Parallel Processing
Understanding multiprocessor systems and architectures
Introduction
Parallel processing involves the simultaneous execution of multiple tasks or processes to improve computational performance and efficiency.
Parallel Architectures
Types of parallel architectures:
- Shared Memory Systems
- Symmetric Multiprocessing (SMP)
- Non-Uniform Memory Access (NUMA)
- Distributed Memory Systems
- Cluster Computing
- Grid Computing
Parallel Processing Models
Common parallel processing models:
- SIMD (Single Instruction, Multiple Data)
- Vector Processors
- GPU Computing
- MIMD (Multiple Instruction, Multiple Data)
- Multiprocessors
- Multicomputers
Parallel Programming
Key aspects of parallel programming:
- Thread Management
- Process Synchronization
- Load Balancing
- Communication Patterns
- Parallel Algorithms
Important Concepts
Key aspects of parallel processing:
- Amdahl's Law
- Gustafson's Law
- Parallel efficiency
- Scalability
- Fault tolerance