Cab is a large capacity computing resource shared by the M&IC and ASC programs for running small to moderate parallel jobs.
We’re creating an LLNL commodity cluster system software environment based on Linux/Open-Source. We use the Red Hat Enterprise Linux distribution, stripping out the modules we don’t need and adding and modifying components as required. Working in open source allows for important HPC customizations and builds in-house expertise. Having in-house software developers is necessary to quickly resolve problems (especially at scale) on our cutting-edge hardware without having to wait for the vendors. The environment includes Linux kernel modifications, cluster management tools, monitoring and failure detection, resource management, authentication and access control, and parallel file system software (detailed elsewhere). These clusters provide users with a production solution capable of running MPI jobs at scale. View content related to System Software.
The 150 teraFLOP/s Catalyst, a unique high-performance computing (HPC) cluster, serves as a proving ground for new HPC and big data technologies.
Vulcan is one of the largest, most capable computational resources available in the United States for industrial collaborators.
Two LLNL-developed tools are aiding researchers in understanding and optimizing computational communication.
Computation’s spring Hackathon, held March 5 and 6 at the High Performance Computing Innovation Center, saw one of the biggest turnouts thus far, with 65 participants.
Less than two-millionths of a second elapse from the moment the initial laser burst is created to the completion of a typical high-energy-density science experiment at Livermore’s National Ignition Facility (NIF).
Computation’s latest 24-hour brainstorming session, known as a hackathon, drew 60 participants, both first timers and veterans.
Peter Robinson develops major infrastructure components and code development processes for ALE3D, a numerical simulation tool.
A centralized application notification system that captured first place at Computation’s March 2013 hackathon was recently implemented at LLNL’s National Ignition Facility.