Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Computational Evaluation of Cloud HPC with a Global Atmospheric Model

Daniel Arevalo from DeVine Consulting gave this talk at the HPC User Forum. “Prompted by DoD priorities for modernization, cost savings, and redundancy, this project compared the performance of the NAVGEM on an in-house Cray system against the follow cloud offerings: AWS c4.8xlarge, Penguin B30 queue, Azure H16r, and AWS c5n.18xlarge.”

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.”

ClimateNet Looks to Machine Learning for Global Climate Science

Pattern recognition tasks such as classification, localization, object detection and segmentation have remained challenging problems in the weather and climate sciences. Now, a team at the Lawrence Berkeley National Laboratory is developing ClimateNet, a project that will bring the power of deep learning methods to identify important weather and climate patterns via expert-labeled, community-sourced open datasets and architectures.

Video: Big Data Assimilation Revolutionizing Weather Prediction

In this video from the HPC User Forum in Tucson, Miyoshi Takemasa from RIKEN presents: Big Data Assimilation Revolutionizing Weather Prediction. “A new project harnessing data from a Japanese satellite called Himawari-8 could improve weather forecasting and allow officials to issue life-saving warnings before natural disasters. The breakthrough is the result of pairing data collected by Japan’s Himawari-8 weather satellite with a program run on a supercomputer at the RIKEN science institute.”

PSSC Labs offers HPC Solutions for Weather Modeling and Wildfire Analysis

PSSC Labs is offering HPC clusters solutions for Weather Modeling and Wildfire Analysis in collaboration with Atmospheric Data Solutions (ADS). “The solutions ADS are developing use a comprehensive blend of predictors that are important to large wildfire potential including dead fuel and live fuel moisture, near-surface atmospheric moisture and temperature, wind speed and gusts.”

Building a GPU-enabled and Performance-portable Global Cloud-resolving Atmospheric Model

Richard Loft from NCAR gave this talk at the NVIDIA booth at SC17. “The objectives of NCAR’s exploration of accelerator architectures for high performance computing in recent years has been to 1) speed up the rate of code optimization and porting and 2) understand how to achieve performance portability on codes in the most economical and affordable way.

Video: Scientel Runs Record Breaking Calculation on Owens Cluster at OSC

In this video, Norman Kutemperor from Scientel describes how his company ran a record-setting big data problem on the Owens supcomputer at OSC.

“The Ohio Supercomputer Center recently displayed the power of its new Owens Cluster by running the single-largest scale calculation in the Center’s history. Scientel IT Corp used 16,800 cores of the Owens Cluster on May 24 to test database software optimized to run on supercomputer systems. The seamless run created 1.25 Terabytes of synthetic data.”

Chinese Research Team Wins Gordon Bell Prize using #1 Sunway TaihuLight Supercomputer

A weather science team from China has won 2016 ACM Gordon Bell Prize for their research project, “10M-Core Scalable Fully-Implicit Solver for Nonhydrostatic Atmospheric Dynamics.” The winning team presented a method for calculating atmospheric dynamics on the world’s fastest computer, the 93 Petaflop Sunway TaihuLight system. “On the road to the seamless weather-climate prediction, a major obstacle is the difficulty of dealing with various spatial and temporal scales. The atmosphere contains time-dependent multi-scale dynamics that support a variety of wave motions.”

Video: Cray Powers More Accurate Forecasts at ECMWF

In this video, Al Roker from the Today Show looks at how Cray XC30 supercomputers give ECMWF more accurate forecasts than we get here in America. ECMWF uses advanced computer modeling techniques to analyze observations and predict future weather. Their assimilation system uses 40 million observations a day from more than 50 different instruments on satellites, and from many ground-based and airborne measurement systems.

How HPC is Helping Solve Climate and Weather Forecasting Challenges

Data accumulation is just one of the challenges facing today weather and climatology researchers and scientists. To understand and predict Earth’s weather and climate, they rely on increasingly complex computer models and simulations based on a constantly growing body of data from around the globe. “It turns out that in today’s HPC technology, the moving of data in and out of the processing units is more demanding in time than the computations performed. To be effective, systems working with weather forecasting and climate modeling require high memory bandwidth and fast interconnect across the system, as well as a robust parallel file system.”