S. VenkataKeerthy

13 papers B 3Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Yaksha-Prashna: Understanding eBPF Bytecode Network Function Behavior.
CoRR
Animesh Singh, K. Shiv Kumar, S. VenkataKeerthy, Pragna Mamidipaka, R. V. B. R. N. Aaseesh, Sayandeep Sen, Palanivel A. Kodeswaran, Theophilus A. Benson, Ramakrishna Upadrasta, Praveen Tammana
2025 J jnl
COFO: COdeFOrces dataset for Program Classification, Recognition and Tagging.
CoRR
Kuldeep Gautam, S. VenkataKeerthy, Ramakrishna Upadrasta
2025 J jnl
VexIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity.
ACM Trans. Softw. Eng. Methodol.
S. VenkataKeerthy, Soumya Banerjee, Sayan Dey, Yashas Andaluri, Raghul P. S., Subrahmanyam Kalyanasundaram, Fernando Magno Quintão Pereira, Ramakrishna Upadrasta
2024 B conf
The Next 700 ML-Enabled Compiler Optimizations.
CC
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
2023 B conf
RL4ReAl: Reinforcement Learning for Register Allocation.
CC
S. VenkataKeerthy, Siddharth Jain, Anilava Kundu, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta
2023 J jnl
The Next 700 ML-Enabled Compiler Optimizations.
CoRR
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
2023 J jnl
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity.
CoRR
S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Soumya Banerjee, Ramakrishna Upadrasta
2022 B conf
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning.
ISPASS
Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta
2022 J jnl
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning.
CoRR
Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta
2022 — conf
Packet Processing Algorithm Identification using Program Embeddings.
APNet
S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Rinku Shah, Praveen Tammana, Ramakrishna Upadrasta
2022 J jnl
RL4ReAl: Reinforcement Learning for Register Allocation.
CoRR
S. VenkataKeerthy, Siddharth Jain, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta
2022 — conf
Reinforcement Learning assisted Loop Distribution for Locality and Vectorization.
LLVM-HPC@SC
Shalini Jain, S. VenkataKeerthy, Rohit Aggarwal, Tharun Kumar Dangeti, Dibyendu Das, Ramakrishna Upadrasta
2020 J jnl
IR2VEC: LLVM IR Based Scalable Program Embeddings.
ACM Trans. Archit. Code Optim.
S. VenkataKeerthy, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta, Y. N. Srikant