I/O, Networking, and Storage
Disk- and tape-delivered I/O bandwidths are being rapidly outpaced by capacity increases, which means valuable processor time is being wasted while waiting for data delivery. For extreme-scale machines to be productive, bandwidth challenges throughout the entire I/O stack must be addressed. We’re working on techniques and technologies that leverage node-local or near-node storage, refactor parallel file systems, and evolve tertiary storage software to enable efficient extreme-scale computing environments. View content related to I/O, Networking, and Storage.
Olga Pearce studies how to detect and correct load imbalance in high performance computing applications.
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.
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.
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.”