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IPM : a dashboard for your batch job

IPM is supported by the National Science Foundation. Under award number 0721397. IPM is a portable profiling infrastructure for parallel codes. IPM has extremely low overhead, is scalable. And easy to use. Requiring no source code modification. It runs on Cray XT/XE, IBM Blue Gene, most Linux clusters using MPICH/OPENMPI, SGI Altix and some NEC machines. IPM is available under an Open Source software license (LGPL). It is currently installed on several Teragrid. And other supercomputing resources. IPM is...

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IPM : a dashboard for your batch job | ipm-hpc.org Reviews
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IPM is supported by the National Science Foundation. Under award number 0721397. IPM is a portable profiling infrastructure for parallel codes. IPM has extremely low overhead, is scalable. And easy to use. Requiring no source code modification. It runs on Cray XT/XE, IBM Blue Gene, most Linux clusters using MPICH/OPENMPI, SGI Altix and some NEC machines. IPM is available under an Open Source software license (LGPL). It is currently installed on several Teragrid. And other supercomputing resources. IPM is...
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IPM : a dashboard for your batch job | ipm-hpc.org Reviews

https://ipm-hpc.org

IPM is supported by the National Science Foundation. Under award number 0721397. IPM is a portable profiling infrastructure for parallel codes. IPM has extremely low overhead, is scalable. And easy to use. Requiring no source code modification. It runs on Cray XT/XE, IBM Blue Gene, most Linux clusters using MPICH/OPENMPI, SGI Altix and some NEC machines. IPM is available under an Open Source software license (LGPL). It is currently installed on several Teragrid. And other supercomputing resources. IPM is...

INTERNAL PAGES

ipm-hpc.org ipm-hpc.org
1

Documentation : install, use, develop

http://www.ipm-hpc.org/docs

How to download, compile, and install IPM. How to run with IPM and analyze results. More details for the curious and deveoper-minded.

2

Publications : IPM

http://www.ipm-hpc.org/publications

IPM gets most of its use in the production computing setting of making pplications codes run well. From time to time though we get to do some research on IPM and HPC topics themselves. In particular we're interested in topics like:. Moving from per task data to performance classification at high concurency. Atribution of causes of performance losses. Monitoring power and cooling demands at multiple levels. Providing advice about NUMA memory management. Nicholas J. Wright, Wayne Pfeiffer, and Allan Sn...

3

Demos : Everyone likes demos

http://www.ipm-hpc.org/demo

While IPM is mainly something you run along with your application code, it also provide web-based profiles and conduits to web-based interaction. Keep in mind that the examples below are just demonsrations and your use of IPM in batch will be somewhat different. See an IPM profile. Web based examples are given in the links below. Example 1 - GTC. Example 2 - WRF. Example 3 - MAESTRO. Run a toy-code online. Parsing the way you want.

4

Outreach : IPM

http://www.ipm-hpc.org/outreach

Feb 2012: Tools for Performance Debugging HPC Applications. David Skinner, UC Berkeley CS267. May 2009: IPM Online Tutorial at SDSC. June 2009: IPM tutorial at TeraGrid'09, Arlington Virginia. June 2009: Tutorial at the SciDAC meeting in San Diego, CA (June 2009): IPM SciDAC2009.pdf. Workshop on Productivity and Performance ( PROPER 2009. Tools for HPC Application Development at EuroPar 2009 Conference. In Delft, The Netherlands. In a cooperation with the Leibniz Computing Centre. Links, References, Misc.

5

Community : sharing HPC knowledge

http://www.ipm-hpc.org/community

How can you help? We're compiling a set performance profiles which connect the dots between performance issues that come from how codes are written as well as how they are run. You can help the HPC community organize and annotate information about codes and HPC machines by contributing your representative IPM application profiles. Click below to add knowledge about how performance happens. Contribute an IPM Application Profile. Click below to join the IPM email list. Subscribe to the IPM users email forum.

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Glenn K. Lockwood: February 2014

https://glennklockwood.blogspot.com/2014_02_01_archive.html

Glenn K. Lockwood. Personal thoughts and opinions of a supercomputing enthusiast. Tuesday, February 25, 2014. Quantum ESPRESSO: Performance Benefits of Vendor-Optimized Libraries. What this post ultimately illustrates is that you should never use the Netlib reference implementations of BLAS and LAPACK. Even Netlib says as much. The actual benchmark I used was the DEISA AUSURF112 benchmark. Problem with only one pool using 64 MPI processes. The two testing platforms were. 64 GB DDR3 SDRAM. 64 GB DDR3 SDRAM.

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Thursday, May 21, 2009. The week begin with a full-day, hand-on tutorial on programming the IBM cell processor. The tutorial was conducted by IBM and BSC. The. The traditional HPC programming paradigm - Fortran and C/ using the MPI message passing API - have no native support for accessing these accelerators. A number of different programming paradigm are competing to offer this functionality, but there is no clear leader among the candidates: Cell CDK, CUDA, OpenCL, OpenMP, CellSs. A few new things are ...

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IPM : a dashboard for your batch job

IPM is supported by the National Science Foundation. Under award number 0721397. IPM is a portable profiling infrastructure for parallel codes. IPM has extremely low overhead, is scalable. And easy to use. Requiring no source code modification. It runs on Cray XT/XE, IBM Blue Gene, most Linux clusters using MPICH/OPENMPI, SGI Altix and some NEC machines. IPM is available under an Open Source software license (LGPL). It is currently installed on several Teragrid. And other supercomputing resources. IPM is...

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