Computational Sciences/Simulation

Our research explores a number of different scientific simulation fields, most of which have particular significance to LLNL programs (e.g., high-energy-density physics). Other scientific simulation work showcases the Lab’s high performance computing capabilities in collaborative efforts with scientists at other institutions. View content related to Computational Sciences/Simulation.

LLNL’s Presence in HPC Shines Bright at SC19

The 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis—SC19—returned to Denver. Once again LLNL made its presence known as a force in supercomputing.

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LLNL-Led Team Awarded Best Paper at SC19 for Modeling Cancer-Causing Protein Interactions

The paper describes the workflow driving a first-of-its-kind multiscale simulation on predictively modeling the dynamics of RAS proteins and interactions with lipids.

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LLNL to Receive DOE Funding for New HPC4EI Projects

Twelve projects are awarded funding for the High Performance Computing for Energy Innovation Program, which leverages DOE’s HPC facilities to improve energy efficiency and manufacturing processes.

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No Shots in the Dark

At the National Ignition Facility, simulations help assess the risk of damage from target debris and shrapnel dispersal during high-energy laser shots.

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Successful Simulation and Visualization Coupling Proves the Power of Sierra

After years of preparation, LLNL’s upgraded Ares code runs a 98-billion-element simulation on 16,384 GPUs on the Sierra supercomputer.

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Looking Ahead to SC19

LLNL’s Computing Directorate will descend upon the 2019 Supercomputing Conference. Find us at tutorials, workshops, panels, poster/paper sessions (with a Best Paper finalist), and the Job Fair.

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Collaboration Drives Data Science Workshop

LLNL’s Data Science Institute hosted its second annual workshop with the University of California, emphasizing key challenges with machine learning and artificial intelligence in scientific research.

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Lab Wins Six Tech Commercialization Grants

LLNL researchers have posted another standout year securing major grants through the DOE's Technology Commercialization Fund, including one for the Radiation Field Training Simulator.

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Dirty Bomb Simulator Prepares Responders

Ryan Chen, LLNL data analyst and visualization technologist, has developed a model called the RDD Studio that provides a detailed simulation of an optimal response to a radiological dispersal device.

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HPC4Energy Innovation Program Announces First Awards for Public/Private Partnerships

The HPC4EI program announced 9 public/private projects awarded more than $2 million from the DOE. This program is the umbrella entity for the HPC4Mfg and HPC4Mtls programs, headed out of LLNL.

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