Ali TehraniJamsaz

According to our database, Ali TehraniJamsaz authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs.

Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming.

Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching.

Ali TehraniJamsaz, Hanze Chen, Ali Jannesari

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels.

Ali TehraniJamsaz, Alok Mishra, Akash Dutta, Abid M. Malik, Barbara M. Chapman, Ali Jannesari

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR.

Jad El Karchi, Hanze Chen, Ali TehraniJamsaz, Ali Jannesari, Mihail Popov, Emmanuelle Saillard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Predicting number of threads using balanced datasets for openMP regions.

Jordi Alcaraz, Ali TehraniJamsaz, Akash Dutta, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César

Computing, May, 2023

AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models.

Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari

CoRR, 2023

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

Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Performance Optimization using Multimodal Modeling and Heterogeneous GNN.

Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks.

Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization.

Ali TehraniJamsaz, Mihail Popov, Akash Dutta, Emmanuelle Saillard, Ali Jannesari

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Building representative and balanced datasets of OpenMP parallel regions.

Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

DeepRace: A learning-based data race detector.

Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari

Proceedings of the 14th IEEE International Conference on Software Testing, 2021

2019

DeepRace: Finding Data Race Bugs via Deep Learning.

Ali Tehrani Jamsaz, Mohammed Khaleel, Reza Akbari, Ali Jannesari

CoRR, 2019