Scott McMillan

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Timothy G MattsonHuman Learning GroupVerified email at timmattson.com
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov
Jose MoreiraResearch Staff Member, IBMVerified email at us.ibm.com
David OrinOhio State UniversityVerified email at osu.edu
Franz FranchettiCarnegie Mellon UniversityVerified email at ece.cmu.edu
Andrew LumsdaineUniversity of Washington; Pacific Northwest National LaboratoryVerified email at uw.edu
Marcin ZalewskiPacific Northwest National Laboratory (PNNL)Verified email at pnnl.gov
Tze Meng LowCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Carl YangPhD, University of California, DavisVerified email at ucdavis.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Upasana SridharCarnegie Mellon UniversityVerified email at cmu.edu
P SadayappanProfessor, Kahlert School of Computing, University of UtahVerified email at cs.utah.edu
Tim DavisProfessor of Computer Science, Texas A&M. ACM/IEEE/SIAM FellowVerified email at tamu.edu
John OwensDepartment of Electrical and Computer Engineering, UC DavisVerified email at ece.ucdavis.edu
Henning MeyerhenkeProfessor of Computer Science, HU BerlinVerified email at hu-berlin.de
John R. GilbertProfessor Emeritus of Computer Science, University of California at Santa BarbaraVerified email at cs.ucsb.edu
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterVerified email at ll.mit.edu
Daniele G. SpampinatoComputing Systems Lab, Huawei Zurich Research CenterVerified email at huawei.com
Peter ZhangCenter for Research in Extreme Scale Technologies, Indiana UniversityVerified email at indiana.edu
Shana HutchisonUniversity of WashingtonVerified email at cs.washington.edu

Scott McMillan

Carnegie Mellon University, Software Engineering Institute

Verified email at sei.cmu.edu

dynamic simulation robotics graph algorithms data analytics parallel machine learning


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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	267	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	92	2017
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin	66*	1995
Computational dynamics for robotic systems on land and under water S McMillan The Ohio State University, 1994	60	1994
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
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	45	2019
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
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
The graphblas c api specification B Brock, A Buluç, T Mattson, S McMillan, J Moreira GraphBLAS. org, Tech. Rep, 2019	37	2019
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	37	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	37	1994
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
A computational framework for simulation of underwater robotic vehicle systems S McMillan, DE Orin, RB McGhee Autonomous Robots 3 (2), 253-268, 1996	36	1996
A Computational Framework for Simulation of Underwater Robotic Vehicle Systems S McMillan, DE Orin, RB McGhee	36	1996
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	24	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	24	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	24	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	21	2018
Efficient dynamic simulation of multiple manipulator systems with singular configurations S McMillan, P Sadayappan, DE Orin IEEE transactions on systems, man, and cybernetics 24 (2), 306-313, 1994	18	1994

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