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Ramakrishna Upadrasta
Person information
- affiliation: Indian Institute of Technology Hyderabad, Department of Computer Science & Engineering, India
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2020 – today
- 2024
- [c10]S. VenkataKeerthy
, Siddharth Jain
The Next 700 ML-Enabled Compiler Optimizations. CC 2024: 238-249 - 2023
- [j7]Nilesh Rajendra Shah
BullsEye : Scalable and Accurate Approximation Framework for Cache Miss Calculation. ACM Trans. Archit. Code Optim. 20(1): 2:1-2:28 (2023) - [c9]S. VenkataKeerthy, Siddharth Jain
RL4ReAl: Reinforcement Learning for Register Allocation. CC 2023: 133-144 - [i11]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) - [i10]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
- [c8]S. VenkataKeerthy
Packet Processing Algorithm Identification using Program Embeddings. APNet 2022: 76-82 - [c7]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 - [c6]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 - [p1]Dibyendu Das, Ramakrishna Upadrasta, Vugranam C. Sreedhar:
Advanced Construction Algorithms for SSA. SSA-based Compiler Design 2022: 41-53 - [i9]Shalini Jain, Rahul Utkoor, Hemalatha Eedi, Sathya Peri, Ramakrishna Upadrasta:
FUSED-PAGERANK: Loop-Fusion based Approximate PageRank. CoRR abs/2203.09284 (2022) - [i8]S. VenkataKeerthy, Siddharth Jain, Rohit Aggarwal, Albert Cohen, Ramakrishna Upadrasta:
RL4ReAl: Reinforcement Learning for Register Allocation. CoRR abs/2204.02013 (2022) - [i7]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) - 2021
- [j6]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): 11:1-11:27 (2021) - [c5]Utpal Bora
OpenMP aware MHP Analysis for Improved Static Data-Race Detection. LLVM-HPC@SC 2021: 1-11 - [i6]Sanket Tavarageri, Gagandeep Goyal, Sasikanth Avancha, Bharat Kaul, Ramakrishna Upadrasta:
AI Powered Compiler Techniques for DL Code Optimization. CoRR abs/2104.05573 (2021) - [i5]Utpal Bora, Shraiysh Vaishay, Saurabh Joshi, Ramakrishna Upadrasta:
OpenMP aware MHP Analysis for Improved Static Data-Race Detection. CoRR abs/2111.04259 (2021) - 2020
- [j5]S. VenkataKeerthy
IR2VEC: LLVM IR Based Scalable Program Embeddings. ACM Trans. Archit. Code Optim. 17(4): 32:1-32:27 (2020) - [j4]Utpal Bora
LLOV: A Fast Static Data-Race Checker for OpenMP Programs. ACM Trans. Archit. Code Optim. 17(4): 35:1-35:26 (2020) - [i4]Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives. CoRR abs/2002.02145 (2020) - [i3]Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Gagandeep Goyal, Ramakrishna Upadrasta, Bharat Kaul:
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives. CoRR abs/2006.02230 (2020)
2010 – 2019
- 2019
- [c4]Abhishek A. Patwardhan, Ramakrishna Upadrasta:
Polyhedral Model Guided Automatic GPU Cache Exploitation Framework. HPCS 2019: 496-503 - [i2]Venkata Keerthy S, Rohit Aggarwal, Shalini Jain, Maunendra Sankar Desarkar, Ramakrishna Upadrasta
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings. CoRR abs/1909.06228 (2019) - [i1]Utpal Bora, Santanu Das, Pankaj Kukreja, Saurabh Joshi, Ramakrishna Upadrasta
LLOV: A Fast Static Data-Race Checker for OpenMP Programs. CoRR abs/1912.12189 (2019) - 2018
- [c3]Tharun Kumar Dangeti, Venkata Keerthy S
P4LLVM: An LLVM Based P4 Compiler. ICNP 2018: 424-429 - 2013
- [b1]Ramakrishna Upadrasta:
Sub-Polyhedral Compilation using (Unit-)Two-Variables-Per-Inequality Polyhedra. (Compilation sous-polyédrique reposant sur des systèmes à deux variables par inégalité). University of Paris-Sud, Orsay, France, 2013 - [c2]Ramakrishna Upadrasta
Sub-polyhedral scheduling using (unit-)two-variable-per-inequality polyhedra. POPL 2013: 483-496 - 2012
- [j3]Dibyendu Das, Benoît Dupont de Dinechin, Ramakrishna Upadrasta
Efficient liveness computation using merge sets and DJ-graphs. ACM Trans. Archit. Code Optim. 8(4): 27:1-27:18 (2012)
2000 – 2009
- 2005
- [j2]Dibyendu Das, U. Ramakrishna
A practical and fast iterative algorithm for phi-function computation using DJ graphs. ACM Trans. Program. Lang. Syst. 27(3): 426-440 (2005) - [c1]Lakshminarayanan Renganarayanan, U. Ramakrishna
Combined ILP and Register Tiling: Analytical Model and Optimization Framework. LCPC 2005: 244-258 - 2000
- [j1]Maya Madhavan, Priti Shankar, Siddhartha Rai, U. Ramakrishna
Extending Graham-Glanville techniques for optimal code generation. ACM Trans. Program. Lang. Syst. 22(6): 973-1001 (2000)
Coauthor Index
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