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Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

The Use of HPC to Model the California Wildfires

Ilkay Altintas from the San Diego Supercomputer Center gave this talk at the HPC User Forum. “WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire’s rate of spread.”

NVIDIA Makes Visualization Easier in the Cloud

Visualizing the results of a simulation can give new insight into complex scientific problems. Interactive viewing of entire datasets can lead to earlier understanding of the challenge at hand and can enhance the understanding of complex phenomena. With the release of the of HPC Visualization Containers with the NVIDIA CPU Cloud, it has become much easier to get a visualization system up and production ready much quicker than ever before.

Intel Select Solutions: Enabling HPC for a Broader Set of Users

Building upon the success of Intel Cluster Ready and Intel Scalable System Framework (Intel SSF), Intel is facilitating the deployment of computing resources to non-traditional HPC users with the recently announced Intel Select Solutions for HPC. The following guest article from Intel explores how Intel Select Solutions is working to enable and simplify HPC for a broader set of users. 

Consumer GPUs Power 2 Petaflop Deep Learning Cluster at ASTRON

Today ClusterVision announced the successful deployment of a new high performance computing GPU cluster system for the Netherlands Institute for Radio Astronomy (ASTRON). “By utilizing the deep learning capabilities of the GPU cluster, the telescopes will be able to detect pulsar flashes with much greater accuracy through self-learning. In the past, ASTRON scientists had to manually detect and input pulsar patterns. With deep learning, ARTS does it for them.”

Jack Dongarra Presents: Overview of HPC and Energy Savings on NVIDIA’s V100

Jack Dongarra from the University of Tennessee gave this talk at SC17. “In this talk we will look at the current state of high performance computing and look to the future toward exascale. In addition, we will examine some issues that can help in reducing the power consumption for linear algebra computations.”