Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions

A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …

A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL

Z Zhang, C Xu, K Liu, S Xu, L Huang - The Journal of Supercomputing, 2024 - Springer
In the realm of heterogeneous computing, the efficient allocation of resources is pivotal for
optimizing system performance. However, user-submitted tasks are often complex and have …

Towards employing fpga and asip acceleration to enable onboard ai/ml in space applications

V Leon, G Lentaris, D Soudris, S Vellas… - 2022 IFIP/IEEE 30th …, 2022 - ieeexplore.ieee.org
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 power of …

Benchmarking deep learning models on myriad and snapdragon processors for space applications

ER Dunkel, J Swope, A Candela, L West… - Journal of Aerospace …, 2023 - arc.aiaa.org
Future space missions can benefit from processing imagery on board to detect science
events, create insights, and respond autonomously. One of the challenges to this mission …

Accelerating AI and Computer Vision for Satellite Pose Estimation on the Intel Myriad X Embedded SoC

V Leon, P Minaidis, G Lentaris, D Soudris - Microprocessors and …, 2023 - Elsevier
The challenging deployment of Artificial Intelligence (AI) and Computer Vision (CV)
algorithms at the edge pushes the community of embedded computing to examine …

Combining fault tolerance techniques and COTS SoC accelerators for payload processing in space

V Leon, EA Papatheofanous, G Lentaris… - 2022 IFIP/IEEE 30th …, 2022 - ieeexplore.ieee.org
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 …

Systematic embedded development and implementation techniques on intel myriad VPUs

V Leon, K Pekmestzi, D Soudris - 2022 IFIP/IEEE 30th …, 2022 - ieeexplore.ieee.org
The worldwide demand for speed in applications challenges the deployment of compute-
intensive algorithms at the power-constrained edge. Novel embedded devices such as the …

HW/SW co-design on embedded SoC FPGA for star tracking optimization in space applications

V Panousopoulos, E Papaloukas, V Leon… - Journal of Real-Time …, 2024 - Springer
Star trackers are crucial for satellite orientation. Improving their efficiency via reconfigurable
COTS HW accommodates NewSpace missions. The current work considers SoC FPGAs to …

FPGA Innovation Research in the Netherlands: Present Landscape and Future Outlook

N Alachiotis, S Belt, S van der Vlugt… - arxiv preprint arxiv …, 2025 - arxiv.org
FPGAs have transformed digital design by enabling versatile and customizable solutions
that balance performance and power efficiency, yielding them essential for today's diverse …

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

V Leon - arxiv preprint arxiv:2302.12194, 2023 - arxiv.org
The computing industry is forced to find alternative design approaches and computing
platforms to sustain increased power efficiency, while providing sufficient performance …