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Correction to: Two-dimensional indexing to provide one-integrated-memory view of distributed memory for a massively-parallel search engine

Tae-Seob Yun, Kyu-Young Whang, Hyuk-Yoon Kwon, Jun-Sung Kim, Il-Yeol Song
2019 World wide web (Bussum)  
In this paper, we adopt this basic scheme with a different purpose of minimizing the average query response time by simulating collective distributed (main) memory as one integrated memory.  ...  Then, we extend this scheme so that each row of the twodimensional array stores a replicated (document-partitioned only) index shard on disk for efficient processing of multiple-keyword queries.  ...  Figure 2 shows the concept of providing a one-integrated-memory view of collective memories by using two-dimensional indexing over n × m two-dimensional distributed memory.  ... 
doi:10.1007/s11280-019-00679-9 fatcat:hmii33kwvbac5mnbqmigfebgom

cgmOLAP: Efficient Parallel Generation and Querying of Terabyte Size ROLAP Data Cubes

Y. Chen, A. Rau-Chaplin, F. Dehne, T. Eavis, D. Green, E. Sithirasenan
2006 22nd International Conference on Data Engineering (ICDE'06)  
The cgmOLAP system consists of an application interface, a parallel query engine, a parallel cube materialization engine, meta data and cost model repositories, and shared server components that provide  ...  approaches for the parallel computation of full cubes, partial cubes, and iceberg cubes as well as new parallel cube indexing schemes.  ...  Provides the application interface to the cgmOLAP system. 2. Parallel query engine. Supports parallel rollup, drilldown, slice, dice, and pivot queries as well as ddimensional range search. 3.  ... 
doi:10.1109/icde.2006.32 dblp:conf/icde/ChenRDEGS06 fatcat:mqegrg5otbga3i2gtsftt5xh7a

Database System Architecture – A Walk Through Time: From Centralized Platform to Mobile Computing – Keynote Address [chapter]

Ali R. Hurson, Yu Jiao
2005 Lecture Notes in Computer Science  
This keynote address first introduces a three dimensional space to classify and identify the evolution of different classes of database systems.  ...  Heterogeneous distributed databases are designed to deal with issue of data integration and interoperability.  ...  Broadcast-Based Services Access latency and power management Application of index a nd organization of objects on single broadcast channel Application of index and organization of objects on parallel broadcast  ... 
doi:10.1007/11533962_1 fatcat:e36tkeizefbwbexyoqta7frf3i

Remote sensing big data computing: Challenges and opportunities

Yan Ma, Haiping Wu, Lizhe Wang, Bormin Huang, Rajiv Ranjan, Albert Zomaya, Wei Jie
2015 Future generations computer systems  
In this paper, we give a brief overview on the Big Data and data-intensive problems, including the analysis of RS Big Data, Big Data challenges, current techniques and works for processing RS Big Data.  ...  The proliferation of data also give rise to the increasing complexity of RS data, like the diversity and higher dimensionality characteristic of the data. RS data are regarded as RS "Big Data".  ...  On one hand, some skeletal parallel programming libraries offer distributed data structure for data managing on distributed memories.  ... 
doi:10.1016/j.future.2014.10.029 fatcat:xw3ssuxmrfdqhi55jnepxig6by

Strategies for real-time spatial analysis in a GIS framework: An application to real-time traffic flow modeling on massively parallel computers

1995 Transportation Research Part A: Policy and Practice  
as follows: Picturing: This provides a capability to display data in the horizontal and vertical axis so as to give a 2-dimensional view of a multidimensional data space.  ...  In comparison, parallel computers, especially massively parallel computers, with their relatively low cost and the ability to integrate the computational power of massively parallelized processors, some  ... 
doi:10.1016/0965-8564(95)90248-1 fatcat:udnufzty55h6rdrzk4dfze2a5i

An overview of business intelligence technology

Surajit Chaudhuri, Umeshwar Dayal, Vivek Narasayya
2011 Communications of the ACM  
Today, a number of vendors (for example, FAST Engine Search 11 and Google Search Appliance 12 ) provide enterprise search capability.  ...  Technology trends are providing an opportunity for a new class of OLAP engines focused on exploiting large main memory to make response times for ad-hoc queries interactive.  ... 
doi:10.1145/1978542.1978562 fatcat:ws4wbvmbdjdlfbuzerkrekvsey

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning [article]

Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018 arXiv   pre-print
Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs.  ...  There is an increasing need to bring machine learning to a wide diversity of hardware devices.  ...  We would also like to thank members of Sampa, SAMPL and Systems groups at the Allen School for their feedback on the work and manuscript.  ... 
arXiv:1802.04799v3 fatcat:e6htzyqaqjhpnm3yyi6xl3mdoq

