Michael Beynon, Chialin Chang, Umit Catalyurek, Tahsin Kurc, Alan Sussman, Henrique Andrade, Renato Ferreira, Joel Saltz  Home/Search
Context Related
| umd.edu/~renato/papers...parco01b.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: umd.edu/~renato/resume (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: Analysis of data is an important step in understanding and solving a scientific problem. Analysis involves extracting the data of interest from all the available raw data in a dataset and processing it into a data product. However, in many areas of science and engineering, a scientist's ability to analyze information is increasingly becoming hindered by dataset sizes. The vast amount of data in scientific datasets makes it a difficult task to efficiently access the data of interest, and manage... (Update)
Context of citations to this paper: More
.... that execute generalized reduction operations, which are common in the data processing kernel of many data analysis applications [6, 14]. This type of processing consists of retrieving the data of interest and performing user defined transformation, mapping, and aggregation...
...has a better chance to exploit reuse than with conventional caching. Based on our experience with Kronos and other applications [2, 11, 14, 27], we have identified four kinds of projection primitives based on the type of reuse they can leverage: dimensional overlap,...
Cited by: More
Scalable Grid-based Visualization Framework - Thiebaux, Tangmunarunkit.. (Correct)
Asynchronous and Anticipatory Filter-Stream Based.. - Veloso.. (2004) (Correct)
Grid Support for Collaborative Clinical and.. - Hastings, Gray.. (Correct)
Similar documents (at the sentence level):
12.4%: The Virtual Microscope - Catalyurek, Beynon, Chang, Kurc.. (2002) (Correct)
7.8%: Exploration and Visualization of Very Large.. - Kurc.. (2001) (Correct)
6.7%: A Hypergraph-Based Workload Partitioning Strategy.. - Chang, Kurc.. (2000) (Correct)
Active bibliography (related documents): More All
0.8: Exploiting Functional Decomposition for Efficient.. - Andrade, Kurc.. (2002) (Correct)
0.7: Efficient Manipulation of Large Datasets on.. - Beynon, Kurc.. (2002) (Correct)
0.5: DataCutter: Middleware for Filtering Very Large.. - Beynon, Ferreira, .. (2000) (Correct)
System load high. Please wait...
Timeout. Please try your query later.
Similar documents based on text: More All
0.8: Object-relational Queries into Multidimensional.. - Ferreira, Kurc.. (1999) (Correct)
0.7: Multiple Query Optimization for Data Analysis.. - Andrade, Kurc.. (Correct)
0.7: Querying Very Large Multi-dimensional Datasets in ADR - Kurc, Chang, Ferreira.. (1999) (Correct)
Related documents from co-citation: More All
3: Acds: Adapting computational data streams for high performance - Isert, Schwan - 2000
3: Design of a framework for dataintensive wide-area applications - Beynon, Kurc et al. - 2000
3: Distributed processing of very large datasets with DataCutter (context) - Beynon, Kurc et al. - 2001
BibTeX entry: (Update)
M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multidimensional data in parallel and distributed environments. Parallel Computing, 2002. To appear in special issue on Data Intensive Computing. http://citeseer.ist.psu.edu/beynon02processing.html More
@misc{ beynon02processing,
author = "M. Beynon and C. Chang and U. Catalyurek and T. Kurc and A. Sussman and
H. Andrade and R. Ferreira and J. Saltz",
title = "Processing large-scale multidimensional data in parallel and distributed
environments",
text = "M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R.
Ferreira, and J. Saltz. Processing large-scale multidimensional data in
parallel and distributed environments. Parallel Computing, 2002. To appear
in special issue on Data Intensive Computing.",
year = "2002",
url = "citeseer.ist.psu.edu/beynon02processing.html" }
Citations (may not include all citations):663 The GRID: Blueprint for a New Computing Infrastructure (context) - Foster, Kesselman - 1999
516 tree: An efficient and robust access method for points and r.. (context) - Beckmann, Kriegel et al.
