4. HERE ARE THE “TOP FIVE’ STORIES
HIGHLIGHTING WHAT’S HOT IN HPC AND AI
TOP 5
5. TOP 5
1. More Oil, Less Toil: How GPUs Can Make the Most of Fossil Fuel Resources
2. GPU Ready App- SpecFem3D Globe Quick Start Guides Now Available
3. NVIDIA: Mayo Clinic Turns to AI to Improve Brain Tumor Treatment
4. ParaView Users- Bring Your Data to GTC, Gather Insights Like Never Before
5. ASC17 Challenge Established a New HPL Record
6. MORE OIL, LESS TOIL: HOW GPUS CAN MAKE THE MOST
OF FOSSIL FUEL RESOURCES
GPUs have shrunk half a football field’s worth of computing
power into less space than a ping pong table on their way to
helping the oil industry reach a performance milestone –
simulating and oil reservoir with a billion computational cells
They did it in a fraction of the time that CPUs require, while
using fewer computing resources and 10 percent of the
power.
Oil companies model underground reservoirs before they drill
to figure out how to extract the most petroleum with the
least financial and environmental risk. A billion-cell
simulation is extremely challenging because of its complexity;
cells represent different characteristics of the reservoir
including the soil and fluid pressure.
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7. NEW GPU READY APP QUICK START GUIDE:
SPECFEM3D GLOBE
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SPECFEM3D Globe simulates global and continental scale
regional seismic wave propagation. This application enables
researchers to analyze the effects of lateral variations in
compressional-wave speed, shear-wave speed, density,
rotation, and self-gravitation on a 3D crustal model.
The latest version 7.0 offers GPU graphics card support for
both OpenCL and CUDA hardware accelerators, based on an
automatic source-to-source transformation library.
SPECFEM3D GLOBE runs over 25x faster on a single NVIDIA Tesla
P100 GPU, helping scientists run their seismic simulations in
days instead of weeks.
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8. NVIDIA: MAYO CLINIC TURNS TO AI TO IMPROVE BRAIN
TUMOR TREATMENT
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The work, called radiogenomics, “reflects the almost
unthinkable thought that in the appearance of images,
we can figure out the genomic properties of tumors,”
Erickson said.
This achievement has placed Erickson and a team of
Mayo Clinic researchers among five finalists for NVIDIA’s
2017 Global Impact Award. We award annual grants
totaling $150,000 to two teams of researchers using
NVIDIA technology for groundbreaking work that
addresses social, humanitarian and environmental
problems.
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9. PARAVIEW USERS- BRING YOUR DATA TO GTC,
GATHER INSIGHTS LIKE NEVER BEFORE
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Visualization tools like ParaView are invaluable
for analyzing high performance computing
simulations, like weather forecasting and
modeling Earth’s interior.
But rendering unstructured time-series data is
slow. This limits users’ ability to gather
insights.
To address this challenge, we collaborated with
Kitware to develop a plugin that uses the
NVIDIA IndeX volume visualization tool. It
integrates seamlessly with ParaView, allowing
users to interactively analyze unstructured,
time-series data.
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10. ASC17 CHALLENGE ESTABLISHED A NEW HPL RECORD
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On April 26, the very first day of the ASC Student
Supercomputer Challenge (ASC17), Weifang University from
China, setting new student competition HPL record with 31.70
TFLOPS. Weifang University is a common college from China
Shandong Province, for them this is the second time to
participate in ASC17 challenge and the first time finalist.
The HPL test in ASC17 has strict rules for competing teams to
complete the construction of a supercomputing system with a
total power constraint of 3000W using equipment such as
Inspur supercomputing nodes, high-speed networks and self-
configuration accelerator cards provided by the organizing
committee. The team from Weifang University designed a
heterogeneous supercomputing system using 5 Inspur
supercomputing servers and 10 P100 GPU accelerator cards to
achieve a consistent floating-point performance of 31.7
TFLOPS.