Multi-View Learning for Parallelism Discovery of Sequential Programs. - Le Chen; Quazi Ishtiaque Mahmud; Ali Jannesari (IPDPS Workshops, 2022)

Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. - Le Chen; Quazi Ishtiaque Mahmud; Hung Phan; Nesreen K. Ahmed; Ali Jannesari (MLSys, 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 (NeurIPS, 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)

The Landscape and Challenges of HPC Research and LLMs. - Le Chen; Nesreen K. Ahmed; Akash Dutta; Arijit Bhattacharjee; Sixing Yu; Quazi Ishtiaque Mahmud; Waqwoya Abebe; Hung Phan; Aishwarya Sarkar; Branden Butler; Niranjan Hasabnis; Gal Oren 001; et al. (CoRR, 2024)

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 (NAACL (Long Papers), 2025)

Data Race Satisfiability on Array Elements. - Junhyung Shim; Quazi Ishtiaque Mahmud; Ali Jannesari (CoRR, 2025)