Topic: HPC Systems and Software

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

Performance analysis of parallel scientific codes is difficult. The HAC model allows direct comparison of data across domains with data viz and analysis tools available in other domains.

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

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.

This tool that automatically diagnoses performance and correctness faults in MPI applications. It identifies abnormal MPI tasks and code regions and finds the least-progressed task.

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.

These techniques emulate the behavior of anticipated future architectures on current machines to improve performance modeling and evaluation.

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

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

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

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

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.

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.

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