Revisiting the Cancer Distributed Learning Environment (CANDLE) Project
WEDNESDAY, MAY 3, 2023
Podcast: LLNL contributes to CANDLE, an open-source collaboratively developed software platform that provides deep-learning methodologies for accelerating cancer research
WarpX Code Shine at the Exascale Level
TUESDAY, JANUARY 31, 2023
LLNL contributes to the Berkeley-led WarpX project, which is taking plasma accelerator modeling to new heights.
SUNDIALS and hypre: Exascale-Capable Libraries for Adaptive Time-Stepping and Scalable Solvers
TUESDAY, JANUARY 17, 2023
While both libraries have been around for decades, LLNL's SUNDIALS and hypre numerical libraries are seeing renewed algorithmic development with funding from ECP.
Advancing the Additive Manufacturing Revolution
WEDNESDAY, DECEMBER 21, 2022
LLNL contributes to ExaAM, a collection of optimized simulation codes that bring exascale power to predicting how entire metal parts can be 3D printed by industry.
EQSIM Shakes Up Earthquake Research at the Exascale Level
WEDNESDAY, DECEMBER 7, 2022
Earth engineers, seismologists, computer scientists, and applied mathematicians from Berkeley Lab and Livermore Lab form the multidisciplinary, closely integrated team behind EQSIM, which uses physics-based supercomputer simulations to predict the ramifications of an earthquake on buildings and infrastructure and create synthetic earthquake records that can provide much larger analytical datasets than historical, single-event records.
Discovering New Materials at Exascale Speeds
TUESDAY, NOVEMBER 8, 2022
LLNL computer scientists are part of the QMCPACK team, whose efforts have been put toward redesigning the open-source simulation code that promises unmatched accuracy in simulating materials to uncover their hidden properties.
Maintaining the Nation's Power Grid with Exascale Computing
THURSDAY, AUGUST 25, 2022
LLNL contributes to ExaSGD, and ECP effort to develop algorithms and techniques to address new challenges and optimize the grid's response to potential disruption events under a variety of weather scenarios
ECP Launches Programs to Extend DOE’s HPC Workforce Culture
TUESDAY, AUGUST 2, 2022
LLNL joins the broader ECP community to to address workforce needs in high-performance computing (HPC) at the DOE’s array of labs.
Enabling Cross-Project Research to Strengthen Math Libraries for Scientific Simulations
TUESDAY, MAY 3, 2022
An ECP podcast delves into math libraries, including MFEM, a Livermore-developed open-source C++ language library for finite element methods.
The Flux Supercomputing Workload Manager: Improving on Innovation and Planning for the Future
THURSDAY, FEB 24, 2022
LLNL computer scientists have devised an open-source, modular, fully hierarchical software framework called Flux that manages and schedules computing workflows to use system resources more efficiently and provide results faster.
Let’s Talk Exascale Code Development: Cancer Distributed Learning Environment (CANDLE)
TUESDAY, DEC 7, 2021
A podcast focusing on the computer codes used in a project called CANDLE (CANcer Distributed Learning Environment), which is addressing three significant science challenge problems in cancer research. LLNL is a collaborator on CANDLE.
Exascale Day Article: Early Access Systems at LLNL Mark Progress Toward El Capitan
FRIDAY, OCT 15, 2021
Though the arrival of the exascale supercomputer El Capitan at Lawrence Livermore National Laboratory is still almost two years away, teams of code developers are busy working on predecessor systems to ensure critical applications are ready for Day One.
Exascale Day Article: Powering Up: LLNL Prepares for Exascale with Massive Energy and Water Upgrade
FRIDAY, OCT 15, 2021
A supercomputer doesn’t just magically appear, especially one as large and as fast as Lawrence Livermore National Laboratory’s upcoming exascale-class behemoth El Capitan.
The Flux Software Framework Manages and Schedules Modern Supercomputing Workflows
MONDAY, SEP 13, 2021
A podcast delving into a software framework developed at Lawrence Livermore National Laboratory (LLNL), called Flux, which is widely used around the world. Flux enables science and engineering work that couldn’t be done before.
Exascale Computing Project Portfolio Presentation Videos
SATURDAY, MAY 15, 2021
Included among the project presentations is LLNL’s Kathryn Mohror’s talk on NNSA Software Technology.
Workflow Technologies Impact SC20 Gordon Bell COVID-19 Award Winner and Two of the Three Finalists
MONDAY, DECEMBER 21, 2020
LLNL’s Dan Laney discusses the incorporation of ExaWorks technologies into the workflows of the recent SC20 Gordon Bell COVID-19 submissions.
An Overview of the Exascale Computing Project
WEDNESDAY, SEPTEMBER 30, 2020
LLNL’s Lori Diachin (ECP Deputy Director) provides an overview of the DOE’s Exascale Computing Project for attendees of the Computing Directorate’s Virtual Expo.
Science at Exascale: The Art of Dealing with the Tension Between More and Less Data
SUNDAY, OCTOBER 11, 2020
LLNL’s Kathryn Mohror, Adam Moody, and Greg Kosinovsky (with Argonne collaborators) discuss the ECP VeloC-SZ project and two software technologies that support user needs concerning their scientific data.
