Scott McMillan

Citirano

	Sve	Od 2020.
Citati	1545	731
H-indeks	19	13
i10-indeks	31	17

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Suautori

Timothy G MattsonHuman Learning GroupPotvrđena adresa e-pošte na timmattson.com
Jose MoreiraResearch Staff Member, IBMPotvrđena adresa e-pošte na us.ibm.com
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyPotvrđena adresa e-pošte na lbl.gov
David OrinOhio State UniversityPotvrđena adresa e-pošte na osu.edu
Andrew LumsdaineUniversity of Washington; Pacific Northwest National LaboratoryPotvrđena adresa e-pošte na uw.edu
Marcin ZalewskiPacific Northwest National Laboratory (PNNL)Potvrđena adresa e-pošte na pnnl.gov
Franz FranchettiCarnegie Mellon UniversityPotvrđena adresa e-pošte na ece.cmu.edu
Tze Meng LowCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyPotvrđena adresa e-pošte na njit.edu
P SadayappanProfessor, Kahlert School of Computing, University of UtahPotvrđena adresa e-pošte na cs.utah.edu
Shana HutchisonUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
John OwensDepartment of Electrical and Computer Engineering, UC DavisPotvrđena adresa e-pošte na ece.ucdavis.edu
Henning MeyerhenkeProfessor of Computer Science, HU BerlinPotvrđena adresa e-pošte na hu-berlin.de
John R. GilbertProfessor Emeritus of Computer Science, University of California at Santa BarbaraPotvrđena adresa e-pošte na cs.ucsb.edu
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterPotvrđena adresa e-pošte na ll.mit.edu
Upasana SridharCarnegie Mellon UniversityPotvrđena adresa e-pošte na cmu.edu
Peter ZhangCenter for Research in Extreme Scale Technologies, Indiana UniversityPotvrđena adresa e-pošte na indiana.edu
Tim DavisProfessor of Computer Science, Texas A&M. ACM/IEEE/SIAM FellowPotvrđena adresa e-pošte na tamu.edu
Daniele G. SpampinatoAxelera AIPotvrđena adresa e-pošte na axelera.ai
Doru Thom PopoviciLawrence Berkeley National LabPotvrđena adresa e-pošte na lbl.gov

Prati

Scott McMillan

Carnegie Mellon University, Software Engineering Institute

Potvrđena adresa e-pošte na sei.cmu.edu

dynamic simulation robotics graph algorithms data analytics parallel machine learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	310	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	246	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	110	2017
DynaMechs: An Object Oriented Software Package for Efficient Dynamic Simulation of Underwater Robotic Vehicles S McMillan, RB McGhee, DE Orin	71*	1995
Computational dynamics for robotic systems on land and under water S McMillan The Ohio State University, 1994	61	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	57	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	45	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
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	40	2020
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	38	2015
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
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	35	2017
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
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	28	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	21	2018

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