|
Intel® MPI Library 3.2 is a multi-fabric message passing library
that implements the Message Passing Interface, v2 (MPI-2)
specification. It provides a standard library across Intel®
platforms that: |
 |
Focuses on making applications perform best on IA based
clusters |
|
Enables adoption of the MPI-2 functions as the customer needs
dictate
|
|
Delivers best in class performance for enterprise, divisional,
departmental and workgroup high performance computing
|
|
|
Intel® MPI Library 3.2 is available for Windows* or for Linux* in
all of the following packages |
|
Intel MPI Library 3.2 Free Runtime Environment for
pre-installation or redistribution
|
|
Intel MPI Library 3.2 Software Development Kit including
compilation tools, interface (static) libraries, debug libraries,
trace libraries, include files and modules, and test codes |
|
Intel® Cluster Toolkit 3.2 |
|
Intel® Cluster Toolkit Compiler Edition
3.2 |
|
Automatic application-specific performance tuning |
|
Faster startup and improved collective operation algorithms for
even more performance |
|
Greater scalability over sockets and shared memory |
|
Enhanced flexibility and control
over:
| - |
Shared memory segment size for ease-of-use |
| - |
OS, compiler, Python, and DAPL check for higher
scalability | |
|
Added support for:
| - |
Intel® Compiler 11.0 |
| - |
Microsoft Windows* HPC 2008 and Vista |
| - |
DAPL 2.0 | |
|
Loadable 3rd party process manager (PMI) libraries for tighter
integration with leading resource schedulers |
|
High performance MPI-2 implementation |
|
Linux and Windows support |
|
Interconnect independence |
|
Smart fabric selection |
|
Easy installation |
|
Free Runtime Environment |
|
Close integration with the Intel and 3rd party development
tools |
|
Internet based licensing and technical
support | |
Intel® MPI Library Supports
Multiple Hardware Fabrics
Whether you need to run TCP sockets,
shared memory, or one of many DAPL-based interconnects, including
InfiniBand, Myrinet*, and Quadrics, Intel® MPI Library covers all your
configurations by providing an accelerated universal, multi-fabric layer
for fast interconnects via the Direct Access Programming Library (DAPL)
methodology (Figure 1). Develop MPI code independent of the fabric,
knowing it will run efficiently on whatever fabric is chosen by the user
at runtime. |
Figure 1.
Intel® MPI Library and DAPL-based interconnects multi-fabric
functionality |
|
Intel MPI Library dynamically establishes the connection, but only when
needed, which reduces the memory footprint. It also automatically chooses
the fastest transport available. Memory requirements are also reduced by
several methods including a two phase communication buffer enlargement
capability which allocates only the memory space actually required.
The fallback to sockets at job startup avoids the chance of execution
failure even if the interconnect selection fails. This is especially
helpful for batch computing. And any products developed with Intel MPI
Library are assured run time compatibility since your users can download
Intel’s free runtime environment kit. Application performance can also be
increased via the large message bandwidth advantage from the optional use
of DAPL inside a multi-core or SMP node.
Supported fabrics include: |
|
Infiniband – Mellanox Technologies, Inc; Cisco Systems, Inc.;
Voltaire; Qlogic |
|
Myrinet* – Myricom, Inc. |
|
QsNet*, QsNetII – Quadrics, Ltd. |
|
NUMAlink™ – Silicon Graphics, Inc. |
|
10 GbE iWarp* Adapters – NetEffect |
|
Sockets interfaces including TCP/IP over Ethernet* and other
fabrics – Cisco Systems, Inc.; Intel; NetEffect; Dolphin
Interconnect Solutions, Inc.; and many other
vendors | |
|
The following table provides some common DAPL interfaces and links to
the latest drivers:
|
Intel® MPI Library 3.2
Interoperability
Standards Based
Intel® MPI Library 3.2 is based
on Argonne National Laboratory's MPICH-2 implementation and is targeted
toward industry-wide standardization of the MPI-2 ABI with maximum
performance. All MPI-1 features are supported, plus many MPI-2 features
including the following: |
|
Active target one-sided communication |
|
Passive target one-sided communication |
|
Generalized requests |
|
Full thread support |
|
File I/O | |
|
Simplified Integration with leading Linux Job
Schedulers
Intel MPI Library 3.2 can be easily integrated with: |
|
Platform LSF 6.1 and higher |
|
Altair PBS Pro* 7.1 and higher |
|
OpenPBS* 2.3 |
|
Torque* 1.2.0 and higher |
|
Parallelnavi* NQS* for Linux V2.0L10 and higher |
|
Parallelnavi for Linux Advanced Edition V1.0L10A and
higher |
|
NetBatch* 6.x and higher |
|
SLURM* 1.2.21 and higher |
|
Sun* Grid Engine* 1.6 and
higher
| |
|
Support for Process Managers
Intel MPI Library
automatically recognizes PMI extension support and provides backward
compatibility with older process managers.
Works with leading Linux Parallel Debuggers
Intel
MPI Library can be integrated at job startup or as a process attachment.
It also provides message queue browsing support and is interoperable
with: |
|
Intel® Debugger 9.1 and higher |
|
Allinea* Distributed Debugging Tool (DDT) 1.9.2 and
higher |
|
TotalView Technologies* TotalView* debugger 6.8 and
higher |
|
GNU* debuggers |
|
Valgrind* 3.2.3 (including suppression
rules) | |
|
Integrated Programming Environments |
|
Eclipse PTP* 1.0 GUI process launcher for Linux |
|
Microsoft Visual Studio 2005, 2008 and
.NET* | |
|
Tested interoperability with Intel compilers and other Intel®
Cluster Toolkit applications |
|
Intel® C++ or Fortran Compiler 9.1 and higher |
|
GNU Compilers 3.3 and higher |
|
Build and Runtime Linkage with Intel® Trace Analyzer and
Collector 7.2 (Linux and Windows) |
|
Intel® Math Kernel Library 9.1 and higher (Linux and
Windows) | |
Print
