Publications

@inproceedings{VenkataKeerthy-2024-mlcompilerbridge,
  author = {{S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta}},
  title = {The Next 700 ML-Enabled Compiler Optimizations},
  year = {2024},
  isbn = {9798400705076},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3640537.3641580},
  doi = {10.1145/3640537.3641580},
  booktitle = {Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction},
  pages = {238–249},
  numpages = {12},
  keywords = {Machine Learning for Compiler Optimizations, ONNX, Pipes, TensorFlow AOT, gRPC},
  location = {Edinburgh, United Kingdom},
  series = {CC 2024},
}

@inproceedings{Jain-2023-ml_llvm_tools,
  author = {{Siddharth Jain, S. VenkataKeerthy, Umesh Kalvakuntla, Albert Cohen, Ramakrishna Upadrasta}},
  title = {ML-LLVM-Tools: Towards Seamless Integration of Machine Learning in Compiler Optimizations},
  year = {2023},
  booktitle = {2023 European LLVM Developers' Meeting}
}

@inproceedings{VenkataKeerthy-2023-rl4real,
  author = {{S. VenkataKeerthy, Siddharth Jain, Anilava Kundu, Rohit Aggarwal, Albert Cohen, and Ramakrishna Upadrasta}},
  title = {RL4ReAl: Reinforcement Learning for Register Allocation},
  year = {2023},
  isbn = {9798400700880},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3578360.3580273},
  doi = {10.1145/3578360.3580273},
  booktitle = {Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction},
  pages = {133–144},
  numpages = {12},
  keywords = {Register Allocation, Reinforcement Learning},
  series = {CC 2023},
}

@article{Shah-2022-bullseye,
  author = {{Nilesh Rajendra Shah, Ashitabh misra, Antoine Miné, Rakesh Venkat, and Ramakrishna Upadrasta}},
  title = {BullsEye : Scalable and Accurate Approximation Framework for Cache Miss Calculation},
  year = {2022},
  issue_date = {March 2023},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {20},
  number = {1},
  issn = {1544-3566},
  url = {https://doi.org/10.1145/3558003},
  doi = {10.1145/3558003},
  journal = {ACM Trans. Archit. Code Optim.},
  month = nov,
  articleno = {2},
  numpages = {28},
  keywords = {Static analysis, performance analysis, cache model},
}

@inproceedings{Jain-2022-rl_loop_distribution,
  author = {{Shalini Jain, S. VenkataKeerthy, Rohit Aggarwal, Tharun Kumar Dangeti, Dibyendu Das, Ramakrishna Upadrasta}},
  booktitle = {2022 IEEE/ACM Eighth Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)},
  title = {Reinforcement Learning assisted Loop Distribution for Locality and Vectorization},
  year = {2022},
  pages = {1-12},
  keywords = {Training;Measurement;Costs;Computational modeling;Pipelines;Reinforcement learning;Benchmark testing;Loop Distribution;Vectorization;Locality;Reinforcement Learning},
  doi = {10.1109/LLVM-HPC56686.2022.00006},
  url = {https://ieeexplore.ieee.org/document/10026979},
}

@inproceedings{VenkataKeerthy-2023-packet_processing,
  author = {{S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Rinku Shah, Praveen Tammana, Ramakrishna Upadrasta}},
  title = {Packet Processing Algorithm Identification using Program Embeddings},
  year = {2023},
  isbn = {9781450397483},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3542637.3542649},
  doi = {10.1145/3542637.3542649},
  booktitle = {Proceedings of the 6th Asia-Pacific Workshop on Networking},
  pages = {76–82},
  numpages = {7},
  keywords = {SmartNICs, Program Embeddings, Network Function program identification, Machine Learning},
  location = {Fuzhou, China},
  series = {APNet '22},
}

@inproceedings{Jain-2022-posetrl,
  author = {{Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta}},
  booktitle = {2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)},
  title = {POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning},
  year = {2022},
  pages = {121-131},
  keywords = {Training;Codes;Runtime;Reinforcement learning;Manuals;Benchmark testing;Software;Phase Ordering;Compiler Optimization;Reinforcement learning},
  doi = {10.1109/ISPASS55109.2022.00012},
  url = {https://ieeexplore.ieee.org/document/9804673},
}

@inproceedings{Bora-2021-llov,
  author = {{Utpal Bora, Shraiysh Vaishay, Saurabh Joshi, Ramakrishna Upadrasta}},
  booktitle = {2021 IEEE/ACM 7th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)},
  title = {OpenMP aware MHP Analysis for Improved Static Data-Race Detection},
  year = {2021},
  pages = {1-11},
  keywords = {Productivity;Measurement;Concurrent computing;Runtime;Program processors;Conferences;Computer bugs;Data Races;OpenMP;Program Analysis;Static Analysis;MHP;Phase Interval Analysis;LLVM},
  doi = {10.1109/LLVMHPC54804.2021.00006},
  url = {https://ieeexplore.ieee.org/document/9651305},
}

