2 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems
Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic +1
When utilized effectively, Supercloud heterogeneous systems have the potential to significantly enhance performance. Our ReDSEa tool-chain automates the mapping, load balancing, sc…
Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration
Georgios Zacharopoulos, Adel Ejjeh, Ying Jing +9
The design of heterogeneous systems that include domain specific accelerators is a challenging and time-consuming process. While taking into account area constraints, designers mus…
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti, Andrea Cini, Georgios Zacharopoulos +2
The design of efficient hardware accelerators for high-throughput data-processing applications, e.g., deep neural networks, is a challenging task in computer architecture design. I…
Early DSE and Automatic Generation of Coarse Grained Merged Accelerators
Iulian Brumar, Georgios Zacharopoulos, Yuan Yao +3
Post-Moore's law area-constrained systems rely on accelerators to deliver performance enhancements. Coarse grained accelerators can offer substantial domain acceleration, but manua…