117 IEEE Transactions on Knowledge and Data Engineering (context) - Agrawal, Imielinski et al. - 1993
115 Communication optimizations for irregular scientific computa.. - Das, Uysal et al. - 1994 ACM DBLP
76 The Galley parallel file system - Nieuwejaar, Kotz ACM DBLP
75 Active Storage for Large-Scale Data Mining and Multimedia Ap.. - Riedel, Faloutsos et al. - 1998
70 Active disks: Programming model (context) - Acharya, Uysal et al. - 1998
67 Detecting coarsegrain parallelism using an interprocedural p.. - Hall, Amarasinghe et al. - 1995
67 ACM Transactions on Computer Systems (context) - Corbett, Feitelson et al. - 1996
57 intensive parallel applications (context) - Acharya, Uysal et al. - 1996
57 Declustering using fractals - Faloutsos, Bhagwat - 1993
51 Marching cubes: a high resolution 3D surface reconstruction .. (context) - Lorensen, Cline - 1987
47 Runtime support and compilation methods for user-specified i.. - Ponnusamy, Saltz et al. - 1995 ACM DBLP
47 Titan: A high performance remote-sensing database - Chang, Moon et al.
45 Digital dynamic telepathology - the Virtual Microscope - Afework, Beynon et al.
43 A case for intelligent disks (context) - Keeton, Patterson et al. - 1998
38 ISTORE: Introspective storage for data-intensive network ser.. (context) - Brown, Oppenheimer et al. - 1999
38 Infrastructure for building parallel database systems for mu.. - Chang, Ferreira et al. - 1999 ACM DBLP
34 Disk-directed I/O for MIMD multiprocessors - Kotz ACM DBLP
33 ACDS: Adapting computational data streams for high performan.. - Isert, Schwan DBLP
29 Coupling multiple simulations via a high performance customi.. (context) - Kurc, Sussman et al. - 1999 DBLP
24 DataCutter: Middleware for filtering very large scientific d.. - Beynon, Ferreira et al. DBLP
23 Hypergraph-partitioning based decomposition for parallel spa.. - Catalyurek, Aykanat - 1999
22 Parallel accelerated isocontouring for out-of-core visualiza.. - Bajaj, Pascucci et al. ACM
20 Scalability analysis of declustering methods for multidimens.. - Moon, Saltz - 1998 ACM DBLP
17 dQUOB: Managing large data flows using dynamic embedded quer.. - Plale, Schwan - 2000
15 Querying very large multi-dimensional datasets in ADR - Kurc, Chang et al. ACM
14 Object-relational queries into multi-dimensional databases w.. - Ferreira, Kurc et al. - 1999
14 User's guide to the CE-QUAL-ICM three-dimensional eutrophica.. (context) - Cerco, Cole - 1995
11 Dynamic function placement in active storage clusters - Amiri, Petrou et al. - 1999
11 Performance impact of proxies in data intensive client-serve.. - Beynon, Sussman et al. ACM DBLP
10 Optimizing execution of component-based applications using g.. - Beynon, Kurc et al.
9 Improving compiler and run-time support for irregular reduct.. - Han, Tseng - 1998
8 Optimizing retrieval and processing of multi-dimensional sci.. - Chang, Kurc et al. - 2000 ACM DBLP
8 A hypergraphbased workload partitioning strategy for paralle.. - Chang, Kurc et al. - 2001
7 PARSIMONY: An infrastructure for parallel multidimensional a.. (context) - Goil, Choudhary - 2001
6 Armada: A parallel file system for computational (context) - Oldfield, Kotz
6 Performance optimization for data intensive grid application.. (context) - Beynon, Sussman et al.
4 ADCIRC: An advanced three-dimensional circulation model for .. (context) - Luettich, Westerink et al.
3 A distributed parallel storage architecture and its potentia.. - Johnston, Tierney - 1995
2 Visualization of large datasets with the Active Data Reposit.. (context) - Kurc, Catalyurek et al. - 2001
2 Improving the performance and functionality of the virtual m.. (context) - Catalyurek, Kurc et al. - 2001
2 Improving the performance and functionality of the Virtual M.. (context) - Catalyurek, Kurc et al. - 2001
2 Largescale data visualization using parallel data streaming (context) - Ahrens, Brislawn et al. - 2001
2 Parallelization of irregular codes including out-of-core dat.. - Brezany, Choudhary et al. DBLP
2 IEEE Computer Graphics and Applications (context) - Farias, Silva et al. - 2001
2 Fast algorithms for removing atmospheric effects from satell.. (context) - Fallah-Adl, J'aj'a et al. - 1996 ACM
1 Compiling object-oriented data intensive applications - Ferreira, Agrawal et al. ACM DBLP
1 Decision tree construction for data mining on clusters of sh.. - Andrade, Kurc et al.
http://www.gridforum.org
http://www.cca-forum.org
Documents on the same site (http://www.cs.umd.edu/~renato/resume.html):
Data Parallel Language and Compiler Support for Data.. - Ferreira, Agrawal, Saltz (Correct)
Compiling Data Intensive Applications with Spatial Coordinates - Ferreira, Agrawal, Jin (2000) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC