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Journal Articles
- 2019
[j1]Anand Venkat
, Tharindu Rusira, Raj Barik, Mary W. Hall, Leonard Truong:
SWIRL: High-performance many-core CPU code generation for deep neural networks. Int. J. High Perform. Comput. Appl. 33(6) (2019)
Conference and Workshop Papers
- 2023
- [c7]Tharindu Rusira Patabandi, Mary W. Hall:
Efficiently Learning Locality Optimizations by Decomposing Transformation Domains. CC 2023: 37-49 - 2021
- [c6]Tharindu Rusira Patabandi, Anand Venkat, Abhishek Kulkarni, Pushkar Ratnalikar, Mary W. Hall, Justin Gottschlich:
Predictive data locality optimization for higher-order tensor computations. MAPS@PLDI 2021: 43-52 - 2020
- [c5]Janaan Lake, Tharindu Rusira Patabandi, Mary W. Hall:
Optimized Code Generation for Deep Neural Networks. LCPC 2020: 119-133 - 2019
- [c4]Piyumi Rameshka Amarasinghe Baragamage, Pasindu Senanayake, Thulana Kannangara, Praveen Seneviratne, Sanath Jayasena, Tharindu Rusira Patabandi, Mary W. Hall:
Rigel: A Framework for OpenMP PerformanceTuning. HPCC/SmartCity/DSS 2019: 2093-2102 - [c3]Tharindu Rusira Patabandi, Anand Venkat, Rajkishore Barik, Mary W. Hall:
SWIRL++ : Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks. LCPC 2019: 108-126 - 2017
- [c2]Tharindu Rusira, Mary W. Hall, Protonu Basu:
Automating Compiler-Directed Autotuning for Phased Performance Behavior. IPDPS Workshops 2017: 1362-1371 - 2015
- [c1]Sanath Jayasena, Milinda Fernando, Tharindu Rusira, Chalitha Perera, Chamara Philips:
Auto-Tuning the Java Virtual Machine. IPDPS Workshops 2015: 1261-1270
Coauthor Index
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