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Number of items: 21.

Jain, Shalini and Andaluri, Yashas and VenkataKeerthy, S. and Upadrasta, Ramakrishna (2022) POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2022, 22 May 2022 through 24 May 2022, Singapore.

Bora, Utpal and Vaishay, Shraiysh and Joshi, Saurabh and Upadrasta, Ramakrishna (2021) OpenMP aware MHP Analysis for Improved Static Data-Race Detection. In: 7th IEEE/ACM Annual Workshop on the LLVM Compiler Infrastructure in HPC, LLVM-HPC 2021, St. Louis.

Tavarageri, Sanket and Heinecke, Alexander and Avancha, Sasikanth and Kaul, Bharat and Goyal, Gagandeep and Upadrasta, Ramakrishna (2021) PolyDL : Polyhedral Optimizations for Creation of High-performance DL Primitives. ACM Transactions on Architecture and Code Optimization, 18 (1). pp. 1-27. ISSN 1544-3566

VenkataKeerthy, S. and Aggarwal, Rohit and Jain, Shalini and Desarkar, Maunendra Sankar and Upadrasta, Ramakrishna and Srikant, Y. N. (2020) IR2V EC : LLVM IR Based Scalable Program Embeddings. ACM Transactions on Architecture and Code Optimization, 17 (4). pp. 1-27. ISSN 1544-3566

Bora, Utpal and Das, Santanu and Kukreja, Pankaj and Joshi, Saurabh and Upadrasta, Ramakrishna and Rajopadhye, Sanjay (2020) LLOV:A Fast Static Data-Race Checker for OpenMP Programs. ACM Transactions on Architecture and Code Optimization, 17 (4). pp. 1-26. ISSN 1544-3566

Tavarageri, Sanket and Goyal, Gagandeep and Upadrasta, Ramakrishna and et al, . (2020) PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. arXiv.org.

Gayatri, P K and Upadrasta, Ramakrishna (2019) GPU-Based Multi-Level Parallelization for Hines Solver and Some Related Problems. Masters thesis, Indian institute of technology Hyderabad.

S, Venkata Keerthy and Desarkar, Maunendra Sankar and Upadrasta, Ramakrishna and et al, . (2019) IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. arXiv.org.

Bora, Utpal and Das, Santanu and Upadrasta, Ramakrishna and et al, . (2019) LLOV: A Fast Static Data-Race Checker for OpenMP Programs. arXiv.org.

Utkoor, Rahul and Upadrasta, Ramakrishna (2019) A Loop-level Analysis and Optimal Sub-sequence Mining. Masters thesis, Indian institute of technology Hyderabad.

Patwardhan, Abhishek A and Upadrasta, Ramakrishna (2019) Some Efficient Algorithms for the Tightest UTVPI Polyhedral Over-Approximation Problem. In: 9th International Workshop on Polyhedral Compilation Techniques, 21-23 January, 2019, Spain.

Jain, Shalini and Borah, Utpal and Kumar, Prateek and Sinha, Vaibhav B and Purini, Suresh and Upadrasta, Ramakrishna (2019) An analysis of executable size reduction by LLVM passes. CSI Transactions on ICT. pp. 1-6. ISSN 2277-9078

Subramaniam, Anirudh Sundar and Upadrasta, Ramakrishna (2018) Optimization and parallelization of tensor and ODE/PDE computations on GPU. Masters thesis, Indian Institute of Technology Hyderabad.

Das, Santanu and Upadrasta, Ramakrishna (2018) Optimizations In Compiler: Vectorization, Reordering, Register Allocation And Verification Of Explicitly Parallel Programs. Masters thesis, Indian Institute of Technology Hyderabad.

Dangeti, Tharun Kumar and Keerthy S, Venkata and Upadrasta, Ramakrishna (2018) P4LLVM: An LLVM Based P4 Compiler. In: IEEE 26th International Conference on Network Protocols (ICNP), 25-27 September 2018, Cambridge, UK.

Patwardhan, Abhishek A and Upadrasta, Ramakrishna (2018) Polyhedral Compilation: Applications, Approximations and GPU-specific Optimizations. Masters thesis, Indian Institute of Technology Hyderabad.

Kumar, Dangeti Tharun and Upadrasta, Ramakrishna (2018) Vectorization, Obfuscation and P4 LLVM Tool-chain. Masters thesis, Indian Institute of Technology Hyderabad.

Joshi, Keyur and Upadrasta, Ramakrishna and Cohen, Albert (2017) Implementation of a Cache Miss Calculator in LLVM/Polly. In: The Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 13 November 2017, Denver, Colorado, USA.

Dangeti, Tharun Kumar and Borah, Utpal and Das, Santanu and Grosser, Tobias and Upadrasta, Ramakrishna (2017) Improved Loop Distribution in LLVM using Polyhedral Dependences. In: The Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 13 November 2017, Denver, Colorado, USA.

Bhatu, Pratik and Upadrasta, Ramakrishna (2017) A Study of Software Prefetching in LLVM. Masters thesis, Indian Insitute of Technology Hyderabad.

Patwardhan, Abhishek A and Upadrasta, Ramakrishna (2016) Texturizing PPCG: Supporting Texture Memory in a Polyhedral Compiler. In: 23rd IEEE International Conference on High Performance Computing, Data, and Analytics, 19-22 December 2016, Hyderabad.

This list was generated on Wed Dec 25 23:29:43 2024 IST.