| Mathematical foundations of the GraphBLAS J Kepner, P Aaltonen, D Bader, A Buluç, F Franchetti, J Gilbert, ... High Performance Extreme Computing Conference (HPEC), 2016 IEEE, 1-9, 2016 | 287 | 2016 |
| Efficient dynamic simulation of an underwater vehicle with a robotic manipulator S McMillan, DE Orin, RB McGhee IEEE Transactions on Systems, Man, and Cybernetics 25 (8), 1194-1206, 1995 | 236 | 1995 |
| Design of the GraphBLAS API for C A Buluç, T Mattson, S McMillan, J Moreira, C Yang 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 100 | 2017 |
| DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin | 67* | 1995 |
| Computational dynamics for robotic systems on land and under water S McMillan The Ohio State University, 1994 | 60 | 1994 |
| LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS T Mattson, TA Davis, M Kumar, A Buluc, S McMillan, J Moreira, C Yang 2019 IEEE International Parallel and Distributed Processing Symposium …, 2019 | 48 | 2019 |
| GBTL-CUDA: Graph algorithms and primitives for GPUs P Zhang, M Zalewski, A Lumsdaine, S Misurda, S McMillan 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 47 | 2016 |
| Efficient computation of articulated-body inertias using successive axial screws S McMillan, DE Orin IEEE Transactions on Robotics and Automation 11 (4), 606-611, 1995 | 44 | 1995 |
| The graphblas c api specification B Brock, A Buluç, T Mattson, S McMillan, J Moreira GraphBLAS. org, Tech. Rep, 2019 | 43 | 2019 |
| Forward dynamics of multilegged vehicles using the composite rigid body method S McMillan, DE Orin Robotics and Automation, 1998. Proceedings. 1998 IEEE International …, 1998 | 41 | 1998 |
| A computational framework for simulation of underwater robotic vehicle systems S McMillan, DE Orin, RB McGhee Autonomous Robots 3 (2), 253-268, 1996 | 37 | 1996 |
| A Computational Framework for Simulation of Underwater Robotic Vehicle Systems S McMillan, DE Orin, RB McGhee | 37 | 1996 |
| Dynamic parallelism for simple and efficient GPU graph algorithms P Zhang, E Holk, J Matty, S Misurda, M Zalewski, J Chu, S McMillan, ... Proceedings of the 5th Workshop on Irregular Applications: Architectures and …, 2015 | 36 | 2015 |
| Efficient dynamic simulation of an unmanned underwater vehicle with a manipulator S McMillan, DE Orin, RB McGhee Robotics and Automation, 1994. Proceedings., 1994 IEEE International …, 1994 | 35 | 1994 |
| Efficient dynamic simulation of an unmanned underwater vehicle with a manipulator S McMillan, DE Orin, RB McGhee Robotics and Automation, 1994. Proceedings., 1994 IEEE International …, 1994 | 35 | 1994 |
| 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 | 32 | 2020 |
| First look: Linear algebra-based triangle counting without matrix multiplication TM Low, VN Rao, M Lee, D Popovici, F Franchetti, S McMillan 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017 | 26 | 2017 |
| GraphBLAS C API: Ideas for future versions of the specification TG Mattson, C Yang, S McMillan, A Buluç, JE Moreira 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017 | 23 | 2017 |
| Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices TM Low, DG Spampinato, A Kutuluru, U Sridhar, DT Popovici, F Franchetti, ... 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 22 | 2018 |
| PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV F Sadi, J Sweeney, S McMillan, TM Low, JC Hoe, L Pileggi, F Franchetti 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 19 | 2018 |
Timothy G MattsonHuman Learning Group在 timmattson.com 的电子邮件经过验证
