[Swift-devel] Fwd: Release MRNET 2.0

[Ian Foster]

could potentially be relevant to BG/P work ...

Begin forwarded message:

> From: Barton Miller <bart at cs.wisc.edu>
> Date: July 14, 2008 11:35:50 AM CDT
> To: foster at mcs.anl.gov
> Subject: Release MRNET 2.0
>
> *********************************************************************
> *      Release 2.0 of the MRNet Multicast/Reduction Network         *
> *********************************************************************
>
> The new 2.0 release of MRNet is now available. This release of MRNet
> includes a source distribution for Unix/Linux and Windows platforms,
> plus pre-built binaries for Windows. The release also includes
> associated manuals.
>
> Improvements made to MRNet since version 1.2 have been incorporated  
> into
> version 2.0.
>
> MRNet is a customizable, high-performance software infrastructure for
> building scalable tools and applications.  It supports efficient
> multicast and data aggregation functionality using a tree of processes
> between the tool's front-end and back-ends.  MRNet-based tools may use
> these internal processes to distribute many important tool activities,
> for example to reduce data analysis time and keep tool front-end loads
> manageable.
>
> More information about MRNet, including downloads for binary and
> source, can be found at:
>    http://www.paradyn.org/mrnet
>
> Technical papers about MRNet can be found in the 'Middleware'  
> section at:
>    http://www.paradyn.org/html/publications-by-category.html
>
> The new features and fixes include:
>
> * Fault tolerance and recovery for internal MRNet node failures
> * Improved API for examining MRNet topology
> * New filter capabilities such as dynamic configuration
> * Improved memory management
> * Improved support for multi-threaded front-ends and back-ends
> * Updated examples, including a sample Makefile
> * Numerous bug fixes and enhancements
>
> MRNet is designed to be a highly-portable system. The source code has
> been compiled using both GNU GCC and native platform compilers. We
> have successfully tested MRNet components on the following platforms:
> - Linux: x86, x86_64, ia64, powerpc64
> - Solaris: sparc32, sparc64
> - AIX 5.2: rs6000
> - Windows: x86
>
> Please send questions or comments to paradyn at cs.wisc.edu

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