Ramakrishna Upadrasta

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Venues

CoRR

ACM Trans. Archit. Code Optim.

LLVM-HPC@SC

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

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)
S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Soumya Banerjee, Ramakrishna Upadrasta
VEXIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity. CoRR (2023)
S. VenkataKeerthy, Siddharth Jain, Anilava Kundu, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta
RL4ReAl: Reinforcement Learning for Register Allocation. CC (2023)
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 (2023)
Nilesh Rajendra Shah, Ashitabh Misra, Antoine Miné, Rakesh Venkat, Ramakrishna Upadrasta
BullsEye : Scalable and Accurate Approximation Framework for Cache Miss Calculation. ACM Trans. Archit. Code Optim. 20 (1) (2023)
S. VenkataKeerthy, Siddharth Jain, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta
RL4ReAl: Reinforcement Learning for Register Allocation. CoRR (2022)
S. VenkataKeerthy, Yashas Andaluri, Sayan Dey, Rinku Shah, Praveen Tammana, Ramakrishna Upadrasta
Packet Processing Algorithm Identification using Program Embeddings. APNet (2022)
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)
Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. CoRR (2022)
Shalini Jain, Rahul Utkoor, Hemalatha Eedi, Sathya Peri, Ramakrishna Upadrasta
FUSED-PAGERANK: Loop-Fusion based Approximate PageRank. CoRR (2022)
Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. ISPASS (2022)
Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Bharat Kaul, Gagandeep Goyal, Ramakrishna Upadrasta
PolyDL: Polyhedral Optimizations for Creation of High-performance DL Primitives. ACM Trans. Archit. Code Optim. 18 (1) (2021)
Utpal Bora, Shraiysh Vaishay, Saurabh Joshi, Ramakrishna Upadrasta
OpenMP aware MHP Analysis for Improved Static Data-Race Detection. LLVM-HPC@SC (2021)
Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta
AI Powered Compiler Techniques for DL Code Optimization. CoRR (2021)
Utpal Bora, Shraiysh Vaishay, Saurabh Joshi, Ramakrishna Upadrasta
OpenMP aware MHP Analysis for Improved Static Data-Race Detection. CoRR (2021)
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) (2020)
Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. CoRR (2020)
Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives. CoRR (2020)
Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta, Sanjay Rajopadhye
LLOV: A Fast Static Data-Race Checker for OpenMP Programs. ACM Trans. Archit. Code Optim. 17 (4) (2020)
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 (2019)
Abhishek A. Patwardhan, Ramakrishna Upadrasta
Polyhedral Model Guided Automatic GPU Cache Exploitation Framework. HPCS (2019)
Utpal Bora, Santanu Das, Pankaj Kureja, Saurabh Joshi, Ramakrishna Upadrasta, Sanjay V. Rajopadhye
LLOV: A Fast Static Data-Race Checker for OpenMP Programs. CoRR (2019)
Tharun Kumar Dangeti, Venkata Keerthy S, Ramakrishna Upadrasta
P4LLVM: An LLVM Based P4 Compiler. ICNP (2018)
Ramakrishna Upadrasta, Albert Cohen
Sub-polyhedral scheduling using (unit-)two-variable-per-inequality polyhedra. POPL (2013)
Dibyendu Das, Benoît Dupont de Dinechin, Ramakrishna Upadrasta
Efficient liveness computation using merge sets and DJ-graphs. ACM Trans. Archit. Code Optim. 8 (4) (2012)

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Publication Activity (10 Years)

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Ramakrishna Upadrasta