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ORCIDS. VenkataKeerthy
Person information
- affiliation: Indian Institute of Technology Hyderabad, India
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Journal Articles
- 2020
[j2]S. VenkataKeerthy
, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant:
IR2VEC: LLVM IR Based Scalable Program Embeddings. ACM Trans. Archit. Code Optim. 17(4): 32:1-32:27 (2020)- 2019
- [j1]Karthikeyan Balasubramanian, Venkata Keerthy S, G. Hariharan:
Secure Gray code-based reversible data hiding scheme in radiographic images. Int. J. Electron. Secur. Digit. Forensics 11(3): 347-362 (2019)
Conference and Workshop Papers
- 2024
- [c7]S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta:
The Next 700 ML-Enabled Compiler Optimizations. CC 2024: 238-249 - 2023
- [c6]S. VenkataKeerthy, Siddharth Jain, Anilava Kundu, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta:
RL4ReAl: Reinforcement Learning for Register Allocation. CC 2023: 133-144 - 2022
- [c5]S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Rinku Shah, Praveen Tammana, Ramakrishna Upadrasta:
Packet Processing Algorithm Identification using Program Embeddings. APNet 2022: 76-82 - [c4]Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta:
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. ISPASS 2022: 121-131 - [c3]Shalini Jain, S. VenkataKeerthy, Rohit Aggarwal, Tharun Kumar Dangeti, Dibyendu Das, Ramakrishna Upadrasta:
Reinforcement Learning assisted Loop Distribution for Locality and Vectorization. LLVM-HPC@SC 2022: 1-12 - 2018
- [c2]Tharun Kumar Dangeti, Venkata Keerthy S, Ramakrishna Upadrasta:
P4LLVM: An LLVM Based P4 Compiler. ICNP 2018: 424-429 - [c1]Mohd. Saalim Jamal, Venkata Keerthy S, Hideya Ochiai, Hiroshi Esaki, Kotaro Kataoka:
INSTRUCT: A Clustering Based Identification of Valid Communications in IoT Networks. IoTSMS 2018: 228-233
Informal and Other Publications
- 2023
- [i5]S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta:
The Next 700 ML-Enabled Compiler Optimizations. CoRR abs/2311.10800 (2023) - [i4]S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Soumya Banerjee, Ramakrishna Upadrasta:
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity. CoRR abs/2312.00507 (2023) - 2022
- [i3]S. VenkataKeerthy, Siddharth Jain, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta:
RL4ReAl: Reinforcement Learning for Register Allocation. CoRR abs/2204.02013 (2022) - [i2]Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta:
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. CoRR abs/2208.04238 (2022) - 2019
- [i1]Venkata Keerthy S, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant:
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. CoRR abs/1909.06228 (2019)
Coauthor Index
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