CSC/ECE 506 Fall 2007/wiki1 6 r8e: Difference between revisions
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== Communication Architecture Background == | == Communication Architecture Background == | ||
Parallel computers must have two types of architectures. One of these is this computer architecture, or that of the individual processors that are interconnected. Each | Parallel computers must have two types of architectures. One of these is this computer architecture, or that of the individual processors that are interconnected. Each of these processors has an instruction set architecture and microarchitecture, or a system of computer organization at a very low level that make up the computer architecture. The second type of architecture that is needed for parallel computing is that of a commuincation architecture, or a way in which the individual processors can communicate and work together to do useful things, this includes synchronization among the processors. Also, the commuincation architecture is closely linked with the hardware of the parallel computer because the hardware must be able to accomodate the communication operations. | ||
== Parallel Programming Models == | == Parallel Programming Models == | ||
The communication architecture dictates communication operations that the user software is allowed to perform. Parallel programming models layout the framework for the way in which the communication operations take place. In the beginning of parallel computing a single programming model was used for one sytem. The hardware was constructed to support only the communication operations that the specific programming model used. However, As parallel computing became more widespread there has been a convergence of programming models. Many models have become integrated and have been used together. Many parallel programming models exist, the most common of which are described below. | |||
=== Shared Address Space === | === Shared Address Space === |
Revision as of 22:39, 5 September 2007
Communication Architecture Background
Parallel computers must have two types of architectures. One of these is this computer architecture, or that of the individual processors that are interconnected. Each of these processors has an instruction set architecture and microarchitecture, or a system of computer organization at a very low level that make up the computer architecture. The second type of architecture that is needed for parallel computing is that of a commuincation architecture, or a way in which the individual processors can communicate and work together to do useful things, this includes synchronization among the processors. Also, the commuincation architecture is closely linked with the hardware of the parallel computer because the hardware must be able to accomodate the communication operations.
Parallel Programming Models
The communication architecture dictates communication operations that the user software is allowed to perform. Parallel programming models layout the framework for the way in which the communication operations take place. In the beginning of parallel computing a single programming model was used for one sytem. The hardware was constructed to support only the communication operations that the specific programming model used. However, As parallel computing became more widespread there has been a convergence of programming models. Many models have become integrated and have been used together. Many parallel programming models exist, the most common of which are described below.
Shared address space programming can be understood best when related to a message or bulletin board. Anyone can post a message on this board, and anyone can read what others have written. The key to the shared address space model is the fact that all of the vital information is posted in shared locations that can be accessed by all.
Message Passing
Message passing machines convey information in a way similar to that of a phone call or a letter. There are very specific events that trigger the movement of information from a unique sender to a unique receiver.
Data Parallel
Data parallel programming is by far the most regulated of the three parallel programming models. In this type of programming work is carried out on different elements of a data set by different operators. Once all operations are finished information is exchanged among all, basically after the work is done a global data organization is performed.