Performance Optimization using Multimodal Modeling and Heterogeneous GNN-Reference-Cited by-同舟云学术

Performance Optimization using Multimodal Modeling and Heterogeneous GNN

Published:2023-08-07 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing
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Author:

Dutta Akash¹^ORCID,Alcaraz Jordi²^ORCID,TehraniJamsaz Ali¹^ORCID,Cesar Eduardo³^ORCID,Sikora Anna³^ORCID,Jannesari Ali¹^ORCID

Affiliation:

1. Iowa State University, Ames, IA, USA

2. University of Oregon, Eugene, OR, USA

3. Universitat Autònoma de Barcelona, Barcelona, Spain

Funder

Ministerio de Ciencia e Innovación

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3588195.3592984

Reference87 articles.

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4. A Survey of Machine Learning for Big Code and Naturalness

5. Miltiadis Allamanis , Marc Brockschmidt , and Mahmoud Khademi . 2017. Learning to represent programs with graphs. arXiv preprint arXiv:1711.00740 ( 2017 ). Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi. 2017. Learning to represent programs with graphs. arXiv preprint arXiv:1711.00740 (2017).

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