AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs

AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs

15 March 2024

Md Rubel Ahmed

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Papers citing "AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs"

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Title
Deep Inverse Design for High-Level Synthesis Ping Chang Tosiron Adegbija Yuchao Liao Claudio Talarico Ao Li Janet Roveda 85 0 0 11 Jul 2024
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 56 133 0 09 Mar 2021
Machine Learning for Electronic Design Automation: A Survey Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma ... Yuzhe Ma Haoyu Yang Bei Yu Huazhong Yang Yu Wang 65 236 0 10 Jan 2021
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design Hosein Mohammadi Makrani Farnoud Farahmand Hossein Sayadi Sara Bondi Sai Manoj P D Liang Zhao Avesta Sasan Houman Homayoun S. Rafatirad 33 72 0 29 Jul 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 666 5,835 0 25 Jul 2019