The document discusses the applications of parallel processing in engineering design, focusing on computational aerodynamics, artificial intelligence, and remote sensing. It highlights the impact of supercomputers on aircraft design simulations and the capability of intelligent I/O subsystems for various data processing tasks. The use of massively parallel processors is emphasized for managing large datasets, particularly in remote sensing for agricultural and environmental monitoring.

1. Applications of PARALLEL
PROCESSING computers in
Engineering design and
automation
Done by,
S.PRAVEENKUMAR,
BE-EEE,
PSG TECH.

2. Computational aerodynamics
• Large scale computers have made significant
contributions in providing new technologies to be
enrolled in aircraft and spacecraft lift and
turbulence studies.
• Every wind tunnel is limited by scale effects
attributed to the listed factors.

3. Experiments Vs simulations
• Whereas computer flow simulations have none of
the physical constraints, but have their own
computational speed and memory capacity.
• To overcome the limitations ,two gigaflops
supercomputers, known as, Numerical
Aerodynamic Simulation Facilities, have been
proposed by control data corporations.
• These are specialized machines capable of
simulating complete aircraft designs for both US
government and commercial aircraft companies.

4. Artificial intelligence and automation
• It is the intelligence exhibited by machines or
softwares.(i.e. computers emulate human
behaviour)
• By using intelligent I/O interfaces for directly
communicating with humans in images, speech
and functions.
• Since the I/O subsystems handling large amount
of data's and processing such data is not done
sequentially, so parallel computing is used.

5. Functions of I/O subsystems
• The new gen commuters possess highly
intelligent I/O subsystems capable of doing these
functions.
 Image processing
 Pattern recognisation
 Natural language processing
 Speech understanding
 Intelligent robotics
 Machine interference
 Knowledge and reasoning

6. Need
• The projected computing power of such
system is upto 100M to 1G logical inference
per second(LIPS).
• Time for execution of 1LIPS is equal to 1000
machine instructions.
• So the device should be able to execute
1mega million instructions/second.
• So to build such a super computer we depend
on parallel processing.

7. Remote sensing applications
• It includes remotely sensed data obtained
from satellites and radars.
• Consider, earth resource data obtained via
satellite it may includes huge amount of
pictorial information need to be processed
simultaneously.
• This data has tremendous applications in
agriculture, forestry, and water resource.

8. Reality
• A single frame of LANDSAT image contains
30M bytes.
• For a small village to be covered it takes 10
such images at a particular instant.
• For entire earth surface it produces such new
set of images for every 15 days.

9. Massively Parallel Processor
• To handle this tremendous data NASA has
ordered MPP for earth resource processing.
• This MPP has a peak computing rate of 6B 8-
bit integer operations per second.
• This provides real time, time varying scene
analysis.