Topic: HPC Systems and Software

The NNSA’s first exascale supercomputer, El Capitan, will have a peak performance of more than 1.5 exaflops (1.5 quintillion calculations per second) and an anticipated delivery in late 2022.

Highlights include perspectives on machine learning and artificial intelligence in science, data driven models, autonomous vehicle operations, and the OpenMP standard 5.0.

Supercomputers have always been at the forefront of cooling technologies, with their high-power densities demanding careful attention. An LLNL team is upgrading facilities for exascale supercomputers.

LLNL is home to several supercomputers, including Sierra, the world's second fastest. PCMag stopped by to find out how these computers handle virtual nuclear weapons tests and weather modeling.

FGPU provides code examples that port FORTRAN codes to run on IBM OpenPOWER platforms like LLNL's Sierra supercomputer.

LLNL’s Lassen joined Sierra in the top 10 of the TOP500 list of the world’s most powerful supercomputers, announced at the 2019 International Supercomputing Conference in Frankfurt, Germany.

Next-generation computing systems are projected to surpass the speed of today's supercomputers by 5–10 times. This article explains OpenMP-relevant initiatives under the Exascale Computing Project.

LLNL heads to the ISC High Performance Conference (ISC19) in Frankfurt, Germany, on June 16 to 20.

The RADIUSS (Rapid Application Development via an Institutional Universal Software Stack) project aims to lower cost and improve agility by encouraging adoption of our core open-source software products for use in institutional applications.

LLNL's Ian Lee discusses the importance of open-source software and cloud computing for HPC centers and government agencies.

The 2019 Department of Energy (DOE) Performance, Portability and Productivity meeting is slated for April 2–4, 2019, in Denver, CO, where attendees will have the opportunity to share ideas and updates on performance portability.

In this video from the 2019 Stanford HPC Conference, LLNL's Todd Gamblin presents "Spack – A Package Manager for HPC."

In this video from the 2019 Stanford HPC Conference, LLNL's Rob Neely presents "Sierra – Science Unleashed." Sierra is NNSA’s first large-scale production heterogeneous system.

Umpire is a resource management library that allows the discovery, provision, and management of memory on next-generation architectures.

Profile of LLNL's Lori Diachin, who has over 25 years experience in applied mathematics research including mesh quality improvement, mesh component software, numerical methods, and parallel computing.

Computer scientist Greg Becker contributes to HPC research and development projects for LLNL’s Livermore Computing division.

Highlights include debris an shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.

Users need tools that address the bottlenecks of exascale machines, work seamlessly with the programming models on the target machines, scale to the full size of the machine, provide the necessary automatic analysis capabilities, and be flexible and modular enough to overcome the complexities and changing demands of exascale architectures.

This open-source file system framework supports hierarchical HPC storage systems by utilizing node-local burst buffers.

Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.

As supercomputing power increases, the cost of communicating data both on- and off-node has become a critical factor affecting the overall performance of a parallel application. Livermore's interconnection networks projects improve the communication and overall performance of parallel applications using interconnect topology-aware task mapping.

The PRUNERS Toolset offers four novel debugging and testing tools to assist programmers with detecting, remediating, and preventing errors in a coordinated manner.

Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.

LLNL's Advanced Simulation Computing program formed the Advanced Architecture and Portability Specialists team to help LLNL code teams identify and implement optimal porting strategies.

BLT software supports HPC software development with built-in CMake macros for external libraries, code health checks, and unit testing.