The document summarizes 5 stories related to developments in high performance computing: 1) A review of NVIDIA's Tesla P100 GPU which shows increased performance over previous GPUs and traditional CPU-based systems. 2) Research at Oak Ridge National Laboratory using the Titan supercomputer to simulate biomolecules for better biofuel production. 3) The launch of Microsoft Azure N-Series virtual machines powered by NVIDIA GRID and Tesla GPUs for professional visualization. 4) Singapore Management University's use of an NVIDIA DGX-1 deep learning supercomputer for artificial intelligence research projects. 5) NVIDIA's role at the Gartner Data Center

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TITLE GOES HERE
WEEKLY INSIGHTS INTO THE WORLD
OF HIGH PERFORMANCE COMPUTING
HPC TOP 5 STORIES

2. 2
HPC is a key element for
growth in numerous markets…

3. 3
IDC predicts that by 2020, HPC will
be pivotal in the markets for
driverless vehicles, cognitive
computing, AI, and the internet of
things.

4. 4
Here are the “Top Five”
stories
highlighting what’s hot in
High Performance
Computing.

5. 5
NVIDIA Tesla P100 GPU Review
With more than 400 applications optimized for GPU
acceleration – and more coming out every day,
we’re fast approaching a time when GPU
accelerators will be available for almost every
compute intensive workload in HPC and in the
enterprise.
Nearly every organization has at least an
application or two that can be accelerated through
use of GPUs. While higher performance is certainly
one of the leading benefits from acceleration,
GPUs can provide this performance while using less
energy and floor space than traditional servers –
which makes them a great choice for enterprises
small and large.
Accelerated computing continues to gain momentum as the HPC community moves towards Exascale.
Our Tesla P100 GPU review shows how these accelerators are opening up new worlds of performance vs.
traditional CPU-based systems and even vs. NVIDIA’s previous K80 GPU product.
READ MORE

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TITAN Supercomputer Hunting for Better Biofuel in Massive
Molecular Simulation
Henry Ford once called ethanol “the fuel of the
future.” That day may be moving closer, thanks
to the Tesla GPU-accelerated Titan
supercomputer at Oak Ridge National Laboratory.
A corn-derived biofuel, ethanol has the potential
to be a widely used renewable transportation
fuel, but its biomolecular structure has kept it
from being economically viable to produce at
mass scale. That’s where Oak Ridge scientist
Jeremy Smith and Titan come in.
Smith and his team at the U.S. Department of
Energy’s BioEnergy Science Center have used the
Titan supercomputer to fastidiously produce
some of the most immense and complex
biomolecular simulations in history.READ MORE

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The GPU-Cloud Era- Powered by Microsoft Azure N-Series
Whether it’s deep learning, virtual reality, or desktop
transformation, the GPU is the cornerstone resource in
every data center, and now the most important clouds.
Our work with Microsoft builds on our vision of the GPU-
accelerated cloud, which we announced in September.
And it’s is a powerful addition to the roster of partners
who’ve built cloud-hosted solutions on top of NVIDIA
GRID, including Google and Amazon.
We’re excited about the continuation of that vision and
momentum with today’s general availability of Microsoft
Azure N-Series for professional visualization virtual
machine instances – backed by NVIDIA GRID and NVIDIA
Tesla GPUs.
READ MORE

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Singapore University Leverages NVIDIA’s Supercomputer for
AI Research
READ MORE
The Singapore Management University (SMU) will be using
the NVIDIA DGX1 deep learning supercomputer to conduct AI
research for Singapore's Smart Nation project.
The research will take place at the SMU Living Analytics
Research Centre (LARC), which is supported and funded by
Singapore's National Research Foundation (NRF).
Providing performance that is equivalent to 250 conventional
servers, the supercomputer will reduce the time it takes for
researchers to train sophisticated deep neural networks. The
solution is also built on NVIDIA Tesla P100 GPUs, which utilize
the latest Pascal GPU architecture.
One of the projects that will use the DGX1 deep learning
supercomputer is the food AI application, which aims to
achieve smart food consumption and healthy lifestyle.

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NVIDIA’s Role at Gartner Data Center & The New
@NVIDIADC
READ MORE
A GPU-accelerated data center is a key competitive advantage,
NVIDIA’s Jim McHugh will tell attendees at Gartner’s Data Center,
Infrastructure, & Operations Management Conference, in Las
Vegas next week.
McHugh, who serves as VP and GM of Enterprise Products, will
explain how GPUs can accelerate data processing and analysis by
10-100x over traditional compute and visualize 100x more data
with 40x less infrastructure.
These capabilities are key to speeding up your business, and
taking advantage of the GPU-driven AI boom that is remaking
fields such as financial services, information technology,
manufacturing, retail, government, and healthcare.

10. Stay tuned for weekly
HPC Top 5 Stories