Learning to Parallelize in a Shared-Memory Environment with Transformers

27 April 2022

Papers citing "Learning to Parallelize in a Shared-Memory Environment with Transformers"

12 / 12 papers shown

Title
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 52 5 0 20 Feb 2025
OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation Tal Kadosh N. Hasabnis Prema Soundararajan Vy A. Vo Mihai Capota Nesreen Ahmed Yuval Pinter Gal Oren VLM 23 2 0 23 Sep 2024
MPIrigen: MPI Code Generation through Domain-Specific Language Models Nadav Schneider N. Hasabnis Vy A. Vo Tal Kadosh Neva Krien ... Ted Willke Nesreen Ahmed Yuval Pinter Timothy Mattson Gal Oren LRM 19 4 0 14 Feb 2024
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 24 19 0 03 Feb 2024
Scope is all you need: Transforming LLMs for HPC Code Tal Kadosh N. Hasabnis Vy A. Vo Nadav Schneider Neva Krien ... Ted Willke G. Tamir Yuval Pinter Tim Mattson Gal Oren 8 12 0 18 Aug 2023
Quantifying OpenMP: Statistical Insights into Usage and Adoption Tal Kadosh N. Hasabnis Tim Mattson Yuval Pinter Gal Oren 11 9 0 15 Aug 2023
LM4HPC: Towards Effective Language Model Application in High-Performance Computing Le Chen Pei-Hung Lin T. Vanderbruggen C. Liao M. Emani B. D. Supinski 11 24 0 26 Jun 2023
Advising OpenMP Parallelization via a Graph-Based Approach with Transformers Tal Kadosh Nadav Schneider N. Hasabnis Tim Mattson Yuval Pinter Gal Oren 18 17 0 16 May 2023
MPI-rical: Data-Driven MPI Distributed Parallelism Assistance with Transformers Nadav Schneider Tal Kadosh N. Hasabnis Tim Mattson Yuval Pinter Gal Oren 23 8 0 16 May 2023
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation Le Chen Quazi Ishtiaque Mahmud Hung Phan Nesreen Ahmed Ali Jannesari 25 11 0 09 May 2023
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 62 56 0 23 Mar 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,687 0 17 Aug 2015