Ramakrishna Upadrasta
Ramakrishna Upadrasta
Asst. Professor, Dept. of Computer Science and Engg, IIT Hyderabad, India
Verified email at iith.ac.in - Homepage
Title
Cited by
Cited by
Year
Graphite two years after: First lessons learned from real-world polyhedral compilation
K Trifunovic, A Cohen, D Edelsohn, F Li, T Grosser, H Jagasia, ...
GCC Research Opportunities Workshop (GROW'10), 2010
1012010
Sub-polyhedral scheduling using (unit-) two-variable-per-inequality polyhedra
R Upadrasta, A Cohen
Acm Sigplan Notices 48 (1), 483-496, 2013
372013
A practical and fast iterative algorithm for φ-function computation using DJ graphs
D Das, U Ramakrishna
ACM Transactions on Programming Languages and Systems (TOPLAS) 27 (3), 426-440, 2005
172005
Combined ILP and register tiling: analytical model and optimization framework
L Renganarayana, U Ramakrishna, S Rajopadhye
International Workshop on Languages and Compilers for Parallel Computing …, 2005
132005
A case for strongly polynomial time sub-polyhedral scheduling using two-variable-per-inequality polyhedra
R Upadrasta, A Cohen
Second International Workshop on Polyhedral Compilation Techniques (IMPACT …, 2012
72012
PolyDL: Polyhedral Optimizations for Creation of High-performance DL Primitives
S Tavarageri, A Heinecke, S Avancha, B Kaul, G Goyal, R Upadrasta
ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-27, 2021
42021
Llov: a fast static data-race checker for OpenMP programs
U Bora, S Das, P Kureja, S Joshi, R Upadrasta, S Rajopadhye
arXiv preprint arXiv:1912.12189, 2019
42019
Potential and Challenges of Two-Variable-Per-Inequality Sub-Polyhedral Compilation
R Upadrasta, A Cohen
IMPACT 2011 First International Workshop on Polyhedral Compilation Techniques, 2011
42011
Ir2vec: A flow analysis based scalable infrastructure for program encodings
R Aggarwal, S Jain, MS Desarkar, R Upadrasta, Y Srikant
arXiv preprint arXiv:1909.06228, 2019
3*2019
P4llvm: An llvm based p4 compiler
TK Dangeti, R Upadrasta
2018 IEEE 26th International Conference on Network Protocols (ICNP), 424-429, 2018
32018
Efficient liveness computation using merge sets and DJ-graphs
D Das, B Dupont De Dinechin, R Upadrasta
ACM Transactions on Architecture and Code Optimization (TACO) 8 (4), 1-18, 2012
32012
Graphite two years after
K Trifunovic, A Cohen, D Edelsohn, L Feng, T Grosser, H Jagasia, ...
GCC Research Opportunities Workshop (GROW), 2010
32010
IR2VEC LLVM IR Based Scalable Program Embeddings
S VenkataKeerthy, R Aggarwal, S Jain, MS Desarkar, R Upadrasta, ...
ACM Transactions on Architecture and Code Optimization (TACO) 17 (4), 1-27, 2020
22020
Optimization and parallelization of tensor and ODE/PDE computations on GPU
AS Subramaniam, R Upadrasta
Indian Institute of Technology Hyderabad, 2018
22018
Sub-Polyhedral Compilation using (Unit-) Two-Variables-Per-Inequality Polyhedra
R Upadrasta
Paris 11, 2013
22013
Polyscientist: Automatic loop transformations combined with microkernels for optimization of deep learning primitives
S Tavarageri, A Heinecke, S Avancha, G Goyal, R Upadrasta, B Kaul
arXiv preprint arXiv:2002.02145, 2020
12020
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
V Keerthy S, R Aggarwal, S Jain, M Sankar Desarkar, R Upadrasta, ...
arXiv, arXiv: 1909.06228, 2019
12019
An analysis of executable size reduction by LLVM passes
S Jain, U Bora, P Kumar, VB Sinha, S Purini, R Upadrasta
CSI Transactions on ICT 7 (2), 105-110, 2019
12019
Improved loop distribution in LLVM using polyhedral dependences
TK Dangeti, U Borah, S Das, T Grosser, R Upadrasta
12017
AI Powered Compiler Techniques for DL Code Optimization
S Tavarageri, G Goyal, S Avancha, B Kaul, R Upadrasta
arXiv preprint arXiv:2104.05573, 2021
2021
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