Ecenur Ustun

Orcid: 0000-0001-6546-1367

According to our database1, Ecenur Ustun authored at least 10 papers between 2018 and 2023.

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Bibliography

2023
TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design.
ACM Trans. Reconfigurable Technol. Syst., December, 2023

Equality Saturation for Datapath Synthesis: A Pathway to Pareto Optimality.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
IMpress: Large Integer Multiplication Expression Rewriting for FPGA HLS.
Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021
Programming and Synthesis for Software-defined FPGA Acceleration: Status and Future Prospects.
ACM Trans. Reconfigurable Technol. Syst., 2021

GraphLily: Accelerating Graph Linear Algebra on HBM-Equipped FPGAs.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

AutoBridge: Coupling Coarse-Grained Floorplanning and Pipelining for High-Frequency HLS Design on Multi-Die FPGAs.
Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020
Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019
LAMDA: Learning-Assisted Multi-stage Autotuning for FPGA Design Closure.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018
DATuner: An Extensible Distributed Autotuning Framework for FPGA Design and Design Automation: (Abstract Only).
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018


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