@article{Tavarageri-2021-polyAI,
  author = {{Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta}},
  title = {{AI} Powered Compiler Techniques for {DL} Code Optimization},
  journal = {CoRR},
  volume = {abs/2104.05573},
  year = {2021},
  url = {https://arxiv.org/abs/2104.05573},
  eprinttype = {arXiv},
  eprint = {2104.05573},
  timestamp = {Mon, 19 Apr 2021 16:45:47 +0200},
  biburl = {https://dblp.org/rec/journals/corr/abs-2104-05573.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org},
}

@article{Tavarageri-2021-polydl,
  author = {{Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul}},
  title = {PolyDL: Polyhedral Optimizations for Creation of High-Performance DL Primitives},
  year = {2021},
  issue_date = {March 2021},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {18},
  number = {1},
  issn = {1544-3566},
  url = {https://doi.org/10.1145/3433103},
  doi = {10.1145/3433103},
  journal = {ACM Trans. Archit. Code Optim.},
  month = jan,
  articleno = {11},
  numpages = {27},
  keywords = {loop optimization, microkernels, data reuse, machine learning, Polyhedral compilation},
}

@article{VenkataKeerthy-2020-IR2Vec,
  author = {{S. VenkataKeerthy, Rohit Aggarwal, Shalini Jain, Maunendra Desarkar, Ramakrishna Upadrasta and Y. N. Srikant}},
  title = {IR2VEC: LLVM IR Based Scalable Program Embeddings},
  year = {2020},
  issue_date = {December 2020},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {17},
  number = {4},
  issn = {1544-3566},
  url = {https://doi.org/10.1145/3418463},
  doi = {10.1145/3418463},
  journal = {ACM Trans. Archit. Code Optim.},
  month = dec,
  articleno = {32},
  numpages = {27},
  keywords = {heterogeneous systems, LLVM, intermediate representations, representation learning, compiler optimizations},
}

@article{Bora-2020-LLOV,
  author = {{Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta, Sanjay Rajopadhye}},
  title = {LLOV: A Fast Static Data-Race Checker for OpenMP Programs},
  year = {2020},
  issue_date = {December 2020},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  volume = {17},
  number = {4},
  issn = {1544-3566},
  url = {https://doi.org/10.1145/3418597},
  doi = {10.1145/3418597},
  journal = {ACM Trans. Archit. Code Optim.},
  month = dec,
  articleno = {35},
  numpages = {26},
  keywords = {data race detection, OpenMP, program verification, polyhedral compilation, static analysis, shared memory programming},
}

@inproceedings{Akash-2020-bpi_improvements,
  author = {{Akash Banerjee, Rohit Aggarwal, S. VenkataKeerthy, Ramakrishna Upadrasta}},
  title = {Some Improvements to Branch Probability Information (BPI)},
  year = {2020},
  booktitle = {2023 European LLVM Developers' Meeting}
}

@article{Shalini-2019-executable_size_reduction,
  author = {{Shalini Jain, Utpal Bora, Prateek Kumar, Vaibhav B Sinha, Suresh Purini and Ramakrishna Upadrasta}},
  title = {An analysis of executable size reduction by LLVM passes},
  year = {2019},
  issn = { 2277-9086 },
  issue-date = { June 2019 },
  doi = { 10.1007/s40012-019-00248-5 },
  url = { https://link.springer.com/article/10.1007/s40012-019-00248-5 },
  pages = { 105–110 },
  keywords = { Compilers, Compiler optimizations, Code size optimizations },
  journal = {CSI Transactions on ICT}
}

@inproceedings{Patwardhan-2019-automatic_cache_exploitation,
  author = {{Abhishek A. Patwardhan, Ramakrishna Upadrasta}},
  booktitle = {2019 International Conference on High Performance Computing & Simulation (HPCS)},
  title = {Polyhedral Model Guided Automatic GPU Cache Exploitation Framework},
  year = {2019},
  pages = {496-503},
  keywords = {Graphics processing units;Kernel;Surface texture;Arrays;Computational modeling;Acceleration;GPU memory hierarchy;Polyhedral Model},
  doi = {10.1109/HPCS48598.2019.9188095},
  url = {https://ieeexplore.ieee.org/document/9188095},
}

@inproceedings{Patwardhan-2019-tightest_utvpi_over-approximation,
  author = {Abhishek A. Patwardhan, Upadrasta Ramakrishna},
  title = {Some Efficient Algorithms for the Tightest UTVPI Polyhedral Over-Approximation Problem},
  year = {2019},
  month = jan,
  url = {https://acohen.gitlabpages.inria.fr/impact/impact2019/papers/IMPACT_2019_paper_2.pdf},
  booktitle = {IMPACT Conference (2019)}
}

