GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation

8 October 2022

Papers citing "GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation"

5 / 5 papers shown

Title
Performance Debugging through Microarchitectural Sensitivity and Causality Analysis Alban Dutilleul Hugo Pompougnac Nicolas Derumigny Gabriel Rodriguez Valentin Trophime Christophe Guillon Fabrice Rastello 69 0 0 03 Dec 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 38 1 0 09 Oct 2024
MLGO: a Machine Learning Guided Compiler Optimizations Framework Mircea Trofin Yundi Qian E. Brevdo Zinan Lin K. Choromanski D. Li 33 62 0 13 Jan 2021
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 59 56 0 23 Mar 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 255 1,394 0 01 Dec 2016