Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design-Reference-Cited by-同舟云学术

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Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 29th International Conference on Field Programmable Logic and Applications (FPL)
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Author:

Mohammadi Makrani Hosein,Farahmand Farnoud,Sayadi Hossein,Bondi Sara,Pudukotai Dinakarrao Sai Manoj,Homayoun Houman,Rafatirad Setareh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8890609/8891988/08892009.pdf?arnumber=8892009

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A High-Performance and Ultra-Low-Power Accelerator Design for Advanced Deep Learning Algorithms on an FPGA;Electronics;2024-07-08

3. Data-driven modeling of reconfigurable multi-accelerator systems under dynamic workloads;Microprocessors and Microsystems;2024-06

4. HLPerf: Demystifying the Performance of HLS-based Graph Neural Networks with Dataflow Architectures;ACM Transactions on Reconfigurable Technology and Systems;2024-04-02

5. Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

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