Lawrence Livermore National Laboratory

ExaFEL and CoPA: Rapid Imaging of Molecular Systems

Using CoPA tools, ExaFEL prevents computational data throughput from bottlenecking experimental progress in x-ray free electron laser facilities.

EQSIM and RAJA: Enabling Exascale Predictions of Earthquake Effects on Critical Infrastructure

Scientists can combine high-performance computing with geophysical and seismographic data from past events to simulate the physics of earthquakes

A Career Discussion with Tapasya Patki

The ECP has provided tremendous opportunities for young researchers to develop knowledge and relationships in the high-performance computing community

Building a Capable Computing Ecosystem for Exascale and Beyond

The Exascale Era is here.

LLNL’s Diachin takes helm of DOE’s Exascale Computing Project

Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1

Siting the El Capitan Exascale Supercomputer at Lawrence Livermore National Laboratory

Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.

Revisiting the CANcer Distributed Learning Environment (CANDLE) Project

The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.

WarpX Code Shines at the Exascale Level

The WarpX project is using supercomputers to develop the next generation of particle accelerators to propel science and applications.

Enabling Highly Accurate and Reliable Predictions of the Basic Properties of Materials

The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.

Enabling Cross-Project Research to Strengthen Math Libraries for Scientific Simulations

Project teams can improve the capabilities of math libraries, the foundation of scientific simulations, via cross-project research.

The Flux Supercomputing Workload Manager: Improving on Innovation and Planning for the Future

The Livermore Computing–developed Flux addresses challenges posed by complex workflows in scientific research that involve supercomputers.

The Flux Software Framework Manages and Schedules Modern Supercomputing Workflows

Flux manages and schedules scientific workflows to optimize computing and other resources and enable applications to run faster and better.

ECP and ALCF to Host Twitter Chat June 21

June 21 at 2 p.m. Eastern, ECP and the Argonne Leadership Computing Facility will host a Twitter Chat on the Extreme-scale Scientific Software Stack.

Exascale Computing Project Portfolio Presentation Videos

The Exascale Computing Project has made available a compilation of brief, high-level presentations about some of its project portfolios.

Ensuring the Exascale Ecosystem Lands Successfully at Energy Department Facilities

The Exascale Computing Project Software Deployment at Facilities project tests and verifies software functionality and efficiency.

Nextgov Article Conveys the Essence, Aims of Exascale Awareness Week

Writer Brandi Vincent on Nextgov hits the highlights of the recent Exascale Awareness Week leading up to Exascale Day, October 18, 2020.

More-Effective Medicines, Better Batteries, and Greater Control over 3D Parts Creation Could Come in the Era of Exascale Computing

The Exascale Computing Project is building scientific instruments for the gamut of computing devices to advance scientific knowledge and materials design and energy generation.

Special—ECP Leadership Discusses Project Highlights, Challenges, and the Expected Impact of Exascale Computing

Members of the Exascale Computing Project leadership team summarize the state of the project and delve into the major accomplishments.

Project will Enhance Livermore Computing Center in Preparation for Exascale

Lawrence Livermore National Laboratory recently announced that it had broken ground on its Exascale Computing Facility Modernization project.

Major Update of the MFEM Finite Element Library Broadens GPU Support

The Center for Efficient Exascale Discretizations (CEED) recently released version 4.1 of its MFEM finite element library, which introduces features important for the nation’s first exascale supercomputers.

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