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Intel(R) MPI Library User's Guide for Linux* OS
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Introduction
Introducing Intel(R) MPI Library
Intended Audience
Conventions and Symbols
Related Information
Usage Model
Installation and Licensing
Installing Intel(R) MPI Library
Licensing for Intel(R) MPI Library Runtime Environment (RTO) and Intel(R) MPI Library Software Development Kit (SDK)
Compiling and Linking
Compiling a Simple Program
Adding Debug Symbols
Other Compilers Support
Running Applications
Running an Intel(R) MPI Program
Intel(R) MPI Library Configurations
Multi-threaded Applications
Selecting Fabrics
I_MPI_FABRICS
Debugging and Testing
GDB*: The GNU* Project Debugger
TotalView* Debugger
DDT* Debugger
Logging
I_MPI_DEBUG
Tracing an Application
Correctness Checking
Statistics Gathering
Testing the Installation
Compiling and Running a Test Program
Process Management
Selecting a Process Manager
Scalable Process Management System (Hydra)
Multipurpose Daemon* (MPD*)
Controlling MPI Process Placement
Tuning with mpitune Utility
Cluster-Specific Tuning
Application-Specific Tuning
Setting Time Limit
Setting a Fabrics List
Setting a Range for the Number of Processes
Setting a Limitation for Hosts Usage
Restoring mpitune from the Last Saved Session
Tuning Applications Manually
Job Schedulers Support
Altair* PBS Pro*, TORQUE*, and OpenPBS*
IBM* Platform LSF*
Parallelnavi NQS*
SLURM*
Oracle* Grid Engine*
SIGINT, SIGTERM Signals Intercepting
General Cluster Considerations
Defining which Nodes to Use
Password-less ssh Connection
Heterogeneous Systems and Jobs
Using the Intel(R) MPI Library with the Intell(R) Many Integrated Core (Intell(R) MIC) Architecture
Libraries
Multiple Cards
Using Intel(R) MPI Library on Intel(R) Xeon Phi(TM) Coprocessor
Building an MPI Application
Running an MPI Application