Topic: Data Movement and Memory

A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.

Project

Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.

Project

Umpire is a resource management library that allows the discovery, provision, and management of memory on next-generation architectures.

Project

Highlights include debris an shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.

News Item

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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