Featured Publication Summaries
The Exascale Computing Project’s (ECP’s) Co-design Center for Particle Applications (CoPA) aims to prepare particle applications for exascale computing.
A team of researchers has developed the Feature Tracking Kit (FTK), which uses simplicial spacetime meshing to simplify, scale, and deliver novel feature-tracking algorithms for in situ data analysis and scientific visualization. FTK delivers feature-tracking tools, scales feature-tracking algorithms in distributed and parallel environments, and simplifies development of new feature-tracking algorithms, enabling new analyses in greater detail than previously possible.
A team collaborating across national laboratories, universities, and industry has developed a new approach to runtime programming that enables scalable execution of implicitly parallel programs on large-scale machines using distributed dynamic dependence analysis for efficient, on-the-fly computation of dependences.
The goal of the Exascale Computing Project (ECP) hardware evaluation (HE) group is to modernize the metrics and predictive analysis to guide US Department of Energy (DOE) supercomputer procurements.
The ExaSky project, one of the critical Earth and Space Science applications being solved by the US Department of Energy’s (DOE’s) Exascale Computing Project (ECP), is preparing to use the nation’s forthcoming exascale supercomputers. Exascale machines will enable the ExaSky team to verify the gravitational influences, gas dynamics, and astrophysical inputs that they use to model the universe at unprecedented fidelity, as well as address forthcoming challenge problems to predict and replicate high-accuracy sky survey data.
The recent proliferation of new hardware technologies has galvanized the high-performance computing (HPC) community and created the ability to deliver the nation’s forthcoming exascale-capable supercomputers and data centers. It has also made LLVM-based compiler technology the default gatekeeper to these new systems.