1. The document discusses the top 5 stories highlighting what's hot in high performance computing (HPC) and artificial intelligence (AI). 2. The stories include a tool that makes it easier to create HPC application containers, how to understand deep learning performance, the White House hosting an AI summit, a call for submissions on interactive HPC workflows, and a supercomputing center adding Nvidia GPUs to expand their cloud services. 3. The top stories provide insights on the latest tools, events, and technologies in HPC and AI.

1. HPC TOP 5 STORIES
Weekly Insights into the World of
High Performance Computing

2. HPC AND AI HAVE PAVED THE WAY FOR
GROUNDBREAKING DISCOVERIES IN SCIENCE,
MEDICINE, AND OTHER FIELDS…

3. PROVING THAT AI IS THE FUTURE OF
SUPERCOMPUTING…

4. HERE ARE THE “TOP FIVE’ STORIES
HIGHLIGHTING WHAT’S HOT IN HPC AND AI
TOP 5

5. TOP 5
1. Making Containers Easier with HPC Container Maker
2. How Do I Understand Deep Learning Performance?
3. White House Transforms to Silicon Valley for a Day
4. Interactive HPC- Call for Submissions
5. Pawsey Adds NVIDIA GPUs to Its Free HPC Cloud Service

6. MAKING CONTAINERS EASIER WITH HPC CONTAINER
MAKER
HPC Container Maker (HPCCM) is an open-source project
that addresses the challenges of creating HPC application
containers. HPCCM encapsulates into modular building
blocks the best practices of deploying core HPC
components with container best practices, to reduce
container development effort, minimize image size, and
take advantage of image layering. Available on GitHub,
HPCCM makes it easier to create HPC application
containers by separating the choice of what should go
into a container image from the specification details of
how to configure, build, and install a component. This
separation also enables the best practices of HPC
component deployment to transparently evolve over
time.
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7. HOW DO I UNDERSTAND DEEP LEARNING
PERFORMANCE?
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There’s a lot of confusion out there about deep learning
performance. How do you measure it? What should you
measure?
The simple answer: PLASTER.
The not so simple reality: “Hyperscale data centers are the
most complicated computers the world has ever made —
how could it be simple?” NVIDIA CEO Jensen Huang
explained at NVIDIA’s GPU Technology Conference earlier
this year, before cramming each of the factors that drive
this performance into that single acronym
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8. WHITE HOUSE TRANSFORMS TO SILICON VALLEY
FOR A DAY
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The summit also held break-out sessions around issues like
AI R&D, workforce development, regulatory barriers and
sector-specific AI applications. A range of sectors were
represented from food and agriculture and health care, to
transportation and energy.
NVIDIA, known for its visual computing and AI tech, was
represented by Ian Buck, the company's vice president of the
accelerated computing business unit, who's no stranger to
addressing government about AI. In fact, Buck testified
before the House IT subcommittee on Feb. 14 to provide AI
recommendations and expertise.

9. INTERACTIVE HPC: CALL FOR SUBMISSIONS
Interactive exploration and analysis of large data sets,
interactive preparation and debugging of large-scale
scientific simulations, in-situ visualization, and application
steering are compelling scenarios for exploratory science,
design optimizations, and signal processing. However, a range
of technical, organizational and sociological challenges must
be overcome to make these interactive workflows
mainstream in HPC centers: What simulation scenarios or
problem domains can benefit most from interactivity? How
can we simplify the toolchain? What center policies are
needed to support highly interactive workflows? The goal of
this workshop is to bring together domain scientists, tool
developers, and HPC center administrators to identify the
scientific impact and technical challenges of highly
interactive access to HPC resources.
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10. PAWSEY ADDS NVIDIA GPUS TO ITS FREE
HPC CLOUD SERVICE
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The Pawsey Supercomputing Centre is expanding its Nimbus
cloud service with NVIDIA V100 GPU-powered servers in order
to provide additional capabilities for researchers.
The Pawsey press release offers up a colorful description of
the added GPU capability: “These bad boys are built to
accelerate Artificial Intelligence, HPC, and graphics. Powered
by NVIDIA Volta architecture, they offer the performance of
up to 100 CPUs in a single GPU.”
The release goes on to say that the addition of the V100 to
their Nimbus cloud puts Pawsey in “the same leagues as
Google, Amazon, IBM and Microsoft who have recently
announced their cloud expansion using the same NVIDIA GPUs.
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11. HOW CAN HPC IMPACT YOUR BUSINESS?
LEARN MORE