For most customers Mistral is deployed in production to find bottlenecks and detect applications with really bad I/O patterns. However, Mistral can also be integrated into continuous integration and test frameworks as a service. This allows users and developers to opt-in for more detailed I/O profiling data.
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Mistral’s ability to eliminate bottlenecks is one of its key uses. Many IT managers struggle to ensure that users aren’t taking up too much bandwidth, which will slow down the performance of the cluster for everyone. Watch our video to see how Mistral can set usage limits.
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In the latest release of our Breeze and Mistral tool suites, the Ellexus team has included support for Intel MPI. MPI is a standardized and portable message passing interface used on parallel computing architectures. There are several implementations of the MPI standard, many of which are open
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Mistral is a lightweight tool that can be run in production, so you can run Mistral across all your unit tests to look for bad I/O patterns. The easiest way to do that is with a wrapper script that will let you toggle Mistral on and off
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Genomics pipelines can be really interested to monitor from an I/O perspective. They’re normally highly tuned, but – even so – real improvements can be made that can only be uncovered through I/O profiling. We decided to team up with Alces Flight to quickly create an HPC
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