Aggelos Ferikoglou

Ph.D. Student

aferikoglou@microlab.ntua.gr

9 Heroon Polytechneiou, Zographou Campus

Aggelos Ferikoglou has received his Diploma from the Department of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Greece, in 2020. Currently, he is a PhD student at Microprocessors Laboratory and Digital Systems Lab (Microlab), School of Electrical and Computer Engineering of NTUA. During his Ph.D. studies he works as a teaching assistant on undergraduate courses. His research interests include resource management on cloud infrastructures and hardware acceleration using high-level synthesis. He is currently working in Aristotle University of Thessaloniki (AUTH) as research associate.

Transferring knowledge acquired from one FPGA to another

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Building FPGA QoR models from a GitHub based HLS knowledge base

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Machine learning based design space exploration for FPGA kernel acceleration

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros and Dimitrios Soudris

Brief: PDF

Improving inference engine GPU colocation using DNN based predictive monitoring

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Transferring knowledge acquired from one FPGA to another

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Building FPGA QoR models from a GitHub based HLS knowledge base

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Machine learning based design space exploration for FPGA kernel acceleration

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros and Dimitrios Soudris

Brief: PDF

Improving inference engine GPU colocation using DNN based predictive monitoring

Academic Advisors: Aggelos Ferikoglou , Dimosthenis Masouros , Sotirios Xydis and Dimitrios Soudris

Brief: PDF

Academics

Transferring knowledge acquired from one FPGA to another

Building FPGA QoR models from a GitHub based HLS knowledge base

Machine learning based design space exploration for FPGA kernel acceleration

Improving inference engine GPU colocation using DNN based predictive monitoring

Transferring knowledge acquired from one FPGA to another

Building FPGA QoR models from a GitHub based HLS knowledge base

Machine learning based design space exploration for FPGA kernel acceleration

Improving inference engine GPU colocation using DNN based predictive monitoring