LLNL’s Center for Applied Scientific Computing (CASC) serves as the Lab’s window to the broader computer science, computational physics, applied mathematics, and data science research communities.
Achieving 50–100 times performance increase on real applications over today’s most powerful HPC platforms, such as Sierra, as quickly and energy efficiently as possible, will force fundamental changes in all computer components. To reach this goal—and to prepare for future exascale systems—we are developing new algorithms and tools that help researchers address these complexities and fully exploit the systems’ performance. We are also partnering with industry experts to develop well-coordinated solutions to hardware and software design challenges. View content related to Extreme Computing.
The first-ever LLNL Developer Day event included Lightning Talks, Deep Dives, a discussion panel, and plenty of snacks.
Livermore scientists are redesigning simulation software to leverage the capabilities of next-generation exascale computing.
CASC conducts world-class scientific research and development on problems critical to national security.
LLNL’s Advanced Simulation Computing (ASC) program formed the Advanced Architecture and Portability Specialists (AAPS) team to help LLNL code teams identify and implement optimal porting strategies, and to provide general guidance on best practices for exposing parallelism and managing data movement across memory layers.
Working on world-class supercomputers at a U.S. national laboratory was not what Edgar Leon, a native of Mexico, envisioned when he began preparing for university.
On November 14, 2014, Secretary of Energy Ernest Moniz announced that a partnership involving IBM, NVIDIA, and Mellanox was chosen to design and develop systems for Lawrence Livermore and Oak Ridge (ORNL) national laboratories. The LLNL system, Sierra, is the next advanced technology system sited at LLNL in the Advanced Simulation and Computing (ASC) Program’s system line that has included Blue Pacific, White, Purple, BlueGene/L, and Sequoia.
In “Supercomputing 101: A History of Platform Evolution and Future Trends,” Rob Neely traces the history of HPC as defined by the dominant platforms.
CNBC’s Nightly Business Report mentions how companies are starting to uses LLNL’s high performance computing resources to complete complex calculations.