parallel processing
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• parallel processing
https://store.theartofservice.com/the-parallel-processing-toolkit.html
ALGOL 68 par: Parallel processing
1 ALGOL 68 supports programming of parallel processing. Using the keyword
par, a collateral clause is converted to a parallel clause, where the synchronisation of actions is controlled using semaphores. In A68G the parallel actions are mapped to threads when available on the hosting
operating system. In A68S a different paradigm of parallel processing was
implemented (see below).https://store.theartofservice.com/the-parallel-processing-toolkit.html
Computer engineering Computer systems: architecture, parallel processing, and dependability
1 Engineers working in computer systems work on research projects that allow for reliable, secure, and high-performance
computer systems. Projects such as designing processors for multi-threading and parallel processing are included in
this field. Other examples of work in this field include development of new
theories, algorithms, and other tools that add performance to computer systems.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Extract, transform, load - Parallel processing
1 A recent development in ETL software is the implementation of
parallel processing. This has enabled a number of methods to improve
overall performance of ETL processes when dealing with large volumes of
data.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
CPU time - CPU time and elapsed real time for parallel processing technology
1 If a program uses parallel processing, total CPU time for that program
would be more than its elapsed real time. (Total CPU time)/(Number of CPUs) would be same as elapsed
real time if work load is evenly distributed on each CPU and no wait is involved for I/O or other resources.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Parallel processing
1 'Parallel processing' is the ability to carry out multiple operations or tasks simultaneously. The term is used in
the contexts of both human cognition, particularly in the ability of the brain to simultaneously process
incoming stimuli, and in parallel computing by machines.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Parallel processing - Parallel processing by the brain
1 Parallel processing has been linked, by some experimental psychologists, to the Stroop
effect
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Parallel processing - Parallel processing in computers
1 Parallel computing is the simultaneous use of more than one Central processing unit|CPU or
processor core to execute a program or multiple computational threads. Ideally, parallel processing makes programs run
faster because there are more engines (CPUs or Cores) running it. In practice, it is often difficult to divide a program in such a way that separate CPUs or cores can execute different portions without interfering with
each other. https://store.theartofservice.com/the-parallel-processing-toolkit.html
Parallel processing - Parallel processing in computers
1 With single-CPU, single-core computers, it is possible to perform
parallel processing by connecting the computers in a network. However,
this type of parallel processing requires very sophisticated software
called distributed processing software.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Parallel processing - Parallel processing in computers
1 Parallel processing is also called parallel computing. In the quest of
cheaper computing alternatives parallel processing provides a viable
option. The idle time of processor cycles across network can be used
effectively by sophisticated distributed computing software.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Parallel processing - Parallel processing in computers
1 The term parallel processing is used to represent a large class of
techniques which are used to provide simultaneous data processing tasks
for the purpose of increasing the computational speed of a computer
system.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Data loading - Parallel processing
1 A development in ETL software is the implementation of parallel processing. This has enabled a number of methods to improve
overall performance of ETL processes when dealing with large volumes of
data.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
Shader - Parallel processing
1 Shaders are written to apply transformations to a large set of
elements at a time, for example, to each pixel in an area of the screen, or for every vertex of a model. This is well suited to parallel computing|
parallel processing, and most modern GPUs have multiple shader graphics pipeline|pipelines to facilitate this,
vastly improving computation throughput.https://store.theartofservice.com/the-parallel-processing-toolkit.html
Cube-connected cycles - Parallel processing application
1 Preparata and Vuillemin showed that a planar layout based on this
network has optimal areatimes;time2 complexity for many parallel
processing tasks.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
High Efficiency Video Coding - Parallel processing tools
1 * Tiles allow for the picture to be divided into a grid of rectangular
regions that can independently be decoded/encoded. The main purpose
of tiles is to allow for parallel processing. Tiles can be
independently decoded and can even allow for random access to specific
regions of a picture in a video stream.
https://store.theartofservice.com/the-parallel-processing-toolkit.html
High Efficiency Video Coding - Parallel processing tools
1 * Wavefront parallel processing (WPP) is when a slice is divided into rows of CTUs in which the first row is decoded normally
but each additional row requires that decisions be made in the previous row.
WPP has the entropy encoder use information from the preceding row of
CTUs and allows for a method of parallel processing that may allow for better
compression than tiles.https://store.theartofservice.com/the-parallel-processing-toolkit.html
Vertex shader - Parallel processing
1 Shaders are written to apply transformations to a large set of
elements at a time, for example, to each pixel in an area of the screen,
or for every vertex of a model. This is well suited to parallel computing|
parallel processing, and most modern GPUs have multiple shader graphics pipeline|pipelines to facilitate this,
vastly improving computation throughput.https://store.theartofservice.com/the-parallel-processing-toolkit.html
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