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The goal of the Message Passing Interface is to establish a portable, efficient, and flexible standard for message passing that will be widely used for writing message passing programs.
As such, MPI is the first standardized, vendor independent, message passing library. The advantages of developing message passing software using MPI closely match the design goals of portability, efficiency, and flexibility.
The goal of this tutorial is to teach those unfamiliar with MPI how to develop and run parallel programs according to the MPI standard.
The primary topics that are presented focus on those which are the most useful for new MPI programmers. The tutorial begins with an introduction, background, and basic information for getting started with MPI.
Numerous examples in both C and Fortran are provided, as well as a lab exercise. However, these are not actually presented during the lecture, but are meant to serve as "further reading" for those who are interested.
This tutorial is ideal for those who are new to parallel programming with MPI. A basic understanding of parallel programming in C or Fortran is required. For those who are unfamiliar with Parallel Programming in general, the material covered in EC Introduction To Parallel Computing would be helpful.
By itself, it is NOT a library - but rather the specification of what such a library should be. MPI primarily addresses the message-passing parallel programming model: Simply stated, the goal of the Message Passing Interface is to provide a widely used standard for writing message passing programs.
The interface attempts to be: Originally, MPI was designed for distributed memory architectures, which were becoming increasingly popular at that time s - early s. MPI implementors adapted their libraries to handle both types of underlying memory architectures seamlessly. Today, MPI runs on virtually any hardware platform: Distributed Memory Shared Memory Hybrid The programming model clearly remains a distributed memory model however, regardless of the underlying physical architecture of the machine.
All parallelism is explicit: Reasons for Using MPI: Standardization - MPI is the only message passing library that can be considered a standard.
It is supported on virtually all HPC platforms. Practically, it has replaced all previous message passing libraries. Portability - There is little or no need to modify your source code when you port your application to a different platform that supports and is compliant with the MPI standard.
Performance Opportunities - Vendor implementations should be able to exploit native hardware features to optimize performance.
Any implementation is free to develop optimized algorithms. Most MPI programs can be written using a dozen or less routines Availability - A variety of implementations are available, both vendor and public domain.
Distributed memory, parallel computing develops, as do a number of incompatible software tools for writing such programs - usually with tradeoffs between portability, performance, functionality and price.
Recognition of the need for a standard arose. The basic features essential to a standard message passing interface were discussed, and a working group established to continue the standardization process.
Preliminary draft proposal developed subsequently. Working group meets in Minneapolis. Group adopts procedures and organization to form the MPI Forum. It eventually comprised of about individuals from 40 organizations including parallel computer vendors, software writers, academia and application scientists.
Supercomputing 93 conference - draft MPI standard presented. Final version of MPI Documentation for all versions of the MPI standard is available at: Although the MPI programming interface has been standardized, actual library implementations will differ. For example, just a few considerations of many: Which version of the MPI standard is supported?Unit 1 Tools of Geometry.
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