Topic: Software Build and Installation

This project aims to tackle the complexities of HPC software integration with dependency compatibility models, binary analysis tools, efficient logic solvers, and configuration optimization techniques.

LLNL computer scientist and Spack PI Todd Gamblin explains how the package manager works in this video from CppCon (C++ Conference). The video runs 6:53.

An interview with Todd Gamblin from the LLNL about the Spack project, discussing his current research project along with his involvement in Spack.

In this issue featuring LLNL's R&D 100 Award winners from 2019, software deployment is faster and easier with the Spack package management tool.

Elaine Raybourn interviews LLNL's Todd Gamblin about the Spack project's experience working remotely.

The Exascale Computing Project's Let's Talk Exascale podcast has a new episode featuring LLNL's Todd Gamblin, who talks about the package manager Spack. Episode 67 runs 5:54 and includes a transcript.

At SC19, there were Spack events each day of the conference. Spack is an open-source scientific software package manager for HPC environments, MacOS, and Linux platforms.

Three LLNL teams, including the Spack package manager, netted regional awards for technology transfer from the Federal Laboratory Consortium (FLC) last week.

Of the Lab's four R&D 100 Award winners for 2019, two are open-source software projects: SCR and Spack.

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

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

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

Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.

Livermore builds an open-source community around its award-winning HPC package manager.

Todd Gamblin leads the PAVE project, which develops performance data visualization techniques that are more intuitive for application scientists.