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes

Moises Hernandez-Fernandez, Istvan Reguly, Saad Jbabdi, Mike Giles, Stephen Smith, Stamatios N. Sotiropoulos
2019 NeuroImage  
A step forward is to take advantage of the computational power offered by recent parallel computing architectures, especially Graphics Processing Units (GPUs).  ...  than 200 CPU cores thanks to our parallel designs.  ...  Acknowledgments We would like to acknowledge financial support from the UK Engineering and Physical Sciences Research Council (EP/L023067/1).  ... 
doi:10.1016/j.neuroimage.2018.12.015 pmid:30537563 pmcid:PMC6614035 fatcat:sf3of77bgff7dbzlvgfodxojca

Hadoop GIS

Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel Saltz
2013 Proceedings of the VLDB Endowment  
There are two major challenges for managing and querying massive spatial data to support spatial queries: the explosion of spatial data, and the high computational complexity of spatial queries.  ...  Hadoop-GIS is available as a set of library for processing spatial queries, and as an integrated software package in Hive.  ...  To provide page based spatial index search, the built spatial indexes are stored in the main memory for query processing.  ... 
doi:10.14778/2536222.2536227 fatcat:z7w7hmd23na4flngnhyfvapbe4

Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce

Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel Saltz
2013 Proceedings of the VLDB Endowment  
There are two major challenges for managing and querying massive spatial data to support spatial queries: the explosion of spatial data, and the high computational complexity of spatial queries.  ...  Hadoop-GIS is available as a set of library for processing spatial queries, and as an integrated software package in Hive.  ...  IBM provides academic license for DB2. David Adler and Susan Malaika from IBM provided many insightful suggestions.  ... 
pmid:24187650 pmcid:PMC3814183 fatcat:v5ov5f6vhzcklbkoyztq7zovda

Parton distribution functions with QED corrections [article]

Stefano Carrazza
2015 arXiv   pre-print
We then provide a first determination of the full set of PDFs based on deep-inelastic scattering data and LHC data for W and Z/γ^* Drell-Yan production, using leading-order QED and NLO or NNLO QCD: the  ...  We perform a preliminary investigation of the phenomenological implications of NNPDF2.3QED set, in particular, focusing on the photon-induced corrections to direct photon production at HERA, high-mass  ...  Computation engine and server deployment In parallel to the Web development, the most important component of APFEL Web is the computational engine that we called apfeldaemon.  ... 
arXiv:1509.00209v2 fatcat:upv7ryawu5dhnhc4n3kuwi6rqq

GPU computing in discrete optimization. Part I: Introduction to the GPU

André R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasle
2013 EURO Journal on Transportation and Logistics  
This paper is the first part of a series of two, where the goal of this first part is to give a tutorial style introduction to modern PC architectures and GPU programming.  ...  Modern commodity PCs include a multi-core CPU and at least one GPU, providing a low cost, easily accessible heterogeneous environment for high performance computing.  ...  Algorithms that are obviously inefficient in a sequential computing model may be optimal on a massively parallel architecture. This paper has two main goals.  ... 
doi:10.1007/s13676-013-0025-1 fatcat:w5ejpymazvekpddg4dzrlchxke

A Parallel, Distributed and Associative Approach for Searching Image Patterns with Holographic Dynamics

JAVED I. KHAN, D.Y.Y. YUN
1997 Journal of Visual Languages and Computing  
Unlike any existing neural network or associative memories, it can dynamically localize its search on any subset of the pattern space and at the same time can generate a feedback on the quality of match  ...  Unlike any existing neural network or associative memories, it can dynamically localize its search on any subset of the pattern space and at the same time can generate a feedback on the quality of match  ...  The authors would also like to acknowledge Maui High Performance Computing Center for resource support in parallel implementation.  ... 
doi:10.1006/jvlc.1997.0042 fatcat:ndzwkjjdvnamvdhgk27wza6k6y

Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors

Pentti Kanerva
2009 Cognitive Computation  
computing on account of the very high dimensionality.  ...  The thesis of the paper is that hyperdimensional representation has much to offer to students of cognitive science, theoretical neuroscience, computer science and engineering, and mathematics.  ...  the ideas for high-dimensional binary representation.  ... 
doi:10.1007/s12559-009-9009-8 fatcat:uxwcqyti3ngrli5qipx2gz5dre

!A Novel Parallel Biclustering Approach and Its Application to Identify and Segment Highly Profitable Telecom Customers

Qin Lin, Huailing Zhang, Xizhao Wang, Yun Xue, Hongxin Liu, Changwei Gong
2019 IEEE Access  
To overcome these problems, a novel statistically motivated parallel large sum submatrix biclustering algorithm based on Spark MapReduce (SP-PLSS) is proposed in this paper.  ...  Identifying and segmenting various kinds of highly profitable customers is a critical issue for telecom enterprises.  ...  Hence, the straightforward idea is to initiate two MapReduce tasks for each iteration of these two phases respectively. One is for row-wise search and the other is for column-wise search.  ... 
doi:10.1109/access.2019.2898644 fatcat:6rt4daaa5rd3rcbonruprnsnm4
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