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Podcast: ExaStar Project Seeks Answers in Cosmos

In this podcast, Daniel Kasen from LBNL and Bronson Messer of ORNL discuss advancing cosmology through EXASTAR, part of the Exascale Computing Project. “We want to figure out how space and time get warped by gravitational waves, how neutrinos and other subatomic particles were produced in these explosions, and how they sort of lead us down to a chain of events that finally produced us.”

Job of the Week: Postdoctoral scholar position for terrestrial systems modeling at Jülich Supercomputing Centre

The Jülich supercomputing Centre in Germany is seeking a Postdoctoral scholar position in the field of terrestrial systems modeling. “You will setup and perform large scale terrestrial systems simulations over the European continent based on novel climate change scenarios and story lines. The simulation results will be analyzed using advanced data analytics technologies to inform various sectors in order to formulate adaptation strategies.”

NCSA to help build world’s most powerful geospatial system

NCSA has announced a new collaboration to produce digital elevation models (DEM) of the entire Earth, among other geospatial research projects. “This is the beginning of building a long-term strategic relationship between NGA and the University of Illinois, centered on high-performance computing and data analysis. The Blue Waters collaboration is the first of what we anticipate will be many years of research collaborations between NGA and Illinois faculty as well as NCSA.”

Exploring the Universe with the SKA Radio Telescope and CUDA

In this video, Wes Armour from the Oxford eResearch Centre discusses the role of GPUs in processing large amounts of astronomical data collected by the Square Kilometre Array and how CUDA is the best suited option for their signal processing software. “The massive computational power of modern day GPUs allows code to perform algorithms such as de-dispersion, single pulse searching and Fourier Domain Acceleration Searching in real-time on very large data-sets which are comparable to those which will be produced by next generation radio-telescopes such as the SKA.”

Video: Supercomputing Sediment Transport in Estuaries

In this video, Salme Cook from the University of New Hampshire describes how she is using NCSA’s Blue Waters supercomputer to model estuaries. One of the big challenges oceanographers face is the inability to observe their science directly. Cook is focused on modeling two particular estuaries in New Hampshire that are experiencing water quality degradation.

Video: HPC at CASC

CASC serves as LLNL’s window to the broader computer science, computational physics, applied mathematics, and data science research communities. In collaboration with academic, industrial, and other government laboratory partners, investigators conduct world-class scientific research and development on problems critical to national security. CASC applies the power of high-performance computing (HPC) and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, and knowledge discovery for intelligence applications.

Supercomputing Heat Transfer between 2D Electronic Components

Researchers are using XSEDE supercomputing resources in the search for new materials for power-efficient electronics. “Using a combination of calculations on XSEDE-allocated resources and lab experiments, a UCLA-led group showed that an atomistic model can explain and predict the transfer of heat between aluminum and black phosphorous, a highly anisotropic material with possible applications in future devices.”

Accelerating High-Resolution Weather Models with Deep-Learning Hardware

Sam Hatfield from the University of Oxford gave this talk at the PASC19 conference. “In this paper, we investigate the use of mixed-precision hardware that supports floating-point operations at double-, single- and half-precision. In particular, we investigate the potential use of the NVIDIA Tensor Core, a mixed-precision matrix-matrix multiplier mainly developed for use in deep learning, to accelerate the calculation of the Legendre transforms in the Integrated Forecasting System (IFS), one of the leading global weather forecast models.”

Podcast: How Exascale Computing Could Help Boost Energy Production

In this podcast, Tom Evans, technical lead for ECP’s Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale. “Evans describes the unprecedented calculations expected at the exascale, the example of taking wind energy simulations much further, and the movement toward the use of more-general-purpose programming tools.”

Video: Reliving the First Moon Landing with NVIDIA RTX real-time Ray Tracing

In this video, Apollo 11 astronaut Buzz Aldrin looks back at the first moon landing with help from a reenactment powered by NVIDIA RTX GPUs with real-time ray tracing technology. “The result: a beautiful, near-cinematic depiction of one of history’s great moments. That’s thanks to NVIDIA RTX GPUs, which allowed our demo team to create an interactive visualization that incorporates light in the way it actually works, giving the scene uncanny realism.”