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, ...
872010
Sub-polyhedral scheduling using (unit-) two-variable-per-inequality polyhedra
R Upadrasta, A Cohen
Acm Sigplan Notices 48 (1), 483-496, 2013
292013
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
182005
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
112005
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
52012
Potential and Challenges of Two-Variable-Per-Inequality Sub-Polyhedral Compilation
R Upadrasta, A Cohen
First International Workshop on Polyhedral Compilation Techniques (IMPACT’11 …, 2011
42011
Sub-Polyhedral Compilation using (Unit-) Two-Variables-Per-Inequality Polyhedra
R Upadrasta
Paris 11, 2013
22013
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
22012
Graphite two years after
K Trifunovic, A Cohen, D Edelsohn, L Feng, T Grosser, H Jagasia, ...
GCC Research Opportunities Workshop (GROW), 2010
22010
Improved loop distribution in LLVM using polyhedral dependences
TK Dangeti, U Borah, S Das, T Grosser, R Upadrasta
12017
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
2020
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
2019
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
R Aggarwal, S Jain, MS Desarkar, R Upadrasta, YN Srikant
arXiv preprint arXiv:1909.06228, 2019
2019
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
V Keerthy S, R Aggarwal, S Jain, M Sankar Desarkar, R Upadrasta, ...
arXiv preprint arXiv:1909.06228, 2019
2019
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
2019
IR2Vec: A Flow Analysis based Scalable Infrastructure for Program Encodings
MS Desarkar, R Upadrasta
arXiv. org, 2019
2019
A Loop-level Analysis and Optimal Sub-sequence Mining
R Utkoor, R Upadrasta
Indian institute of technology Hyderabad, 2019
2019
GPU-Based Multi-Level Parallelization for Hines Solver and Some Related Problems
PK Gayatri, R Upadrasta
Indian institute of technology Hyderabad, 2019
2019
When Polyhedral Optimizations Meet Deep Learning Kernels
H Vaidya, A Badrinaaraayanan, AA Patwardhan, R Upadrasta
2019
Some Efficient Algorithms for the Tightest UTVPI Polyhedral Over-Approximation Problem
AA Patwardhan, R Upadrasta
2019
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