Benefits Of Parallel Computing – Tutors India

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Today's Discussion
Introduction Advantages of parallel
computing Examples of parallel computing Whats
next for parallel computing?
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Introduction
Multiple computer processors are used in
parallel computing to tackle various operations
at once. Parallel architecture, as contrast to
serial computing, can divide a task into its
component components and multitask
them. Modelling and simulating real-world
phenomena is a good use for parallel computer
systems.
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Digital processes would've been tedious to say
the least without parallel computing. Each task
would need far more time if your iPhone or laptop
could only perform one action at once. Consider
the smartphones from 2010 to gain an
understanding of the speed (or lack thereof) of
serial computing. Serial processors were used in
both the iPhone 4 and Motorola Droid. On your
phone, opening an email could take up to 30
seconds, which feels like an eternity in the
here and now.
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Advantages of parallel computing
The benefits of parallel computing include
faster "big data" processing and more effective
code execution, which can save time and money.
By utilising greater resources, parallel
programming can also resolve more challenging
issues. That is beneficial for applications
ranging from enhancing solar power to altering
the way the banking sector operates (Wang et
al., 2019) .
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Modelling the Real World with Parallel Computing
Our circumstances are not dramatic. Events don't t
ake sequentially, waiting for one to end before
the next one begins.
place
We need parallel computers to perform data
analysis on data points related to the traffic,
weather, finance, agriculture, industry, oceans,
healthcare, and ice caps (Lepikhin et al., 2020)
. Saves Time Fast processors must perform
inefficiently due to serial computing. It's like
using a Ferrari to transport 20 oranges at a time
from Maine to Boston. No of how quickly one
automobile can go, doing so is less efficient
than combining the deliveries into a single
journey.
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Saves Money
Parallel computing reduces costs by speeding up
processes. On a small scale, the benefits of
resource use that is more efficient might not
seem significant. However, when a system is
scaled out to billions of operationslike bank
software, for examplewe observe enormous cost
savings (Hockney Jesshope, 2019) . Solve more
difficult or substantial challenges Technology is
developing. A single web app may perform millions
of transactions per second using AI and big
data. Additionally, "grand problems" like
protecting cyberspace or lowering the cost of
solar energy will need for petaflops of computer
power.
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Parallel computing will improve technological
progress (Van de Ven Tolias, 2019).
Leverage Remote Resources Every day, people
produce 2.5 quintillion bytes of data. The number
25 has 29 zeros after it. Those numbers are
impossible for us to compute. Alternatively, is
it possible? Numerous computers with multiple
cores each can process many times more real-time
data simultaneously than a single serial
computer can by using parallel processing.
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Examples of parallel computing
The fact is that parallel computers have existed
since the early 1960s, even though you may be
reading this article on one. They are as compact
as the low-cost Raspberry Pi and as durable as
the Summit supercomputer, which is the most
potent machine in the world. Several
illustrations of how parallel processing powers
our environment is provided below.
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Smartphones
The dual-core processor in the iPhone 5 runs at
1.5 GHz. the six cores in the iPhone 11 Eight
cores make up the Samsung Galaxy Note 10. All
these smartphones are instances of parallel
processing. Laptops and Desktops Parallel
computing is exemplified by the Intel processors
that run the majority of contemporary computers.
The HP Spectre Folio and HP EliteBook x360's
Intel CoreTM i5 and Core i7 CPUs each have four
processing cores. The HP Z8, the most efficient
computer in the market, has 56 cores of
processing capability, enabling it to do
intricate 3D simulations or execute real-time
video editing in 8K footage (Meniailov et al.,
2020) .
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Bitcoin
The blockchain technology used by Bitcoin makes
use of several computers to validate
transactions. In the future years, blockchain
will be used for practically all financial
transactions. Without parallel processing,
Bitcoin and the blockchain cannot function. The
"chain" component of blockchain would disappear
in a future of serial computing. The Internet of
Things (IOT) The floodgates are open for our
everyday data flow with 20 billion gadgets and
more than 50 billion sensors.Traditional
computing is unable to keep up with the flood of
real-time telemetry data coming from the IoT,
which includes data from soil sensors, smart
automobiles, drones, and pressure sensors.
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Parallel Computing Toolbox
Programmers can maximise the performance of
multi-core devices with the help of MathWorks'
Parallel Computing Toolbox. Users of the Matlab
Toolbox can handle big data jobs that are too
complex for a single processor to
accomplish. Also, when considering parallel
computing, image processing is developing more
in the coming years. Image processing is the
process of enhancing an image and obtaining
important information from it. In many different
applications, image processing is becoming more
significant (Mochurad Shchur, 2021).
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Whats next for parallel computing?
Even if it's incredible, parallel computing may
have reached the limit of what conventional
processors can handle. Quantum computers have
the potential to greatly improve parallel
computations within the next ten years. Parallel
computing advances significantly with quantum
computing. Consider serial computing as doing
one thing at a time. Contd..
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An 8-core parallel computer can perform 8 tasks
concurrently. More operations could be performed
simultaneously by a 300-qubit quantum computer
than there are atoms in the universe. For any
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