Learning Execution through Neural Code Fusion

Learning Execution through Neural Code Fusion

17 June 2019

Parthasarathy Ranganathan

Papers citing "Learning Execution through Neural Code Fusion"

10 / 10 papers shown

Title
Learning Generalizable Program and Architecture Representations for Performance Modeling Lingda Li T. Flynn A. Hoisie 32 1 0 25 Oct 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 30 0 0 23 Mar 2023
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 50 3 0 11 Oct 2022
GRANITE: A Graph Neural Network Model for Basic Block Throughput Estimation O. Sýkora P. Phothilimthana Charith Mendis Amir Yazdanbakhsh GNN 45 21 0 08 Oct 2022
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning Rahul Bera Konstantinos Kanellopoulos Anant V. Nori Taha Shahroodi S. Subramoney O. Mutlu 26 80 0 24 Sep 2021
An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks K. Seshadri Berkin Akin James Laudon Ravi Narayanaswami Amir Yazdanbakhsh 30 117 0 20 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 145 0 16 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 248 0 12 Feb 2021
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity Kexin Pei Zhou Xuan Junfeng Yang Suman Jana Baishakhi Ray 24 88 0 16 Dec 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 24 43 0 23 Oct 2020