메뉴 건너뛰기




Volumn 15-20-November-2015, Issue , 2015, Pages

Scalable sparse tensor decompositions in distributed memory systems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; ITERATIVE METHODS; MEMORY ARCHITECTURE;

EID: 84966668057     PISSN: 21674329     EISSN: 21674337     Source Type: Conference Proceeding    
DOI: 10.1145/2807591.2807624     Document Type: Conference Paper
Times cited : (95)

References (34)
  • 1
    • 79951898361 scopus 로고    scopus 로고
    • A scalable optimization approach for fitting canonical tensor decompositions
    • February
    • E. Acar, D. M. Dunlavy, and T. G. Kolda. A scalable optimization approach for fitting canonical tensor decompositions. Journal of Chemometrics, 25(2):67-86, February 2011.
    • (2011) Journal of Chemometrics , vol.25 , Issue.2 , pp. 67-86
    • Acar, E.1    Dunlavy, D.M.2    Kolda, T.G.3
  • 3
    • 0019635684 scopus 로고
    • Strategies for analyzing data from video fluorometric monitoring of liquid chromatographic effluents
    • C. J. Appellof and E. Davidson. Strategies for analyzing data from video fluorometric monitoring of liquid chromatographic effluents. Analytical Chemistry, 53(13):2053-2056, 1981.
    • (1981) Analytical Chemistry , vol.53 , Issue.13 , pp. 2053-2056
    • Appellof, C.J.1    Davidson, E.2
  • 4
    • 41449100090 scopus 로고    scopus 로고
    • Multi-level direct K-way hypergraph partitioning with multiple constraints and fixed vertices
    • C. Aykanat, B. B. Cambazoglu, and B. Ucar. Multi-level direct K-way hypergraph partitioning with multiple constraints and fixed vertices. Journal of Parallel and Distributed Computing, 68:609-625, 2008.
    • (2008) Journal of Parallel and Distributed Computing , vol.68 , pp. 609-625
    • Aykanat, C.1    Cambazoglu, B.B.2    Ucar, B.3
  • 5
    • 49749096526 scopus 로고    scopus 로고
    • Efficient MATLAB computations with sparse and factored tensors
    • December
    • B. W. Bader and T. G. Kolda. Efficient MATLAB computations with sparse and factored tensors. SIAM Journal on Scientific Computing, 30(1):205-231, December 2007.
    • (2007) SIAM Journal on Scientific Computing , vol.30 , Issue.1 , pp. 205-231
    • Bader, B.W.1    Kolda, T.G.2
  • 10
    • 34250499792 scopus 로고
    • Analysis of individual differences in multidimensional scaling via an N-way generalization of "eckart-Young" decomposition
    • J. D. Carroll and J.-J. Chang. Analysis of individual differences in multidimensional scaling via an N-way generalization of "Eckart-Young" decomposition. Psychometrika, 35(3):283-319, 1970.
    • (1970) Psychometrika , vol.35 , Issue.3 , pp. 283-319
    • Carroll, J.D.1    Chang, J.-J.2
  • 11
    • 0033360524 scopus 로고    scopus 로고
    • Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication
    • Jul
    • U. V. Catalyurek and C. Aykanat. Hypergraph-partitioning-based decomposition for parallel sparse-matrix vector multiplication. IEEE Transactions on Parallel and Distributed Systems, 10(7):673-693, Jul 1999.
    • (1999) IEEE Transactions on Parallel and Distributed Systems , vol.10 , Issue.7 , pp. 673-693
    • Catalyurek, U.V.1    Aykanat, C.2
  • 14
    • 84937955938 scopus 로고    scopus 로고
    • DFacTo: Distributed factorization of tensors
    • Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, editors, Montreal, Quebec, Canada
    • J. H. Choi and S. V. N. Vishwanathan. DFacTo: Distributed factorization of tensors. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, editors, 27th Advances in Neural Information Processing Systems, pages 1296-1304, Montreal, Quebec, Canada, 2014.
    • (2014) 27th Advances in Neural Information Processing Systems , pp. 1296-1304
    • Choi, J.H.1    Vishwanathan, S.V.N.2
  • 15
    • 85032750838 scopus 로고    scopus 로고
    • Tensors: A brief introduction
    • May
