Publications & Slides
Following, a list of publications (both internal and in peer reviewed conferences and workshops)
Publication
- Sollenberger, Z., Patel, R., Ali Zada, S., & Chandrasekaran, S. (2025). LLM4VV:: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests. In IEEE 32nd International Conference on High Performance Computing, Data, and Analytics (HiPC), Hyderabad, India, 2025, pp. 333-342, DOI: 10.1109/HiPC66333.2025.00041.
- Munley, C., Jarmusch, A., & Chandrasekaran, S. (2024). LLM4VV: Developing LLM-driven testsuite for compiler validation. Future Generation Computer Systems, Volume 160, pp. 1–13. Elsevier.
- Sollenberger, Z., Patel, J., Munley, C., Jarmusch, A., & Chandrasekaran, S. (2025). LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. Presentation given at the SC24 Conference. Proceedings of the SC'24 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ‘24). IEEE Press, 1885–1893SC24
- Jarmusch, A. M., Liu, A., Munley, C., Horta, D., Ravichandran, V., Denny, J., & Chandrasekaran, S. (2022). Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. Presentation given at the SC22 Conference. SC22
- Jarmusch, A., Baker, N. & Chandrasekaran, S. (2021). Using IU Jetstream for OpenMP offloading and OpenACC testsuites. Presentation given at the Jetstream Research Experience for Undergraduates Program Presentation Session. Also Presented at the Super Computer Conference in 2021. SC21
- Friedline K., Chandrasekaran S., Lopez M.G., Hernandez O. (2017) "OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures". In: Kunkel J., Yokota R., Taufer M., Shalf J. (eds) High Performance Computing. ISC High Performance 2017. Lecture Notes in Computer Science, vol 10524. Springer, Cham. DOI: 0.1007/ 978-3-319-67630-2_39
- C. Wang, R. Xu, S. Chandrasekaran, B. Chapman and O. Hernandez, "A Validation Testsuite for OpenACC 1.0," 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014, pp. 1407-1416, DOI: 10.1109/ IPDPSW.2014.158.