Aggelos Ferikoglou

Ph.D. Student

aferikoglou@microlab.ntua.gr

9 Heroon Polytechneiou, Zographou Campus

Aggelos Ferikoglou completed his undergraduate studies at the Department of Electrical and Computer Engineering at the National Technical University of Athens, Greece, in 2020. Currently, he is pursuing his Ph.D. at the Microprocessors and Digital Systems Laboratory within the Department of Electrical and Computer Engineering at NTUA. Concurrently, he serves as a teaching assistant. His research focuses on topics such as Resource Management in Cloud Infrastructures, Hardware Acceleration via High-Level Synthesis, and Automated Design Space Exploration in High-Level Synthesis.

My publications can be accessed through the following Google Scholar link.

Leveraging Large Language Model Prompting for Rapid High-Level Synthesis Kernel Optimization

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

Leveraging Large Language Model Prompting for Rapid High-Level Synthesis Kernel Optimization

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

Leveraging Large Language Model Prompting for Rapid High-Level Synthesis Kernel Optimization

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

Leveraging Large Language Model Prompting for Rapid High-Level Synthesis Kernel Optimization

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