    • P. Comon. Tensors: A brief introduction. IEEE Signal Processing Magazine, 31(3):44-53, May 2014.
    • (2014) IEEE Signal Processing Magazine , vol.31 , Issue.3 , pp. 44-53
    • Comon, P.1
  • 20
    • 0002740437 scopus 로고
    • Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis
    • R. A. Harshman. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis. UCLA Working Papers in Phonetics, 16:1-84, 1970.
    • (1970) UCLA Working Papers in Phonetics , vol.16 , pp. 1-84
    • Harshman, R.A.1
  • 21
    • 0034544702 scopus 로고    scopus 로고
    • Load balancing fictions, falsehoods and fallacies
    • B. Hendrickson. Load balancing fictions, falsehoods and fallacies. Applied Mathematical Modelling, 25:99-108, 2000.
    • (2000) Applied Mathematical Modelling , vol.25 , pp. 99-108
    • Hendrickson, B.1
  • 22
    • 0001108827 scopus 로고    scopus 로고
    • Graph partitioning models for parallel computing
    • B. Hendrickson and T. G. Kolda. Graph partitioning models for parallel computing. Parallel Computing, 26(12):1519-1534, 2000.
    • (2000) Parallel Computing , vol.26 , Issue.12 , pp. 1519-1534
    • Hendrickson, B.1    Kolda, T.G.2
  • 24
    • 0347498980 scopus 로고    scopus 로고
    • Technical Report 99-034, University of Minnesota, Department of Computer Science/Army HPC Research Center, Minneapolis, MN 55455, November
    • G. Karypis and V. Kumar. Multilevel algorithms for multi-constraint hypergraph partitioning. Technical Report 99-034, University of Minnesota, Department of Computer Science/Army HPC Research Center, Minneapolis, MN 55455, November 1998.
    • (1998) Multilevel Algorithms for Multi-constraint Hypergraph Partitioning
    • Karypis, G.1    Kumar, V.2
  • 26
    • 68649096448 scopus 로고    scopus 로고
    • Tensor decompositions and applications
    • T. Kolda and B. Bader. Tensor decompositions and applications. SIAM Review, 51(3):455-500, 2009.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 455-500
    • Kolda, T.1    Bader, B.2
  • 29
    • 84923166047 scopus 로고    scopus 로고
    • A novel method for scaling iterative solvers: Avoiding latency overhead of parallel sparse-matrix vector multiplies
    • March
    • R. O. Selvitopi, M. M. Ozdal, and C. Aykanat. A novel method for scaling iterative solvers: Avoiding latency overhead of parallel sparse-matrix vector multiplies. IEEE Transactions on Parallel and Distributed Systems, 26(3):632-645, March 2015.
    • (2015) IEEE Transactions on Parallel and Distributed Systems , vol.26 , Issue.3 , pp. 632-645
    • Selvitopi, R.O.1    Ozdal, M.M.2    Aykanat, C.3
  • 32
    • 10344261407 scopus 로고    scopus 로고
    • Encapsulating multiple communication-cost metrics in partitioning sparse rectangular matrices for parallel matrix-vector multiplies
    • B. Ucar and C. Aykanat. Encapsulating multiple communication-cost metrics in partitioning sparse rectangular matrices for parallel matrix-vector multiplies. SIAM Journal on Scientific Computing, 25(6):1837-1859, 2004.
    • (2004) SIAM Journal on Scientific Computing , vol.25 , Issue.6 , pp. 1837-1859
    • Ucar, B.1    Aykanat, C.2
  • 33
    • 37249078616 scopus 로고    scopus 로고
    • Revisiting hypergraph models for sparse matrix partitioning
    • B. Uccar and C. Aykanat. Revisiting hypergraph models for sparse matrix partitioning. SIAM Review, 49(4):595-603, 2007.
    • (2007) SIAM Review , vol.49 , Issue.4 , pp. 595-603
    • Uccar, B.1    Aykanat, C.2
  • 34
    • 84944415516 scopus 로고    scopus 로고
    • Multilinear analysis of image ensembles: Tensorfaces
    • Springer
    • M. A. O. Vasilescu and D. Terzopoulos. Multilinear analysis of image ensembles: Tensorfaces. In Computer Vision-ECCV 2002, pages 447-460. Springer, 2002.
    • (2002) Computer Vision-ECCV , vol.2002 , pp. 447-460
    • Vasilescu, M.A.O.1    Terzopoulos, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.