Scott McMillan

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David OrinOhio State UniversityVerified email at osu.edu
Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov
Jose MoreiraResearch Staff Member, IBMVerified email at us.ibm.com
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
P SadayappanProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Daniele G. SpampinatoHuawei Technologies Switzerland AGVerified email at huawei.com
Upasana SridharCarnegie Mellon UniversityVerified email at cmu.edu
Mark BlancoPhD Student at Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Shana HutchisonUniversity of WashingtonVerified email at cs.washington.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
Tim DavisProfessor of Computer Science, Texas A&M. ACM/IEEE/SIAM FellowVerified email at tamu.edu

Scott McMillan

Software Engineering Institute

Verified email at sei.cmu.edu

dynamic simulation robotics graph algorithms data analytics parallel machine learning


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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	221	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, RB McGhee, DE Orin	221	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, DE Orin, RB McGhee	221*
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	203	2016
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	73	2017
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin	73	1995
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles," S McMillan, DE Orin, RB McGhee Underwater Robotic Vehicles: Design and Control (J. Yuh, ed.), 73-98, 1995	73	1995
Computational dynamics for robotic systems on land and under water S McMillan The Ohio State University, 1994	60	1994
Forward dynamics of multilegged vehicles using the composite rigid body method S McMillan, DE Orin Robotics and Automation, 1998. Proceedings. 1998 IEEE International …, 1998	42	1998
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	42	1995
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	36	2016
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
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	34	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	34	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	32	2019
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	31	2015
The GraphBLAS C API Specification A Buluç, T Mattson, S McMillan, J Moreira, C Yang version 1.0. 0. Technical report, The GraphBLAS Signatures Subgroup, 2017	29*	2017
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	19	2017
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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