collecting highly parallel data
Parallel Data Input-Output
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29/09/2013, 11:20
... others.
Such simultaneous input/output of several-bit data is referred to as parallel data
input/output and the peripheral functions for parallel data input/output are
called "I/O ports", ...
Chapter 8
Parallel Data Input/Output
Although the programs described in Chapter 6 use the memory and
CPU registers only, this chapter explains how to input and output parallel data.
Among ... ports", which have registers and pins as shown in Figure 8.1.
Figure 8.1: Parallel Data Input/Output
Parallel data input/output using I/O ports are performed through
registers as shown...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P1 pdf
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... Introduction
Pipeline
Parallelism
Intraoperation Parallelism
(Parallel join)
Intraoperation Parallelism
(Parallel join)
Intraoperation Parallelism
(Parallel join)
Join
1
Table 1
Mixed Parallelism
Table ... From Databases To Data Warehousing To Data Mining:
A Journey
428
16.2. Data Mining: A Brief Overview 431
16.2.1. Data Mining Tasks 431
16.2.2. Querying vs. Mining 433
16.2.3. Parallelism in Data ... 10
1.4. Forms of Parallelism 12
1.4.1. Interquery Parallelism 13
1.4.2. Intraquery Parallelism 14
1.4.3. Intraoperation Parallelism 15
1.4.4. Interoperation Parallelism 15
1.4.5. Mixed Parallelism—A...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P2 docx
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... the
data is distributed evenly. Since the aim of parallel processing, especially parallel
database processing, is to achieve load balance in order to reduce the elapsed time
of a job, then this data ... local
searching method for parallel search algorithms.
It can be deduced from the local searching method above that parallelism in
the search algorithm is based on data parallelism, whereby parallelism is ... Describe the relationship between parallel databases and Grid databases.
1.10. Investigate your favourite Database Management Systems (DBMS) and outline what
kind of parallelism features have been...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P3 docx
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... work:
a. Parallel merge-all sort
b. Parallel binary-merge sort
c. Parallel redistribution binary-merge sort
d. Parallel redistribution merge-all sort
e. Parallel partitioned sort
4.4. Given a data ... present various
parallel sorting techniques, whereas Iyer and Dias (ICDE 1990) and DeWitt et al.
(1992) discuss systems issues in parallel database sorting.
Parallel sorting for databases uses ... of parallel external sort by basically considering the two factors mentioned
above.
4.3 ALGORITHMS FOR PARALLEL EXTERNAL SORT
In this section, five parallel external sort methods for parallel database...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P4 pptx
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... Chapter 6 Parallel GroupBy-Join
Cost Models for Phase One (Data Partitioning and Broadcasting
Phase)
The cost components in the first phase (data partitioning phase) consist of scan
cost, select data ... select data cost, finding destination cost, and data
transfer cost. These are presented in more detail as follows.
ž
Scan cost is the cost of loading data from local disk in each processor. Since
data ... structure is quite common in parallel
database systems, since parallel searching on the table partitioning attribute can
use the information on table partitioning, whereas parallel searching on the...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P5 pptx
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... the disjoint data partition-
ing first, followed by the three parallel algorithms for collection-equi join queries.
8.4.1 Disjoint Data Partitioning
The data partitioning method for parallel collection-equi ... in paralleliza-
tion of these search queries are examined. These are then followed by a complete
parallel algorithm.
Parallel Exact-Match Search Queries
There are three important factors in parallel ... are studied, particularly:
ž
Parallel collection-equi join algorithms,
ž
Parallel collection-intersect join algorithms, and
ž
Parallel subcollection join algorithms
Parallel join algorithms are...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P6 doc
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21/01/2014, 18:20
... using the parallel sort-merge nested-loop
algorithm.
8.6. Discuss why parallel collection-equi join uses a disjoint data partitioning, whereas the
other two parallel collection joins (i.e., parallel ... difference is that the data partitioning used in
parallel collection-intersect join algorithms is non-disjoint data partitioning, not
disjoint data partitioning.
