Parallel processing involves using multiple processors simultaneously to solve computational problems. It breaks problems into discrete parts that can be solved concurrently. Examples include multicore processors and hyper-threading CPUs. Benefits include reduced time, ability to solve larger problems, cost savings, and concurrency. Vector processors operate on arrays of data called vectors to improve performance of numerical simulations. SIMD (Single Instruction Multiple Data) architecture executes the same instruction on multiple data elements at once using multiple processing units with a single control unit. Intel introduced MMX as an early SIMD instruction set, allowing single instructions to process multiple data simultaneously. The main advantage of SIMD is improved performance from processing multiple data elements concurrently, while disadvantages include larger register sizes, higher power consumption

1. Parallel Processing
& SIMD Architecture
Muhammad Anas
Muhammad Abuzar
Muzammil Ahmad

2. PARALLEL PROCESSING

3. Parallel Processing
• Simultaneous use of multiple computing resources to solve a
computational problem by the use of multiple CPUs
• Problem is broken down into discrete parts that can be solve
concurrently
• Use to fulfill increasing demands for higher performance

4. Parallel Processing

5. Examples of Parallel Processing
• An Operating System running on the multicore processor is
an example of the parallel operating system
• Windows 7, 8, 10 are examples of operating systems which
do parallel processing
• Most modern CPUs exhibit parallel processing via the
concept of hyper-threading

6. Why Use Parallel Computing
• Saves Time
• Solves Larger Problems
• Cost Saving
• Provides Concurrency

7. Vector Processing
• In Computing, a vector processor or array processor is a central
processing unit (CPU) that implements an instruction set containing
instructions that operate on one-dimensional array of data called
vectors
• Vector Processors can greatly improve performance on certain
workloads, notably numerical simulation
• Two Popular Architectures :
SIMD & MIMD

8. SIMD (Single Instruction Multiple Data Stream)
• All Processing units execute the same instruction at any given
clock cycle
• Each processing unit operates on a different data element
• They have multiple processing/execution units and one control
unit

9. SIMD (Single Instruction Multiple Data Stream)

10. SIMD & INTEL
• MMX is a single-instruction, multiple data (SIMD) instruction set
designed by Intel
• Introduced in 1997 with its P5-Based Pentium line of microprocessors,
designated as “Pentium with MMX Technology”
INTEL MMX
PROCESSOR

11. Advantages of SIMD
• The main advantage of SIMD is that processing multiple data
elements at the same time, with a single instruction, can
dramatically improve performance
• If the SIMD system works by loading up eight data points at
once, the add operation being applied to the data will
happen to all eight values at the same time.

12. Disadvantages of SIMD
• Major Disadvantages of SIMD are as follows:-
1. Large Register Size
2. More Powerful Consumption
3. Requires Large Chip Area

13. ASSALAMA LAIKUMMMM
ANY QUESTIONS?