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Greetings! I'm a PhD candidate at School of Computing at the University of Utah, advised by Mary Hall. My research focuses on automated compiler optimization for improved data locality and parallelism of high-order tensor applications. Before Utah, I was an undergraduate at the Department of Computer Science and Engineering at University of Moratuwa, Sri Lanka.

Google Scholar GitHub CV

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Publications

• CC'23 "Efficiently Learning Locality Optimizations by Decomposing Transformation Domains." Tharindu R. Patabandi and Mary Hall. 2023. In Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction (CC 2023).
• MAPS'21 "Predictive Data Locality Optimization for Higher-Order Tensor Computations" Tharindu Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary Hall, Justin Gottschlich, The 5th Annual Symposium on Machine Programming. MAPS 2021 [slides] [paper] [BibTex]
• LCPC'19 "SWIRL++ : Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks" Tharindu R. Patabandi, Anand Venkat, Rajkishore Barik, Mary Hall, In: Pande S., Sarkar V. (eds) Languages and Compilers for Parallel Computing. LCPC 2019. Lecture Notes in Computer Science, vol 11998. Springer, Cham. [BibTex]
• IJHPCA "SWIRL: High-performance many-core CPU code generation for deep neural networks", Anand Venkat, Tharindu Rusira, Rajkishore Barik, Mary Hall, Leonard Truong, The International Journal of High Performance Computing Applications 33, no. 6 (2019): 1275-1289. [paper] [BibTex]

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Graduate Coursework

Not an exhaustive list

• CS 6150 Advanced Algorithms (Suresh Venkatasubramanian, Fall 2015)
• CS 6235 Parallel Programming for Many-Core Architectures (Mary Hall, Spring 2016)
• CS 6460 Operating Systems (Ryan Stutsman, Spring 2016)
• CS 6810 Computer Architecture (Mahdi Nazm Bojnordi, Fall 2016)
• CS 6960 Advanced Compilers (John Regehr, Fall 2016)
• CS 6961 Structured Prediction (Vivek Srikumar, Spring 2017)
• CS 6966 Theory of Machine Learning (Aditya Bhaskara, Spring 2017)
• CS 7960 Neuromorphic Architectures (Rajeev Balasubramonian, Fall 2017)