| 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 | 103* | 2019 |
| 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 | 102 | 2018 |
| 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 | 59 | 2020 |
| 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 | 57 | 2013 |
| 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 | 38 | 2020 |
| 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 | 37 | 2015 |
| 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 | 30 | 2019 |
| 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 | 30 | 2018 |
| 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 | 26 | 2020 |
| 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 | 23 | 2018 |
| 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 | 20 | 2018 |
| 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 | 20 | 2016 |
| 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 | 19 | 2019 |
| 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 | 18 | 2019 |
| 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 | 18 | 2019 |
| 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 | 14 | 2020 |
| 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 | 11 | 2019 |
| 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 | 8 | 2020 |
| 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 | 7 | 2021 |
| 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 | 2 | 2017 |
Gurbinder GillSenior Software Engineer, Katana GraphVerified email at katanagraph.com
