Topic: HPC Systems and Software

MPI_T is an interface for tools introduced in the 3.0 version of MPI. The interface provides mechanisms for tools to access and set performance and control variables that are exposed by an MPI implementation.

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Cram lets you easily run many small MPI jobs within a single, large MPI job by splitting MPI_COMM_WORLD up into many small communicators to run each job in the cram file independently.

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libMSR provides a convenient interface to access Model Specific Registers and to allow tools to utilize their full functionality.

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A comprehensive understanding of the performance behavior of large-scale simulations requires the ability to compile, analyze, and compare measurements and contexts from many independent sources. Caliper, a general-purpose application introspection system, makes that task easier by connecting various independent context annotations, measurement services, and data processing services.

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Spindle improves the library-loading performance of dynamically linked HPC applications. It plugs into the system’s dynamic linker and intercepts its file operations so that only one process (or other small amount) will perform the file operations necessary and share the results with other processes in the job.

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PnMPI is a thin, low-overhead wrapper library that is automatically generated from mpi.h file and that can be linked by default.

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Veritas provides a method for validating proxy applications to ensure that they capture the intended characteristics of their parents.

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AutomaDeD is a tool that automatically diagnoses performance and correctness faults in MPI applications. It has two major functionalities: identifying abnormal MPI tasks and code regions and finding the least-progressed task. The tool produces a ranking of MPI processes by their abnormality degree and specifies the regions of code where faults are first manifested.

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Application-level resilience is emerging as an alternative to traditional fault tolerance approaches because it provides fault tolerance at a lower cost than traditional approaches.

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Working on world-class supercomputers at a U.S. national laboratory was not what Edgar Leon, a native of Mexico, envisioned when he began preparing for university.

People Highlight

To overcome the shortcomings of the analytical and architectural approaches to performance modeling and evaluation, we are developing techniques that emulate the behavior of anticipated future architectures on current machines.

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With SCR, jobs run more efficiently, recover more work upon failure, and reduce load on critical shared resources.

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Greg Lee helps develop tools designed to boost performance and productivity of Livermore scientists.

People Highlight

Olga Pearce studies how to detect and correct load imbalance in high performance computing applications.

People Highlight

Todd Gamblin leads the PAVE project, which develops performance data visualization techniques that are more intuitive for application scientists.

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Computer scientist Maya Gokhale appreciates the unpredictability and rapid pace of change in her chosen field. “You never know where computing is going to go, and that’s what’s exciting about it,” she says.

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Working extensively with open-source software such as Lustre and engaging with the broader open-source community is what computer scientist Chris Morrone enjoys most about his job, and it is one of the features that attracted him to LLNL in the first place.

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Kathryn Mohror develops tools that give researchers the information they need to tune their programs and maximize results. After all, says Kathryn, “It’s all about getting the answers more quickly.”

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