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"

30 / 30 papers shown

Title
Data-Driven Offline Optimization For Architecting Hardware Accelerators Aviral Kumar Amir Yazdanbakhsh Milad Hashemi Kevin Swersky Sergey Levine 53 36 0 20 Oct 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search Kartik Hegde Po-An Tsai Sitao Huang Vikas Chandra A. Parashar Christopher W. Fletcher 41 93 0 02 Mar 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 77 119 0 20 Feb 2021
Apollo: Transferable Architecture Exploration Amir Yazdanbakhsh Christof Angermueller Berkin Akin Yanqi Zhou Albin Jones Milad Hashemi Kevin Swersky S. Chatterjee Ravi Narayanaswami James Laudon 38 24 0 02 Feb 2021
MLGO: a Machine Learning Guided Compiler Optimizations Framework Mircea Trofin Yundi Qian E. Brevdo Zinan Lin K. Choromanski Didong Li 51 62 0 13 Jan 2021
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads Deepak Narayanan Keshav Santhanam Fiodar Kazhamiaka Amar Phanishayee Matei A. Zaharia 36 207 0 20 Aug 2020
Improved Code Summarization via a Graph Neural Network Alexander LeClair S. Haque Lingfei Wu Collin McMillan 49 284 0 06 Apr 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 123 56 0 23 Mar 2020
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 83 29 0 17 Jun 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 41 158 0 21 May 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 415 8,441 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 677 5,457 0 20 Dec 2018
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks Charith Mendis Alex Renda Saman P. Amarasinghe Michael Carbin 25 152 0 21 Aug 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks Daniel Beck Gholamreza Haffari Trevor Cohn GNN 62 323 0 26 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 493 3,101 0 04 Jun 2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks Diego Marcheggiani Jasmijn Bastings Ivan Titov GNN NAI 80 186 0 23 Apr 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 53 1,164 0 26 Mar 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 236 1,873 0 28 Dec 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 106 799 0 01 Nov 2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs Nanyun Peng Hoifung Poon Chris Quirk Kristina Toutanova Wen-tau Yih 58 509 0 12 Aug 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 132 1,610 0 05 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 192 4,619 0 16 Apr 2017
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation Jasmijn Bastings Ivan Titov Wilker Aziz Diego Marcheggiani K. Simaán GNN 81 492 0 15 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 345 7,388 0 04 Apr 2017
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 490 1,405 0 01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 536 28,901 0 09 Sep 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 300 10,412 0 21 Jul 2016
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures Makoto Miwa Joey Tianyi Zhou 125 1,186 0 05 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014