@article{VYURV_2012_2_a5,
author = {P. S. Kostenetskiy},
title = {Query processing on cluster based sysems with multicore acelerators},
journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a Vy\v{c}islitelʹna\^a matematika i informatika},
pages = {59--67},
year = {2012},
number = {2},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/VYURV_2012_2_a5/}
}
TY - JOUR AU - P. S. Kostenetskiy TI - Query processing on cluster based sysems with multicore acelerators JO - Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika PY - 2012 SP - 59 EP - 67 IS - 2 UR - http://geodesic.mathdoc.fr/item/VYURV_2012_2_a5/ LA - ru ID - VYURV_2012_2_a5 ER -
%0 Journal Article %A P. S. Kostenetskiy %T Query processing on cluster based sysems with multicore acelerators %J Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika %D 2012 %P 59-67 %N 2 %U http://geodesic.mathdoc.fr/item/VYURV_2012_2_a5/ %G ru %F VYURV_2012_2_a5
P. S. Kostenetskiy. Query processing on cluster based sysems with multicore acelerators. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, no. 2 (2012), pp. 59-67. http://geodesic.mathdoc.fr/item/VYURV_2012_2_a5/
[1] R. Agrawal, A. Ailamaki, P.A. Bernstein et al., “The Claremont Report on Database Research”, Communications of the ACM, 52:6 (2009), 56–65
[2] P. Bakkum, K. Skadron, “Accelerating SQL Database Operations on a GPU with CUDA”, The 3rd Workshop on General-Purpose Computation on Graphics Processing Units (Pittsburgh, USA, March 14, 2010), ACM, 2010, 94–103
[3] A.D. Blas, T. Kaldewey, “Data Monster”, IEEE Spectrum, 46:9 (2009), 46–51 | DOI
[4] S. Ding, J. He, H. Yan, T. Suel, “Using Graphics Processors for High Performance IR Query Processing”, The 18th International Conference on World Wide Web (New York, USA, April 20–24, 2009), ACM, 2009, 421–430
[5] N. Govindaraju, B. Lloyd, W .Wang, et al., “Fast Computation of Database Operations Using Graphics Processors”, ACM SIGGRAPH 2005 Courses, ACM, New York, USA, 2005, 206 pp.
[6] M. Heimel, V. Markl, “A First Step Towards GPU-assisted Query Optimization”, The Third International Workshop on Accelerating Data Management Systems using Modern Processor and Storage Architectures (Istanbul, Turkey, August 27, 2012), 2012, 1–12
[7] P. Bakkum, K. Skadron, “Accelerating SQL Database Operations on a GPU with CUDA”, 3rd Workshop on General Purpose Computation on Graphics Processing Units (New York, USA, March 14, 2010), ACM, 2010, 94–103
[8] N. Bandi, C. Sun, D. Agrawal, A.E. Abbadi, “Hardware Acceleration in Commercial Databases: a Case Study of Spatial Operations”, Proceedings of the 30th International Conference on Very Large Data Bases (August 31 – September 3, 2004), v. 30, VLDB Endowment, 2004, 1021–1032
[9] B. He, M. Lu, K. Yang, R. Fang, et.al., “Relational Query Coprocessing on Graphics Processors”, ACM Transactions on Database Systems, 34:4 (2009), 21:1–21:39 | DOI
[10] B. He, Y.J. Xu, “Highthroughput Transaction Executionson Graphics Processors” (Seattle, Washington, USA, August 29 – September 3, 2011), Proceedings of the VLDB Endowment, 4:5 (2011), 314–325 | DOI
[11] C. Kim, J. Chhugani, N. Satish, “FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs”, ACM SIGMOD International Conference on Management of Data, Indianapolis (USA, June 6–10, 2010), ACM, 2010, 339–350
[12] N. Satish, C. Kim, J. Chhugani, et. al., “Fast Sort on CPUs and GPUs: a Case for Bandwidth Oblivious SIMD Sort”, The 2010 ACM SIGMOD International Conference on Management of Data (New York, USA, 2010), ACM, 2010, 351–362
[13] U.R. Vitor, A GPU Operations Framework for WattDB. Technical Report, University of Kaiserslautern, Germany, Kaiserslautern, 2012, 44 pp.
[14] C.E. Hansen, M. Christiansen, CUDA DBMS. Technical Report, Aalborg University, Denmark, Copenhagen, 2009, 79 pp.
[15] P.S. Kostenetskii, A.V. Lepikhov, L.B. Sokolinskii, “Technologies of Parallel Database Systems for Hierarchical Multiprocessor Environments”, Automation and Remote Control, 68:5 (2007), 847–859 | DOI
[16] A.V. Lepikhov, L.B. Sokolinsky, “Query Processing in a DBMS for Cluster Systems”, Programming and Computer Software, 36:4 (2010), 205–215
[17] C.S. Pan, M.L. Zymbler, “Development of a Parallel Database Management System on the Basis of Open-Source PostgreSQL DBMS”, Bulletin of the South Ural State University. Series: Mathematical Modeling, Programming Computer Software, 12:18(277) (2012), 112–120
[18] L.B. Sokolinsky, “Organization of Parallel Query Processing in Multiprocessor Database Machines with Hierarchical Architecture”, Programming and Computer Software, 27:6 (2001), 297–308
[19] L.B. Sokolinsky, “Survey of Architectures of Parallel Database Systems”, Programming and Computer Software, 30:6 (2004), 337–346