@inproceedings{Dangeti-2018-p4llvm,
  author = {{Tharun Kumar Dangeti, S. VenkataKeerthy, Ramakrishna Upadrasta}},
  booktitle = {2018 IEEE 26th International Conference on Network Protocols (ICNP)},
  title = {P4LLVM: An LLVM Based P4 Compiler},
  year = {2018},
  pages = {424-429},
  keywords = {Optimization;Switches;Program processors;Computer architecture;Metadata;Computer languages;LLVM, Compilers, P4, SDN, Optimizations},
  doi = {10.1109/ICNP.2018.00059},
  url = {https://ieeexplore.ieee.org/document/8526847},
}

@inproceedings{Malhar-2018-isl_memory_management,
  author = {{ Malhar Thakkar, Ramakrishna Upadrasta }},
  title = {ISL Memory Management Using Clang Static Analyzer},
  year = {2018},
  booktitle = {2018 US LLVM Developers' Meeting}
}

@inproceedings{Shalini-2017-loop_profiler,
  author = {{Shalini Jain, Kamlesh Kumar, Suresh Purini, Dibyendu Das, Ramakrishna Upadrasta}},
  title = {An LLVM based Loop Profiler},
  year = {2017},
  booktitle = {2017 US LLVM Developers' Meeting}
}

@inproceedings{Hrishikesh-2017-optimizing_dl_kernels,
  author = {{Hrishikesh Vaidya, Akilesh B, Abhishek A Patwardhan, Ramakrishna Upadrasta}},
  title = {When Polyhedral Optimizations Meet Deep Learning Kernels},
  year = {2017},
  issue-date = {Dec 2017},
  url = {https://www.researchgate.net/publication/332542886_When_Polyhedral_Optimizations_Meet_Deep_Learning_Kernels},
  booktitle = {24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017)}
}

@inproceedings{Annanay-2017-polly_tensorflow,
  author = {{Annanay Agarwal, Michael Kruse, Brian Retford, Tobias Grosser, Ramakrishna Upadrasta}},
  title = {Enabling Polyhedral optimizations in TensorFlow through Polly},
  year = {2017},
  booktitle = {2017 LLVM Developers’ Meeting}
}

@inproceedings{Tharun-2017-loop_distribution_improvement,
  author = {{Tharun Kumar Dangeti, Utpal Bora, Santanu Das, Tobias Grosser , Ramakrishna Upadrasta}},
  title = {Improved Loop Distribution in LLVM using Polyhedral Dependences},
  year = {2017},
  booktitle = {LLVM-HPC2017: The Fourth Workshop on the LLVM Compiler Infrastructure in HPC}
}

@inproceedings{Keyur-2017-cache_miss_calc,
  author = {{Keyur Joshi, Ramakrishna Upadrasta, Albert Cohen}},
  title = { Implementation of a Cache Miss Calculator in LLVM/Polly },
  year = {2017},
  booktitle = {LLVM-HPC2017: The Fourth Workshop on the LLVM Compiler Infrastructure in HPC}
}

@inproceedings{Abhishek-2016-texturizing_ppcg,
  author = {Abhishek A Patwardhan, Ramakrishna Upadrasta},
  title = {Texturizing PPCG: Supporting Texture Memory in a Polyhedral Compiler},
  year = {2016},
  url = { https://www.researchgate.net/publication/334597546_Polyhedral_Compilation_Applications_Approximations_and_GPU-specific_Optimizations_Best_MTech_thesis_Award_by_AMD_India_PVT_LTD },
  booktitle = {23rd IEEE International Conference on High Performance Computing, Data, and Analytics}
}

@inproceedings{Santanu-2016-vectorization,
  author = {{Santanu Das, D. Tharun Kumar, Utpal Bora, Ramakrishna Upadrasta}},
  title = {A Comparative Study of Vectorization in Compilers},
  year = {2016},
  booktitle = {23rd IEEE International Conference on High Performance Computing, Data, and Analytics}
}

@inproceedings{Uptal-2016-analysis_pass-polly,
  author = {{Utpal Bora, Johannes Doerfert, Tobias Grosser, Venugopal Raghavan, Ramakrishna Upadrasta}},
  title = { Polly as an Analysis pass in LLVM },
  year = {2016},
  booktitle = {2016 LLVM Developers’ Meeting}
}

@inproceedings{Nandini-2016-comp_complexity,
  author = {{Nandini Singhal, Pratik Bhatu, Aditya Kumar, Tobias Grosser, Ramakrishna Upadrasta}},
  title = {Reducing the Computational Complexity of RegionInfo},
  year = {2016},
  booktitle = {2016 LLVM Developers’ Meeting}
}