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April 20, 2020 The U.S. Department of Energys Exascale Computing Project (ECP) has named Dan Martin, a computational scientist and group lead for the Applied Numerical Algorithms Group in Berkeley Labs Computational Research Division, as team lead for their Earth and Space Scienceportfolio within ECP Application Development focus area. Martin replaces Anshu Dubey, a computer scientist at Argonne National Laboratory.

I am confident that Dans technical expertise and deep experience with the codes that are relevant to the ECP portfolio make him a good fit to replace me at ECP. Not only is he highly respected for his work, but his management style will mesh very well with the leadership team, said Dubey of Martins appointment, I have a vested interest as my project remains in Dans portfolio at ECP!

The ECPs Earth and Space Science project portfolio includes ExaSky, a project unraveling the mysteries surrounding the structure of the universe; ExaStar, focused on researching explosive astrophysical phenomena such as stellar explosions and neutron star mergers to gain insight into the cosmic origin of the elements and the behavior of matter; EQSIM, focused on modeling earthquakes and their impact on structures within an earthquake zone; Subsurface, a project probing the cracks in wellbores and reservoirs to reliably inform decisions pertaining to carbon capture, fossil fuel extraction, and waste disposal; and E3SM-MMF, research on resolving clouds at an unprecedented scale with advanced parameterization.

One of the exciting promises of the coming exascale age is the expertise to push our ability to do science into places that were inaccessible until now. Im excited that my role in ECP will support the practical development of this capability to study specific scientific problems, said Martin.

About the Computational Research at Berkeley Lab

The Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture and high-performance software implementation. We collaborate directly with scientists across LBNL, the Department of Energy and industry to solve some of the worlds most challenging computational and data management and analysis problems in a broad range of scientific and engineering fields, including materials science, biology, climate modeling, astrophysics, fusion science, and many others. We also develop advanced capabilities for scientific data understanding through visualization and analytics. We perform research in high-performance computing (HPC) technology for extreme-scale computing systems, including research into performance optimization, performance analysis, benchmarking, and performance engineering of scientific applications, compilers, operating systems, and runtime systems. We also perform research in cloud computing, workflow tools, scheduling, computational frameworks and distributed systems. Our products range from peer-reviewed scientific publications to scientific research codes to end-to-end computational and data analysis capabilities that enable scientists and engineers to address complex and large-scale technical challenges.

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Berkeley Lab's Dan Martin Takes on New Role with the Exascale Computing Project - HPCwire