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2. Today's Discussion
Introduction
Advantages of parallel computing
Examples of parallel computing
What’s next for parallel computing?

3. 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.
Contd..

4. 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.
Contd..

6. 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) .

7. Our circumstances are not dramatic. Events don't take place
sequentially, waiting for one to end before the next one begins.
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) .
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.
Modelling the Real World with Parallel Computing
Saves Time
Contd..

8. 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 operations—like
bank software, for example—we observe enormous cost savings
(Hockney & Jesshope, 2019) .
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.
Saves Money
Solve more difficult or substantial challenges
Contd..

9. Parallel computing will improve technological progress (Van de Ven &
Tolias, 2019).
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.
Leverage Remote Resources

10. 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.
Contd..

11. 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.
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) .
Smartphones
Laptops and Desktops
Contd..

12. 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 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.
Bitcoin
The Internet of Things (IOT)
Contd..

13. 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).
Parallel Computing Toolbox

15. What’s 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..

16. 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.
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