 |
|
|
Home :: International :: Manuals :: Howto :: FAQ :: Man Pages :: Email Login |
Linux Parallel Processing HOWTO
Hank Dietz,
pplinux@ecn.purdue.edu
v980105, 5 January 1998
Parallel Processing refers to the concept of speeding-up the execution of a program by dividing the program into multiple fragments that can execute simultaneously, each on its own processor. A program being executed across N processors might execute N times faster than it would using a single processor. This document discusses the four basic approaches to parallel processing that are available to Linux users: SMP Linux systems, clusters of networked Linux systems, parallel execution using multimedia instructions (i.e., MMX), and attached (parallel) processors hosted by a Linux system.
1. Introduction
- 1.1 Is Parallel Processing What I Want?
- 1.2 Terminology
- 1.3 Example Algorithm
- 1.4 Organization Of This Document
2. SMP Linux
- 2.1 SMP Hardware
- 2.2 Introduction To Shared Memory Programming
- 2.3 bb_threads
- 2.4 LinuxThreads
- 2.5 System V Shared Memory
- 2.6 Memory Map Call
3. Clusters Of Linux Systems
- 3.1 Why A Cluster?
- 3.2 Network Hardware
- 3.3 Network Software Interface
- 3.4 PVM (Parallel Virtual Machine)
- 3.5 MPI (Message Passing Interface)
- 3.6 AFAPI (Aggregate Function API)
- 3.7 Other Cluster Support Libraries
- 3.8 General Cluster References
4. SIMD Within A Register (e.g., using MMX)
5. Linux-Hosted Attached Processors
6. Of General Interest
Next Previous Contents
|
|
|
Home :: Copyright :: Privacy :: Credits :: Get a free Linuxinfor Email Account Document on this page is part of "Linux Parallel Processing HOWTO". See Index Page for more info about Authorship and Copyright. Counter: 1999-2008 Linuxinfor.com. No rights reserved. |