Derived Field Generation
Livermore computer scientists have helped create a flexible framework that aids programmers in creating source code that can be used effectively on multiple hardware architectures.
Machine Learning
LLNL computer scientists use machine learning to model and characterize the performance and ultimately accelerate the development of adaptive applications.
InfiniBand
Livermore Computing staff is enhancing the high-speed InfiniBand data network used in many of its high performance computing and file systems.
How do supercomputers fit with strategies for sustainability?
Supercomputers broke the exascale barrier, marking a new era in processing power, but the energy consumption of such machines cannot run rampant.
A look back: Women in early computing at LLNL
LLNL’s archives recount the contributions of women who developed code during the Lab's early decades.
Video: Future exascale architectures (IPAM at UCLA)
UCLA's Institute for Pure & Applied Mathematics hosted LLNL's Erik Draeger for a talk about the challenges and possibilities of exascale computing.