Collaboration at Exascale
FRIDAY, OCTOBER 9, 2020
Ulrike Meier Yang provides a blog post about the advantages of working together to deliver advanced software and the necessary technical and scientific components.
Project Will Enhance Livermore Computing Center in Preparation for Exascale
THURSDAY, JUNE 25, 2020
LLNL recently announced that it had broken ground on its Exascale Computing Facility Modernization project, which will significantly expand the power and cooling capacity of the Livermore Computing Center to get it ready for next-generation exascale supercomputing hardware.
Major Update of the MFEM Finite Element Library Broadens GPU Support
MONDAY, JUNE 8, 2020
An interview with Tzanio Kolev about The Center for Efficient Exascale Discretizations (CEED) and the recently released version 4.1 of its MFEM finite element library, which introduces features important for the nation’s first exascale supercomputers.
Flexible Package Manager Automates the Deployment of Software on Supercomputers
TUESDAY, APRIL 28, 2020
A podcast with Todd Gamblin, a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL) and the creator of Spack, the deployment tool for the Exascale Computing Project’s (ECP) software stack and winner of a 2019 R&D 100 Award.
Reducing the Memory Footprint and Data Movement on Exascale Systems
THURSDAY, APRIL 16, 2020
A podcast with Peter Lindstrom, a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). Lindstrom manages all activities related to the ZFP project, which has been folded into ECP’s ALPINE in-situ visualization project. ZFP is a compressed representation of multidimensional floating-point arrays that are ubiquitous in high-performance computing.
Delivering Exascale Machine Learning Algorithm and Tools for Scientific Research
THURSDAY, MARCH 12, 2020
A podcast, including an interview with LLNL’s Brian Van Essen, who has implemented surrogate models using deep neural networks and the Sierra and Summit resources.
Optimizing Math Libraries to Prepare Applications for Exascale Computing
THURSDAY, JANUARY 2, 2020
A podcast featuring LLNL’s Ulrike Meier Yang, principal investigator of the xSDK4ECP project and lead of hypre’s ECP effort. Her expertise spans more than three decades in numerical algorithms, particularly linear system solvers, parallel computing, high-performance computing, and scientific software design.
R&D100 Award-Winning Software Enables I/O Performance Portability and Code Progress
FRIDAY, DECEMBER 6, 2019
A podcast featuring two LLNL researchers from the Exascale Computing Project (ECP) involved in the development of Scalable Checkpoint/Restart (SCR) Framework 2.0, Elsa Gonsiorowski and Kathryn Mohror, discuss what SCR is and does, the challenges involved in creating it, and the impact it is expected to have in high-performance computing.
Software Enables Use of Distributed In-System Storage and Parallel File System
THURSDAY, DECEMBER 5, 2019
LLNL’s Kathryn Mohror contributes to a podcast discussing UnifyFS and how it can provide I/O performance portability for applications, enabling them to use distributed in-system storage and the parallel file system.
First Annual Exascale Day Celebrates Discoveries on the Fastest Supercomputers in the World
WEDNESDAY, OCTOBER 2, 2019
LLNL is participating in the new National Exascale Day, a registered holiday to be celebrated annual on October 10.
Experts Weigh in on the Game-Changing Nature of Exascale Computing
SUNDAY, AUGUST 25, 2019
LLNL’s Lori Diachin is one of three experts featured in a Q&A by writer Mae Rice from the social network and blogging platform called Built In.
CANDLE Illuminates New Pathways in Fight Against Cancer
WEDNESDAY, AUGUST 14, 2019
An article on the U.S. Department of Energy (DOE) website written by Andrea Peterson takes a look at the CANcer Distributed Learning Environment (CANDLE), a cross-cutting initiative of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) collaboration that is supported by DOE’s Exascale Computing Project.
Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract
TUESDAY, AUGUST 13, 2019
DOE, NNSA, and LLNL have announced the signing of contracts with Cray Inc. to build the NNSA’s first exascale supercomputer, "El Capitan." El Capitan will have a peak performance of more than 1.5 exaflops (1.5 quintillion calculations per second) and an anticipated delivery in late 2022.
Robustly Delivering Highly Accurate Computer Simulations of Complex Materials
THURSDAY, JULY 18, 2019
LLNL is part of a team developing a QMC methods software named QMCPACK to find, predict, and control materials and properties at the quantum level. The ultimate aim is to achieve an unprecedented and systematically improvable accuracy by leveraging the memory and power capabilities of the forthcoming exascale computing systems.
CEED’s Impact on Exascale Computing Project (ECP) Efforts is Wide-Ranging
WEDNESDAY, JULY 17, 2019
The Center for Efficient Exascale Discretizations (CEED) is a research partnership involving more than 30 computational scientists from two DOE labs (Lawrence Livermore and Argonne) and five universities (the University of Illinois at Urbana-Champaign, Virginia Tech, the University of Colorado Boulder, the University of Tennessee, and Rensselaer Polytechnic Institute). Led by LLNL’s Tzanio Kolev, CEED is helping applications leverage future architectures by developing state-of-the-art discretization algorithms that better exploit the hardware and deliver a significant performance gain over conventional methods.
