Vasilis Leon is a PhD candidate at the School of Electrical and Computer Engineering, National Technical University of Athens, Greece. His research interests include FPGA/ASIC designs for DSP applications,
hardware accelerators, low-power designs, embedded systems, approximate computing, computer vision. He has participated in the following research projects of the European Space Agency: 1) “QUEENS-FPGA” (4000119331/17/NL/PS), QUality Evaluation of European New SW for BRAVE FPGA, 2) “LEOTOME” (4000126083/18/NL/FE), demonstration of visuaL basEd navigatiOn algoriThms On Myriad2 procEssor. He has also been a teaching assistant in the following undergraduate courses: “Microprocessors Laboratory”, “Digital VLSI Systems”, “Introduction to VLSI”.
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Walking through the Energy-Error Pareto Frontier of Approximate Multipliers
IEEE Micro -
Energy-efficient VLSI implementation of multipliers with double LSB operands
IET Circuits, Devices and Systems, 2019 -
Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers
IEEE Transactions On Very Large Scale Integration (VLSI) Systems, 26 (3), 2018
Journals
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Efficient support vector machines implementation on Intel/Movidius Myriad 2
2018 7th International Conference on Modern Circuits and Systems Technologies, MOCAST 2018 -
- Konstantinos Maragos ,
- Vasileios Leon ,
- George Lentaris ,
- Dimitrios Soudris ,
- David Gonzalez-Arjona ,
- R. Domingo ,
- A. Pastor ,
- D. M. Codinachs and
- I. Conway
Evaluation Methodology and Reconfiguration Tests on the New European NG-MEDIUM FPGA
2018 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2018 -
- S. Mouselinos ,
- Vasileios Leon ,
- Sotirios Xydis ,
- Dimitrios Soudris and
- Kiamal Pekmestzi
TF2FPGA: A Framework for Projecting and Accelerating Tensorflow CNNs on FPGA Platforms
2019 8th International Conference on Modern Circuits and Systems Technologies, MOCAST 2019 -
- Vasileios Leon ,
- K. Asimakopoulos ,
- Sotirios Xydis ,
- Dimitrios Soudris and
- Kiamal Pekmestzi
Cooperative arithmetic-aware approximation techniques for energy-efficient multipliers
Proceedings - Design Automation Conference, 2019 -
- George Lentaris ,
- G. Chatzitsompanis ,
- Vasileios Leon ,
- Kiamal Pekmestzi and
- Dimitrios Soudris
Combining arithmetic approximation techniques for improved CNN circuit design
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
Conferences
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Implementation of Approximate Convolutional Filters and Floating-Point Components for CNN Applications
Academic Advisors: Kiamal Pekmestzi and Vasileios LeonBrief: PDF -
Customized Redundancy Schemes for Improved Fault-Tolerance of FPGAs in Space Applications
Brief: PDF -
Application of Approximate Computing Techniques on the NVIDIA Deep Learning Accelerator (NVDLA)
Brief: PDF
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Implementation of Approximate Convolutional Filters and Floating-Point Components for CNN Applications
Academic Advisors: Kiamal Pekmestzi and Vasileios LeonBrief: PDF -
Customized Redundancy Schemes for Improved Fault-Tolerance of FPGAs in Space Applications
Brief: PDF -
Application of Approximate Computing Techniques on the NVIDIA Deep Learning Accelerator (NVDLA)
Brief: PDF