Software architectures in Parallel and Distributed Computing are designed to manage the complexity of parallel processing and the distribution of computations across multiple computing nodes.
Parallel Computing:
Parallel computing involves processing multiple tasks
simultaneously on multiple processors, known as parallel processing.
Hardware Architecture Types:
1) Single-instruction, single-data (SISD) systems
2) Single-instruction, multiple-data (SIMD) systems
3) Multiple-instruction, single-data (MISD) systems
4) Multiple-instruction, multiple-data (MIMD) systems
Distributed Computing:
Distributed computing involves software components
spread over different computers but functioning as a single entity
Architecture Types:
Client-Server Computing:
Allows separation, decomposition, and potential
distribution of system and application functionality.
Grid Architecture:
Connects computers that do not fully share resources,
operating more like a computing utility.
Peer-to-Peer Architectures:
Relies on the computing power and bandwidth of
participants without a central server-client structure.