We are determining how to build future generations of supercomputers. We are actively exploring issues such as possible uses of persistent memory (non-volatile random access memory or NVRAM) and methods to reduce power consumption or to increase reliability while maintaining (or even reducing) cost and maintaining (or improving) performance. We are also closely interacting with industry through local initiatives and programs such as FastForward. Throughout these activities, we combine unique research capabilities with our prove track record of building and deploying reliable and productive large-scale systems. View content related to Hardware Architecture.
LLNL studies in networking and noise reduction suggest a better way to configure systems to enable cost-effective scalability and more consistent performance.
Livermore deploys an agile team of experts to help prepare simulation codes for exascale.
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.
Sequoia is one of the most efficient systems in the world for processing extremely vast (petabyte and exabyte-size) data sets.
LLNL’s Sequoia is ranked among the world’s most powerful supercomputers.
Cab is a large capacity computing resource shared by the M&IC and ASC programs for running small to moderate parallel jobs.