Featured Publication Summaries

Novel Metall advances persistent data-centric analytics for exascale computing

Scientists funded by the Exascale Computing Project have developed Metall, a persistent memory allocator that enables applications to allocate memory transparently into various nonvolatile random access memories (NVRAM) by leveraging the memory-mapped file mechanism (i.e., mmap system call).

ECP team conducts first real-world test of Lagrangian analysis techniques for data reduction

A team of researchers working with the Exascale Computing Project has completed the first real-world demonstration of the effectiveness of Lagrangian analysis techniques for reducing data size and storage needs while ensuring accuracy for post hoc exploratory analysis and visualization of time-varying vector fields.

ExaGraph team improves speed and scaling for combinatorial and graph algorithms

A team of scientists working with the ExaGraph Co-Design Center provided a review of work done under the Exascale Computing Project (ECP) to optimize combinatorial and graph algorithms and related software development for scaling to exascale applications.

Technical Highlights

ExaAM Transforming Additive Manufacturing through Exascale Simulation

Additive manufacturing (AM), also known as 3D Printing, is revolutionizing manufacturing by enabling construction of complex parts that cannot be readily fabricated by traditional means. Although most people are familiar with desktop 3D printers that can create small objects by melting plastic, it is also possible to create metal parts (e.g., titanium, stainless steel) using […]

WDMApp – The First Simulation Software in Fusion History to Couple Tokamak Core to Edge Physics

By Rob Farber, contributing writer The development of a whole device model (WDM) for a fusion reactor is critical for the science of magnetically confined fusion plasmas. In the next decade, the ITER fusion reactor project will realize plasmas well beyond the physics regimes accessible in any previous experiments.[1] Computer simulation offers the ability to […]

MFIX-Exa – Exascale Supercomputing to Model Chemical Looping Reactors for Industrial Carbon Capture

By Rob Farber, contributing writer Technical Introduction Fossil fuel–based industrial processes and electricity production account for approximately half of all greenhouse gas emissions in the United States.[1] Commercial-scale multiphase reactors such as chemical looping reactors (CLRs) offer a promising approach for reducing industrial carbon dioxide emissions through carbon capture and storage technologies.[2] Heat from these […]

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