Topic: Fault Tolerance and Resilience

Computer scientist Kathryn Mohror is among LLNL's recipients of the Department of Energy’s Early Career Research Program awards.

Our researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,500 individual members.

In this issue featuring LLNL's R&D 100 Award winners from 2019, the versatile Scalable Checkpoint/Restart framework offers more reliable simulation performance.

This open-source file system framework supports hierarchical HPC storage systems by utilizing node-local burst buffers.

Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.

“If applications don’t read and write files in an efficient manner,” system software developer Elsa Gonsiorowski warns, “entire systems can crash.”

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.

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.

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.”