We harness the power of high performance computing (HPC) through scalable, cost-effective, specialized environments from computers to buildings and facilities. Because computing is integral to most LLNL missions, we must predict and develop the HPC advances necessary to meet mission and user needs. Livermore Computing (LC) is home of the computational infrastructure that supports the advancement of HPC capabilities.
Hardware at the Edge of the Possible
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.
LC delivers well over 100 petaflops 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 to address multiple missions and security levels.
Advanced Technology Systems
Our advanced technology systems, such as the National Nuclear Security Administration’s Sierra supercomputer and its early access and unclassified sister machines, 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 will also be home to NNSA's first exascale system, El Capitan. El Capitan will perform complex and increasingly predictive modeling and simulation for NNSA’s vital Life Extension Programs (LEPs), which address weapons aging and emergent threat issues in the absence of underground nuclear testing.
Preparatory work is well underway through the Exascale Computing Facilities Modernization project, the pending arrival of El Capitan's Early Access systems, and continuing work on helping LLNL codes to work efficiently on this new architecture.
We deploy commodity technology systems in a wide range of sizes, suited to a variety of scientific workflows. These systems leverage industry advances and open-source software standards and many are customized with large memory nodes, GPUs, or other accelerators. These clusters are modular in nature and they provide a common programming model. 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. LLNL has deployed dozens of very large Linux clusters since 2001—some of the largest on the planet—with Ruby currently being or highest CPU-only cluster on the Top500 list at nearly 6 petaflops. The 291-node Corona cluster has two generations of GPUs and a peak rate of CPU+GPU of 11.3 petaflops.
We also deploy specialized visualization, high-memory, and big data machines and artificial intelligence accelerators, two such systems are the SambaNova accelerator for Corona and the Cerebras chip integrated into Lassen.
For more on our work with these promising new technologies, click the Emerging Architectures topic here or on any related project, news article, or people highlight.
File Systems and Storage
Our archival storage, including the world’s largest TFinity tape archive, is massive, storing nearly 150 petabytes of data. We also 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.
HPC Software Leadership
Graphics and visualization
Turning raw data into understandable information is a fundamental requirement for scientific computing. LC manages an array of visualization options, including in-house developed tools, commercial products, and support and promotion of open standards and software. Visit LC’s visualization software page to learn more.
Much of our software leverages the collective expertise of the HPC ecosystem, making the cost of entry to HPC affordable. LLNL has developed and deployed open-source tools across the entire software stack—operating systems, resource management, performance analysis, scalable debugging, data compression, and more. Major initiatives like the Exascale Computing Project and the Advanced Simulation and Computing program rely on open-source software. Visit software.llnl.gov to learn more.
Proxy apps represent the HPC workload we care about while still being small enough to easily understand and try out new ideas. LLNL is one of several DOE labs building proxy apps to facilitate a two-way communication pipeline with vendors and researchers about how to evaluate trade-offs in future architectures and software development methods. Visit our proxy apps page to learn more.
LC supports several tools aimed at maximizing the efficiency of software deployment, platform management, and HPC center administration. Our resources include compilers, debuggers, memory checking, profiling and tracing, and Linux cluster management. Visit LC’s software pages to learn more.