Topic: Open-Source Software

Follow along at your own pace through tutorials of several open-source HPC software projects.

Specialized hardware modules and software libraries to optimize memory access while simultaneously increasing memory capacity for data-intensive applications.

An optics element team and two open-source software teams (UMap and UnifyFS) are LLNL's winners of this year's awards.

This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.

LLNL’s HPC capabilities play a significant role in international science research and innovation, and Lab researchers have won 10 R&D 100 Awards in the Software–Services category in the past decade.

With SCR, jobs run more efficiently, recover more work upon failure, and reduce load on critical shared resources.

Collecting variants in low-level hardware features across multiple GPU and CPU architectures.

zfp is an open-source C/C++ library for compressed floating-point and integer arrays that support high throughput read and write random access.

Two LLNL teams have come up with ingenious solutions to a few of the more vexing difficulties. For their efforts, they’ve won awards coveted by scientists in the technology fields.

Bugs, broken codes, or system failures require added time for troubleshooting and increase the risk of data loss. LLNL has addressed failure recovery by developing the Scalable Checkpoint/Restart (SCR) framework.

Release the codes! With a dynamic developer community and a long history of encouraging open-source software, LLNL has reached quadruple-digit GitHub offerings.

Learn how to use a modern, open-source HPC software stack! Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.

UMap uniquely exploits the prominent role of complex memories in today’s servers and offers new capabilities to directly access large memory-mapped datasets.

This open-source file system framework accelerates hierarchical HPC I/O operations with effective, efficient use of node-local storage.

Discover how the software architecture and storage systems that will drive El Capitan’s performance will help LLNL and the NNSA Tri-Labs push the boundaries of computational science.

LLNL researchers have achieved a milestone in accelerating and adding features to complex multiphysics simulations run on GPUs, a development that could advance HPC and engineering.

Backed by Spack’s robust functionality, the Packaging Working Group manages the relationships between user software and system software.

PERM is a 'C' library for persistent heap management and is intended for use with a dynamic-memory allocator (e.g. malloc, free).

MuyGPs helps complete and forecast the brightness data of objects viewed by Earth-based telescopes.

The MFEM virtual workshop highlighted the project’s development roadmap and users’ scientific applications. The event also included Q&A, student lightning talks, and a visualization contest.

LLNL is participating in the 35th annual Supercomputing Conference (SC23), which will be held both virtually and in Denver on November 12–17, 2023.

Merlin is an open-source workflow orchestration and coordination tool that makes it easy to build, run, and process large-scale workflows.

Quandary is an open-source C++ package for optimal control of quantum systems on classical high performance computing platforms.

Tammy Dahlgren has worked on a variety of projects at the Lab, including supervisory control systems for the National Ignition Facility, animal disease modeling, mass hierarchical storage systems, RADIUSS, and more.

The Center for Efficient Exascale Discretizations has developed innovative mathematical algorithms for the DOE’s next generation of supercomputers.