Offering More Detailed Simulations by Solving Problems Faster and at Larger Scales
TUESDAY, MAY 21, 2019
An LLNL team is preparing hypre to take advantage of the capabilities of the upcoming exascale computing systems. Specifically, the hypre project is delivering scalable performance on massively parallel computer architectures to positively impact a variety of applications that need to solve linear systems.
LLNL's Lori Diachin Receives High Performance Computing Industry Publication Honor
MONDAY, FEBRUARY 25, 2019
Lori Diachin, Computing's deputy associate director for science and technology, has been named one of the "People to Watch" in High Performance Computing (HPC) for 2019 by HPCwire, the online news service covering supercomputing. Diachin, who has served in numerous leadership positions in LLNL's Computing Directorate, is the deputy director for the Department of Energy's Exascale Computing Project (ECP).
Demonstrating In-Situ Computer Simulation Visualization and Analysis on Sierra
TUESDAY, JANUARY 8, 2019
ALPINE Ascent is the first in-situ visualization and analysis tool meant for next-generation supercomputers, said Cyrus Harrison of Lawrence Livermore National Laboratory (LLNL) and the Department of Energy’s Exascale Computing Project (ECP). ALPINE Ascent is referred to as a flyweight in-situ visualization and analysis library for ECP applications.
ECP Receives HPCwire Editors’ Choice Award for Best HPC Collaboration of Government, Academia, and Industry
TUESDAY, NOVEMBER 13, 2018
The U.S. Department of Energy’s (DOE) Exascale Computing Project (ECP) announced it has been recognized by HPCwire with an Editor’s Choice Award for the project’s extensive collaborative engagement with government, academia and industry in support of the ECP’s effort to accelerate delivery of a capable exascale computing ecosystem, as the nation prepares for the next era of supercomputers capable of a quintillion operations per second.
Spack: The Deployment Tool for ECP’s Software Stack
FRIDAY, OCTOBER 26, 2018
Audio chat with Todd Gamblin, a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). His research focuses on scalable tools for measuring, analyzing, and visualizing parallel performance data. He leads LLNL’s DevRAMP (Reproducibility, Analysis, Monitoring, and Performance) team, and he is the creator of Spack, the deployment tool for the Exascale Computing Project’s (ECP) software stack.
Exascale Computing Project Names Lori Diachin as New Deputy Director
TUESDAY, JULY 31, 2018
The Department of Energy’s Exascale Computing Project (ECP) has named Lori Diachin as its new Deputy Director effective August 7, 2018. Lori replaces Stephen Lee who has retired from Los Alamos National Laboratory. Lori has been serving as the Deputy Associate Director for Science and Technology in the Computation Directorate at Lawrence Livermore National Laboratory (LLNL) since 2017.
ECP Announces New Co-Design Center to Focus on Exascale Machine Learning Technologies
FRIDAY, JULY 20, 2018
The Exascale Computing Project has initiated its sixth Co-Design Center, ExaLearn, to be led by Principal Investigator Francis J. Alexander, Deputy Director of the Computational Science Initiative at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory. ExaLearn is a co-design center for Exascale Machine Learning (ML) Technologies and is a collaboration initially consisting of experts from eight multipurpose DOE labs. Brian Van Essen is the LLNL Lead.
Scaling the Unknown: The CEED Co-Design Center
THURSDAY, JULY 12, 2018
CEED is one of five co-design centers in the Exascale Computing Project, a collaboration between DOE’s Office of Science and National Nuclear Security Administration. The centers facilitate cooperation between the ECP’s supercomputer vendors, application scientists and hardware and software specialists. Led by Livermore, the CEED collaboration alone encompasses more than 30 researchers at two DOE national laboratories – LLNL and Argonne – and five universities.
New Simulations Break Down Potential Impact of a Major Quake by Building Location and Size
THURSDAY, JUNE 28, 2018
With unprecedented resolution, scientists and engineers are simulating precisely how a large-magnitude earthquake along the Hayward Fault would affect different locations and buildings across the San Francisco Bay Area. A team from Berkeley Lab and Lawrence Livermore National Laboratory, both U.S. Department of Energy (DOE) national labs, is leveraging powerful supercomputers to portray the impact of high-frequency ground motion on thousands of representative different-sized buildings spread out across the California region.
Audio Update: Hardware and Integration
TUESDAY, MAY 15, 2018
In an audio discussion, ECP’s Hardware and Integration (HI) Director Terri Quinn (Lawrence Livermore National Laboratory) describes how the HI focus area performs its mission and what its top goals are.
Efficiently Using Power and Optimizing Performance of Scientific Applications at Exascale
THURSDAY, MARCH 15, 2018
Tapasya Patki of Lawrence Livermore National Laboratory leads the Power Steering project within the ECP. Her project provides a job-level power management system that can optimize performance under power and/or energy constraints. She has expertise in the areas of power-aware supercomputing, large-scale job scheduling, and performance modeling.