8.5.1 Non-Disjoint Data Partitioning
Unlike ... scheduling is for incor-
porating parallelism scheduling into the query access plans. Parallelization models
High-Performance Parallel Database Processing and Grid Databases,
by David Taniar, Clement...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P7 ppt
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21/01/2014, 18:20
... distributed databases and parallel databases.
10.2. Outline the main differences between distributed databases and multidatabase
systems.
10.3. Discuss the suitability of parallel databases, distributed ... offered by distributed database systems are transparent data
access of physically distributed data, replicating the data at local sites for efficient
access, and fast processing of data by divide-and-conquer ... data resources.
Advanced scientific and business applications are data intensive. These applica-
tions are collaborative in nature, and data is collected at geographically distributed
sites. Databases...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P8 pptx
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21/01/2014, 18:20
... implement traditional ACPs in Grid environment. Grid
databases will access data from globally separated data sites via WWW. Most
of the distributed data architecture uses distributed objects for communication,
for ... synchronous distributed database sys-
tems cannot be implemented in Grid databases because of architectural lim-
itations (Grid databases are heterogeneous and asynchronous).
(2) Multidatabase systems, ... and multi-
database), and the recovery model for DBMS without global information (Grid
database).
Figure 12.8 shows the recovery model for an individual database site. The stable
database storage...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P9 pdf
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... an
operational database keeps data of current value. Figure 16.2 shows the transfor-
mation of data from operational data in a database into data warehousing data. The
process involves data extraction, ... to apply parallelism techniques to data mining processes. Therefore, the
focus of the two chapters on parallel data mining (Chapters 16 and 17) is twofold:
High-Performance Parallel Database ... deletions,
and insertions.
The bottom line of databases is that the data be active. The data contained in a
database is normally operational data. The data is required for day-to-day operation
of...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P10 pptx
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... input
data. More details about these two data mining parallelisms are given below.
Data Parallelism
In data parallelism, as the name states, parallelism is basically created because the
data is ... between data parallelism and result paral-
lelism in parallel clustering.
Data Parallelism Parallel
k
-Means
Like count distribution in parallel association rules and parallel sequential patterns,
data ... whereas in data parallelism
the data never moves out from a processor.
Another difference between data parallelism and result parallelism for parallel
clustering is that in result parallelism...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P11 doc
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... whereas result parallelism is identical to parallel subqueries execution
scheduling. Both data parallelism and result parallelism for a decision tree are
described below.
Data Parallelism for ... subqueries
execution scheduling and parallel subqueries execution scheduling, whereas for
parallel data mining, this chapter introduces data parallelism and result paral-
lelism. A parallel decision tree ... www.verypdf.com to remove this watermark.
17.3 Parallel Classification 489
scheduling and parallel data mining, because both deal with tree parallelism. Data
parallelism for a decision tree is basically...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P12 ppt
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... 430
data mining tasks, 431–433
descriptive data mining, 431
predictive data mining, 431
data parallelism, 437–438
data warehouse, 429
data- intensive applications, 428
definition, 430
from databases ... Handling Data Skew in
Parallel Data Cube Computation”, Distributed and Parallel Databases, 13(2):181–202,
2003.
Märtens, H., Rahm, E., and Stöhr, T., “Dynamic query scheduling in parallel
data warehouses”, ... (CUME
DIST)
queries, parallelization, 419–420
Data computation cost, 46
Data distribution-based parallelism
for association rule mining, 450
Data mining, parallel data mining
association rules, 427–463
class...
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Tài liệu High-Performance Parallel Database Processing and Grid Databases- P13 doc
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... 430
data mining tasks, 431–433
descriptive data mining, 431
predictive data mining, 431
data parallelism, 437–438
data warehouse, 429
data- intensive applications, 428
definition, 430
from databases ... Handling Data Skew in
Parallel Data Cube Computation”, Distributed and Parallel Databases, 13(2):181–202,
2003.
Märtens, H., Rahm, E., and Stöhr, T., “Dynamic query scheduling in parallel
data warehouses”, ... 38–39
data parameters, 34–35
query parameters, 37
systems parameters, 36
time unit costs, 37–38
parallel database, operations in, See
Databases, parallel
skew model, 39–43
Architectures, grid database,...
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