Program Offices – DOE Office of Science

Exascale Computing Project Contributes to Accelerating Cancer Research

The Exascale Computing Project's CANDLE application will improve cancer research techniques and clinical outcomes


Exascale to Model Fusion Energy

ALCC is currently soliciting proposals for allocation awards for the 2024-2025 allocation year

ALCC Program Seeks Proposals for 2024

Building a Capable Computing Ecosystem for Exascale and Beyond

The Exascale Era is here.

Exascale Computing Project (ECP) at the Center of SC23 Panel Discussion on Exascale Impact to Industry

Exascale Computing Project to be Highlighted in a Panel Discussion on the Impact of Exascale to Industry

Aurora Early Science Program: Speeding Up Discovery of New Catalysts for Clean Energy

Aurora Early Science Program: Speeding Up Discovery of New Catalysts for Clean Energy

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

Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCF

Katherine Riley leads a team of computational science experts who work with facility users to maximize their use of ALCF computing resources.

Discussing NERSC’s Unique Global Role and Close Collaboration with ECP

Richard Gerber ensures the National Energy Research Scientific Computing Center remains responsive to the needs of scientific researchers.

Reflecting on the ‘Why’ behind Supercomputing Simulations: Advancing Science

Bronson Messer, director of science for the Oak Ridge Leadership Computing Facility, has an expert perspective on supercomputing for science.

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.

Leveraging Machine Learning for Computational and Experimental Science and Engineering

Machine learning technologies are creating inspiring new opportunity vistas for scientific discovery and research at the exascale.

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.

Osni Marques Assumes New Leadership Duties for the Exascale Computing Project

Osni Marques, a staff scientist at Lawrence Berkeley National Laboratory, has been tapped to lead ECP Training & Productivity.

OLCF’s Ashley Barker Takes on New Role, Steps Down from ECP

Ashley Barker will step down as lead of ECP's Training & Productivity for new duties at the Oak Ridge Leadership Computing Facility.

Community Event Hits Upon Software Development for Next-Gen GPU Architectures

ECP's Birds-of-a-Feather Days, May 10–12, will give developers the chance to learn about leading-edge software and performance-analysis tools.

Revisiting the E4S Software Ecosystem Upon Release of Version 22.02

The Extreme-scale Scientific Software Stack (E4S) continues to evolve as a broad collection of software capabilities for scientific research.

Preparing the PETSc/TAO Software Suite to Support Exascale Scientific Applications

An Exascale Computing Project team is getting the longtime open-source PETSc/TAO software suite ready to support exascale applications.

Helping Users Deploy High-Performance Computing Tools and Libraries in a Consistent Interoperable Software Stack

The latest version of the Extreme-scale Scientific Software Stack (E4S) provides support for three different GPU architectures.

Let’s Talk Exascale Code Development: CANcer Distributed Learning Environment (CANDLE)

ECP plays key support roles in the CANDLE project, which is addressing three significant science challenge problems in cancer research.

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