| Algorithm 887: CHOLMOD, supernodal sparse Cholesky factorization and update/downdate Y Chen, TA Davis, WW Hager, S Rajamanickam ACM Transactions on Mathematical Software (TOMS) 35 (3), 22, 2008 | 692 | 2008 |
| A survey of direct methods for sparse linear systems. TA Davis, S Rajamanickam, WM Sid-Lakhdar Acta Numer. 25, 383-566, 2016 | 144 | 2016 |
| Amesos2 and Belos: Direct and iterative solvers for large sparse linear systems E Bavier, M Hoemmen, S Rajamanickam, H Thornquist Scientific Programming 20 (3), 241-255, 2012 | 107 | 2012 |
| Scalable matrix computations on large scale-free graphs using 2D graph partitioning EG Boman, KD Devine, S Rajamanickam Proceedings of the International Conference on High Performance Computing …, 2013 | 105 | 2013 |
| BFS and Coloring-based Parallel Algorithms for Strongly Connected Components and Related Problems GM Slota, S Rajamanickam, K Madduri | 83 | 2014 |
| Exploiting geometric partitioning in task mapping for parallel computers M Deveci, S Rajamanickam, VJ Leung, K Pedretti, SL Olivier, DP Bunde, ... 2014 IEEE 28th international parallel and distributed processing symposium …, 2014 | 72 | 2014 |
| System and method for cluster-sensitive sticky load balancing V Kalyanavarathan, R Sivasankaran US Patent 7,185,096, 2007 | 70 | 2007 |
| ShyLU: A Hybrid-Hybrid Solver for Multicore Platforms S Rajamanickam, E Boman, M Heroux Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th …, 2012 | 68 | 2012 |
| Fast linear algebra-based triangle counting with kokkoskernels MM Wolf, M Deveci, JW Berry, SD Hammond, S Rajamanickam 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017 | 45 | 2017 |
| PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks GM Slota, K Madduri, S Rajamanickam 2014 IEEE International Conference on Big Data (Big Data), 481-490, 2014 | 45 | 2014 |
| Multithreaded Algorithms for Maximum Matching in Bipartite Graphs A Azad, M Halappanavar, S Rajamanickam, EG Boman, A Khan, ... Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th …, 2012 | 44 | 2012 |
| Parallel graph coloring for manycore architectures M Deveci, EG Boman, KD Devine, S Rajamanickam 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 40 | 2016 |
| Performance-portable sparse matrix-matrix multiplication for many-core architectures M Deveci, C Trott, S Rajamanickam 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 38 | 2017 |
| Domain decomposition preconditioners for communication-avoiding Krylov methods on a hybrid CPU/GPU cluster I Yamazaki, S Rajamanickam, EG Boman, M Hoemmen, MA Heroux, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 35 | 2014 |
| Partitioning trillion-edge graphs in minutes GM Slota, S Rajamanickam, K Devine, K Madduri 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 34 | 2017 |
| Multi-jagged: A scalable parallel spatial partitioning algorithm M Deveci, S Rajamanickam, KD Devine, ÜV Çatalyürek IEEE Transactions on Parallel and Distributed Systems 27 (3), 803-817, 2015 | 30* | 2015 |
| 10th DIMACS Implementation Challenge-Graph Partitioning and Graph Clustering DA Bader, H Meyerhenke, P Sanders, D Wagner | 29 | 2011 |
| Multithreaded sparse matrix-matrix multiplication for many-core and GPU architectures M Deveci, C Trott, S Rajamanickam Parallel Computing 78, 33-46, 2018 | 28 | 2018 |
| A case study of complex graph analysis in distributed memory: Implementation and optimization GM Slota, S Rajamanickam, K Madduri 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 28 | 2016 |
| Towards extreme-scale simulations for low mach fluids with second-generation trilinos P Lin, M Bettencourt, S Domino, T Fisher, M Hoemmen, J Hu, E Phipps, ... Parallel processing letters 24 (04), 1442005, 2014 | 28 | 2014 |
Erik G. BomanSandia National LaboratoriesVerified email at sandia.gov
