Scott McMillan

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Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
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
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
P SadayappanProfessor, Kahlert School of Computing, University of UtahVerified email at cs.utah.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. 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
Tim DavisProfessor of Computer Science, Texas A&M. ACM/IEEE/SIAM FellowVerified email at tamu.edu
Shana HutchisonUniversity of WashingtonVerified email at cs.washington.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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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	232	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	228	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, RB McGhee, DE Orin	228	1995
Efficient Dynamic Simulation of an Underwater Vehicle with a Robotic Manipulator S McMillan, DE Orin, RB McGhee	228*
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	82	2017
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin	70*	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	43	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	43	1995
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	41	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	35	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
The graphblas c api specification B Brock, A Buluç, T Mattson, S McMillan, J Moreira GraphBLAS. org, Tech. Rep, 2019	32	2019
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	23	2017
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	21	2020
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	20	2018

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