Our hardware enables discovery-level science. The unique, world-class, balanced environment we’ve created at LLNL has helped usher in a new era of computing and will inspire the next level of technical innovation and scientific discovery.
Livermore Computing (LC) delivers multiple petaFLOP/s of compute power, massive shared parallel file systems, powerful data analysis platforms, and archival storage capable of storing hundreds of petabytes of data. We support a broad range of diverse and dynamic computing architectures—Blue Gene/Q; our Linux clusters, some of the largest on the planet (with Zin being the biggest at 980 teraFLOP/s); visualization, high-memory, and big data machines (such as Apache Hadoop servers); and homogeneous and heterogeneous core architectures. We continually explore new architectures and technologies.
Our advanced technology systems, such as Sequoia, are used to run large-scale multiphysics codes in a production environment. Our advanced architecture systems explore technologies at scale with the intent that matured technology can be used as a basis to design future production resources.
We also specialize in deploying commodity technology systems, such as the Tri-Lab Linux Capacity Clusters. These systems leverage industry advances and open-source software standards to build, field, and integrate Linux clusters of various sizes.
LLNL has deployed dozens of very large Linux clusters since 2001. These clusters have commodity nodes, provide a common programming model, and implement similar cluster architectures. Hardware components are carefully selected for performance, usability, manageability, and reliability, and are then integrated and supported using a strategy that evolved from practical experience.
We also deploy specialized vis clusters and archival storage, as well as support and contribute to the development of the open-source Lustre parallel file systems. Lustre is mounted across multiple compute clusters and delivers high-performance, global access to data.
For configuration details of the more than 20 production compute platforms supported by LC, see our systems summary. Descriptions of a few of our computers are included below.