Georgios Zacharopoulos

According to our database, Georgios Zacharopoulos authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Graph Neural Networks for High-Level Synthesis Design Space Exploration.

Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi

ACM Trans. Design Autom. Electr. Syst., March, 2023

Early DSE and Automatic Generation of Coarse-grained Merged Accelerators.

Iulian Brumar, Georgios Zacharopoulos, Yuan Yao, Saketh Rama, David Brooks, Gu-Yeon Wei

ACM Trans. Embed. Comput. Syst., March, 2023

Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration.

Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks

ACM Trans. Embed. Comput. Syst., 2023

ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems.

Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli

CoRR, 2023

2022

Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration.

Georgios Zacharopoulos, Adel Ejjeh, Ying Jing, En-Yu Yang, Tianyu Jia, Iulian Brumar, Jeremy Intan, Muhammad Huzaifa, Sarita V. Adve, Vikram S. Adve, Gu-Yeon Wei, David Brooks

CoRR, 2022

2021

A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration.

Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos, Cesare Alippi, Laura Pozzi

CoRR, 2021

2019

RegionSeeker: Automatically Identifying and Selecting Accelerators From Application Source Code.

Georgios Zacharopoulos, Lorenzo Ferretti, Emanuele Giaquinta, Giovanni Ansaloni, Laura Pozzi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Compiler-Assisted Selection of Hardware Acceleration Candidates from Application Source Code.

Georgios Zacharopoulos, Lorenzo Ferretti, Giovanni Ansaloni, Giuseppe Di Guglielmo, Luca P. Carloni, Laura Pozzi

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

2018

Machine Learning Approach for Loop Unrolling Factor Prediction in High Level Synthesis.

Georgios Zacharopoulos, Andrea Barbon, Giovanni Ansaloni, Laura Pozzi

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2016

Multiversioned decoupled access-execute: the key to energy-efficient compilation of general-purpose programs.

Konstantinos Koukos, Per Ekemark, Georgios Zacharopoulos, Vasileios Spiliopoulos, Stefanos Kaxiras, Alexandra Jimborean

Proceedings of the 25th International Conference on Compiler Construction, 2016