Scott McMillan - Google Scholar Citations

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David OrinOhio State UniversityVerified email at osu.edu
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyVerified email at lbl.gov
Jose MoreiraResearch Staff Member, IBMVerified email at us.ibm.com
Carl YangPhD, University of California, DavisVerified email at ucdavis.edu
Marcin ZalewskiPacific Northwest National Laboratory (PNNL)Verified email at pnnl.gov
Franz FranchettiCarnegie Mellon UniversityVerified email at ece.cmu.edu
Andrew LumsdaineNorthwest Inst. for Adv. Computing; University of Washington; Pacific Northwest National LaboratoryVerified email at uw.edu
P SadayappanProfessor, School of Computing, University of UtahVerified email at cs.utah.edu
Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
Tze Meng LowCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Peter ZhangCenter for Research in Extreme Scale Technologies, Indiana UniversityVerified email at indiana.edu
Shana HutchisonUniversity of WashingtonVerified email at cs.washington.edu
John OwensDepartment of Electrical and Computer Engineering, UC DavisVerified email at ece.ucdavis.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyVerified email at njit.edu
Henning MeyerhenkeProfessor of Computer Science, HU BerlinVerified email at hu-berlin.de
John R. GilbertProfessor 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. SpampinatoCarnegie Mellon UniversityVerified email at cmu.edu
Doru Thom PopoviciLawrence Berkeley National LabVerified email at lbl.gov
Eric HolkGoogleVerified email at google.com

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	203	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, RB McGhee, DE Orin	203	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, DE Orin, RB McGhee	203*
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	94	2016
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin	71	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	71	1995
Computational dynamics for robotic systems on land and under water S McMillan The Ohio State University, 1994	57	1994
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	41	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	37	2017
Forward dynamics of multilegged vehicles using the composite rigid body method S McMillan, DE Orin Robotics and Automation, 1998. Proceedings. 1998 IEEE International …, 1998	35	1998
A computational framework for simulation of underwater robotic vehicle systems S McMillan, DE Orin, RB McGhee Autonomous Robots 3 (2-3), 253-268, 1996	35	1996
A Computational Framework for Simulation of Underwater Robotic Vehicle Systems S McMillan, DE Orin, RB McGhee	35	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	27	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	27	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	22	2016
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	21	2015
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	17	1994
BUGS: Basic UXO gathering system AJ Healey, S McMillan, D Jenkins, RB McGhee Proceedings of Autonomous Vehicles in Mine Countermeasures Symposium, 4-7, 1995	15	1995
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	14	2017
Object-oriented design of a dynamic simulation for underwater robotic vehicles S McMillan, DE Orin, RB McGhee Proceedings of 1995 IEEE International Conference on Robotics and Automation …, 1995	13	1995

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