Roshan Dathathri
Roshan Dathathri
Senior Software Engineer, Katana Graph
Verified email at katanagraph.com - Homepage
Title
Cited by
Cited by
Year
Gluon: A Communication-Optimizing Substrate for Distributed Heterogeneous Graph Analytics
R Dathathri, G Gill, L Hoang, HV Dang, A Brooks, N Dryden, M Snir, ...
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
922018
CHET: An Optimizing Compiler for Fully-Homomorphic Neural-Network Inferencing
R Dathathri, O Saarikivi, H Chen, K Laine, K Lauter, S Maleki, ...
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019
75*2019
Generating efficient data movement code for heterogeneous architectures with distributed-memory
R Dathathri, C Reddy, T Ramashekar, U Bondhugula
Parallel Architectures and Compilation Techniques (PACT), 2013 22nd …, 2013
562013
Single machine graph analytics on massive datasets using Intel optane DC persistent memory
G Gill, R Dathathri, L Hoang, R Peri, K Pingali
Proceedings of the VLDB Endowment 13 (8), 1304-1318, 2020
482020
Distributed memory code generation for mixed Irregular/Regular computations
M Ravishankar, R Dathathri, V Elango, LN Pouchet, J Ramanujam, ...
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015
352015
Abelian: A Compiler for Graph Analytics on Distributed, Heterogeneous Platforms
G Gill, R Dathathri, L Hoang, A Lenharth, K Pingali
European Conference on Parallel Processing, 249-264, 2018
282018
A round-efficient distributed betweenness centrality algorithm
L Hoang, M Pontecorvi, R Dathathri, G Gill, B You, K Pingali, ...
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
242019
EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation
R Dathathri, B Kostova, O Saarikivi, W Dai, K Laine, M Musuvathi
Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020
212020
A Lightweight Communication Runtime for Distributed Graph Analytics
HV Dang, R Dathathri, G Gill, A Brooks, N Dryden, A Lenharth, L Hoang, ...
International Parallel and Distributed Processing Symposium (IPDPS), 2018
212018
Compiling Affine Loop Nests for a Dynamic Scheduling Runtime on Shared and Distributed Memory
R Dathathri, RT Mullapudi, U Bondhugula
ACM Transactions on Parallel Computing (TOPC), 2016
202016
Pangolin: An Efficient and Flexible Graph Pattern Mining System on CPU and GPU
X Chen, R Dathathri, G Gill, K Pingali
Proceedings of the VLDB Endowment 13 (8), 1190-1205, 2020
192020
A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms
G Gill, R Dathathri, L Hoang, K Pingali
Proceedings of the VLDB Endowment 12 (4), 321-334, 2018
192018
Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics
R Dathathri, G Gill, L Hoang, V Jatala, K Pingali, VK Nandivada, HV Dang, ...
2019 28th International Conference on Parallel Architectures and Compilation …, 2019
172019
CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics
L Hoang, R Dathathri, G Gill, K Pingali
2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019
162019
DistTC: High Performance Distributed Triangle Counting
L Hoang, V Jatala, X Chen, U Agarwal, R Dathathri, G Gill, K Pingali
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
142019
Phoenix: A Substrate for Resilient Distributed Graph Analytics
R Dathathri, G Gill, L Hoang, K Pingali
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
112019
Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite
A Azad, MM Aznaveh, S Beamer, M Blanco, J Chen, L D'Alessandro, ...
2020 IEEE International Symposium on Workload Characterization (IISWC), 216-227, 2020
82020
A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs
V Jatala, R Dathathri, G Gill, L Hoang, VK Nandivada, K Pingali
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
82020
Sandpiper: Scaling probabilistic inferencing to large scale graphical models
A Ulanov, M Marwah, M Kim, R Dathathri, C Zubieta, J Li
2017 IEEE International Conference on Big Data (Big Data), 383-388, 2017
22017
Sandslash: a two-level framework for efficient graph pattern mining
X Chen, R Dathathri, G Gill, L Hoang, K Pingali
Proceedings of the ACM International Conference on Supercomputing, 378-391, 2021
12021
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