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An interview with Todd Gamblin from the Lawrence Livermore National Laboratory about the Spack project, discussing his current research project along with his involvement in Spack.
Lawrence Livermore researchers and collaborators have combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.
By combining simulations with high-speed videos taken during the laser powder-bed fusion process, LLNL scientists were able to visualize the ductile-to-brittle transition in 3D-printed tungsten in real-time.
A flagship facility in the Advanced Simulation and Computing Program, Livermore Computing houses some of the world's fastest supercomputers accessible to ~3000 researchers. 
Computing advances the frontiers of computational science and delivers game-changing solutions to society’s biggest challenges in energy, environment, and national and global security. Our research and development activities are applications driven and are focused on LLNL programmatic objectives. 
