The success of AI/ML in terrestrial applications and the commercialization of space are now paving the way for the advent of AI/ML in satellites. However, the limited processing po…

cs.AR2025★ 15 cited

FPGA & VPU Co-Processing in Space Applications: Development and Testing with DSP/AI Benchmarks

Vasileios Leon, Charalampos Bezaitis, George Lentaris +7

The advent of computationally demanding algorithms and high data rate instruments in new space applications pushes the space industry to explore disruptive solutions for on-board d…

cs.AR2024★ 13 cited

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…

cs.AR2024★ 1 cited

MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space

Vasileios Leon, Panagiotis Minaidis, Dimitrios Soudris +1

The emerging need for fast and power-efficient AI/ML deployment on-board spacecraft has forced the space industry to examine specialized accelerators, which have been successfully…

cs.AR2024★ 1 cited

Development of High-Performance DSP Algorithms on the European Rad-Hard NG-ULTRA SoC FPGA

Vasileios Leon, Anastasios Xynos, Dimitrios Soudris +6

The emergence of demanding space applications has modified the traditional landscape of computing systems in space. When reliability is a first-class concern, in addition to enhanc…

cs.NI2024★ 3 cited

Towards Enabling 5G-NTN Satellite Communications for Manned and Unmanned Rotary Wing Aircraft

Vasileios Leon, Ilias Christofilos, Athanasios Nesiadis +6

Satellite Communications (SatCom) are a backbone of worldwide development. In contrast with the past, when the GEO satellites were the only means for such connectivity, nowadays th…

cs.AR2023★ 15 cited

Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications

Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos +4

The challenging deployment of compute-intensive applications from domains such as Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computin…

cs.AR2023★ 29 cited

Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques

Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos +4

The rapid growth of demanding applications in domains applying multimedia processing and machine learning has marked a new era for edge and cloud computing. These applications invo…

cs.AR2023

From Circuits to SoC Processors: Arithmetic Approximation Techniques & Embedded Computing Methodologies for DSP Acceleration

Vasileios Leon

The computing industry is forced to find alternative design approaches and computing platforms to sustain increased power efficiency, while providing sufficient performance. Among…