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PERFOGRAPH: A Numerical Aware Program Graph Representation for
  Performance Optimization and Program Analysis

PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis

31 May 2023
Ali TehraniJamsaz
Quazi Ishtiaque Mahmud
Le Chen
Nasreen K. Ahmed
Ali Jannesari
ArXivPDFHTML

Papers citing "PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis"

5 / 5 papers shown
Title
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
Quazi Ishtiaque Mahmud
Ali TehraniJamsaz
Hung Phan
Le Chen
Mihai Capota
Theodore L. Willke
Nesreen Ahmed
Ali Jannesari
62
5
0
20 Feb 2025
The Landscape and Challenges of HPC Research and LLMs
The Landscape and Challenges of HPC Research and LLMs
Le Chen
Nesreen K. Ahmed
Akashnil Dutta
Arijit Bhattacharjee
Sixing Yu
...
Vy A. Vo
J. P. Muñoz
Ted Willke
Tim Mattson
Ali Jannesari
AI4CE
53
20
0
03 Feb 2024
ProGraML: Graph-based Deep Learning for Program Optimization and
  Analysis
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis
Chris Cummins
Zacharias V. Fisches
Tal Ben-Nun
Torsten Hoefler
Hugh Leather
99
56
0
23 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng Zhang
AI4CE
GNN
206
748
0
03 Sep 2019
A Literature Study of Embeddings on Source Code
A Literature Study of Embeddings on Source Code
Zimin Chen
Monperrus Martin
49
82
0
05 Apr 2019
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