29 citations · 109 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…