21 citations · 36 across the 6 of their papers we have counts for
6 papers
Yaksha-Prashna: Understanding eBPF Bytecode Network Function Behavior
Animesh Singh, K Shiv Kumar, S. VenkataKeerthy +7
Many cloud infrastructure organizations increasingly rely on third-party eBPF-based network functions for use cases like security, observability, and load balancing, so that not ev…
COFO: COdeFOrces dataset for Program Classification, Recognition and Tagging
Kuldeep Gautam, S. VenkataKeerthy, Ramakrishna Upadrasta
In recent years, a lot of technological advances in computer science have aided software programmers to create innovative and real-time user-friendly software. With the creation of…
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity
S. VenkataKeerthy, Soumya Banerjee, Sayan Dey +5
Binary similarity involves determining whether two binary programs exhibit similar functionality, often originating from the same source code. In this work, we propose VexIR2Vec, a…
The Next 700 ML-Enabled Compiler Optimizations
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla +6
There is a growing interest in enhancing compiler optimizations with ML models, yet interactions between compilers and ML frameworks remain challenging. Some optimizations require…
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning
Shalini Jain, Yashas Andaluri, S. VenkataKeerthy +1
The ever increasing memory requirements of several applications has led to increased demands which might not be met by embedded devices. Constraining the usage of memory in such ca…
RL4ReAl: Reinforcement Learning for Register Allocation
S. VenkataKeerthy, Siddharth Jain, Anilava Kundu +3
We aim to automate decades of research and experience in register allocation, leveraging machine learning. We tackle this problem by embedding a multi-agent reinforcement learning…