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

29 July 2019

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

5 / 5 papers shown

Title
FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review Junye Jiang Yaan Zhou Yuanhao Gong Haoxuan Yuan Shuanglong Liu 80 0 0 04 May 2025
Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis Jieru Zhao Tingyuan Liang Sharad Sinha Wei Zhang 37 46 0 06 May 2019
Benchmarking the Capabilities and Limitations of SAT Solvers in Defeating Obfuscation Schemes Shervin Roshanisefat Harshith K. Thirumala K. Gaj Houman Homayoun Avesta Sasan ELM 34 18 0 30 Apr 2018
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,346 0 27 May 2016
Coarse-Grain Performance Estimator for Heterogeneous Parallel Computing Architectures like Zynq All-Programmable SoC Daniel Jiménez-González C. Álvarez Antonio Filgueras X. Martorell Jan Langer Juanjo Noguera K. Vissers 10 10 0 27 Aug 2015