Japan’s Fastest Supercomputer Adopts NGC, Enabling Easy Access to Deep Learning Frameworks

June 17, 2019

June 17, 2019 — From discovering drugs, to locating black holes, to finding safer nuclear energy sources, high performance computing systems around the world have enabled breakthroughs across all scientific domains.

Japan’s fastest supercomputer, ABCI, powered by NVIDIA Tensor Core GPUs, enables similar breakthroughs by taking advantage of AI. The system is the world’s first large-scale, open AI infrastructure serving researchers, engineers and industrial users to advance their science.

The software used to drive these advances is as critical as the servers the software runs on. However, installing an application on an HPC cluster is complex and time consuming. Researchers and engineers are unproductive as they wait to access the software, and their requests to have applications installed distract system admins from completing mission-critical tasks.

Containers — packages that contain software and relevant dependencies — allow users to pull and run the software on a system without actually installing the software. They’re a win-win for users and system admins.

NGC: Driving Ease of Use of AI, Machine Learning and HPC Software
NGC offers over 50 GPU-optimized containers for deep learning frameworks, machine learning algorithms and HPC applications that run on both Docker and Singularity.

The HPC applications provide scalable performance on GPUs within and across nodes. NVIDIA continuously optimizes key deep learning frameworks and libraries, with updates released monthly. This provides users access to top performance for training and inference for all their AI projects.

ABCI Runs NGC Containers
Researchers and industrial users are taking advantage of ABCI to run AI-powered scientific workloads across domains, from nuclear physics to manufacturing. Others are taking advantage of the system’s distributed computing to push the limits on speeding AI training.

To achieve this, the right set of software and hardware tools must be in place, which is why ABCI has adopted NGC.

“Installing deep learning frameworks from the source is complicated and upgrading the software to keep up with the frequent releases is a resource drain,” said Hirotaka Ogawa, team leader of the Artificial Intelligence Research Center at AIST. “NGC allows us to support our users with the latest AI frameworks and the users enjoy the best performance they can achieve on NVIDIA GPUs.”

ABCI has turned to containers to address another user need — portability.

“Most of our users are from industrial segments who are looking for portability between their on-prem systems and ABCI,” said Ogawa. “Thanks to NGC and Singularity, the users can develop, test, and deploy at scale across different platforms. Our sampling data showed that NGC containers were used by 80 percent of the over 100,000 jobs that ran on Singularity.”

NGC Container Replicator Simplifies Ease of Use for System Admins and Users
System admins managing HPC systems at supercomputing centers and universities can now download and save NGC containers on their clusters. This gives users faster access to the software, alleviates their network traffic, and saves storage space.

NVIDIA offers NGC Container Replicator, which automatically checks and downloads the latest versions of NGC containers.

NGC container replicator chart. Image courtesy of NVIDIA.

Without lifting a finger, system admins can ensure that their users benefit from the superior performance and newest features from the latest software.

More Than Application Containers
In addition to deep learning containers, NGC hosts 60 pre-trained models and 17 model scripts for popular use cases like object detection, natural language processing and text to speech.

It’s much faster to tune a pre-trained model for a use case than to start from scratch. The pre-trained models allow researchers to quickly fine-tune a neural network or build on top of an already optimized network for specific use-case needs.

The model training scripts follow best practices, have state-of-the-art accuracy and deliver superior performance. They’re ideal for researchers and data scientists planning to build a network from scratch and customize it to their liking.

The models and scripts take advantage of mixed precision powered by NVIDIA Tensor Core GPUs to deliver up to 3x deep learning performance speedups over previous generations.

Take NGC for a Spin
NGC containers are built and tested to run on-prem and in the cloud. They also support hybrid as well as multi-cloud deployments. Visit ngc.nvidia.com, pull your application container on any GPU-powered system or major cloud instance, and see how easy it is to get up and running for your next scientific research.


Source: Chintan Patel, NVIDIA 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

New CMU AI Poker Bot – Pluribus – Humbles the Pros Again

July 15, 2019

Remember Libratus, the Carnegie Mellon University developed AI poker bot that’s been humbling poker professionals at Texas hold’em for a couple of years. Well, say hello to Pluribus, an upgraded bot, which has now be Read more…

By John Russell

ISC19 Cluster Competition: Application Results, Finally!

July 15, 2019

Our exhaustive coverage of the ISC19 Student Cluster Competition continues as we discuss the application scores below. While the scores were typically high, some of the apps, like SWIFT and OpenFOAM, really pushed the st Read more…

By Dan Olds

Portugal Launches Its First Supercomputer

July 12, 2019

Portugal has officially inaugurated its first-ever supercomputer. The unassumingly named “Bob” supercomputer is housed in the Minho Advanced Computer Center (MACC) at the University of Minho.  Bob was announced i Read more…

By Oliver Peckham

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

For decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

How AI Powers Up Data Management and Analytics

Companies are making more decisions based on data. However, the ability to intelligently process the growing volume of data is a bottleneck to extracting actionable insights. Read more…

What’s New in HPC Research: Traffic Simulation, Performance Variations, Scheduling & More

July 11, 2019

In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

By Oliver Peckham

ISC19 Cluster Competition: Application Results, Finally!

July 15, 2019

Our exhaustive coverage of the ISC19 Student Cluster Competition continues as we discuss the application scores below. While the scores were typically high, som Read more…

By Dan Olds

Nvidia Expands DGX-Ready AI Program to 19 Countries

July 11, 2019

Nvidia’s DGX-Ready Data Center Program, announced in January and designed to provide colo and public cloud-like options to access the company’s GPU-powered Read more…

By Doug Black

Argonne Team Makes Record Globus File Transfer

July 10, 2019

A team of scientists at Argonne National Laboratory has broken a data transfer record by moving a staggering 2.9 petabytes of data for a research project.  The data – from three large cosmological simulations – was generated and stored on the Summit supercomputer at the Oak Ridge Leadership Computing Facility (OLCF)... Read more…

By Oliver Peckham

Nvidia, Google Tie in Second MLPerf Training ‘At-Scale’ Round

July 10, 2019

Results for the second round of the AI benchmarking suite known as MLPerf were published today with Google Cloud and Nvidia each picking up three wins in the at Read more…

By Tiffany Trader

Applied Materials Embedding New Memory Technologies in Chips

July 9, 2019

Applied Materials, the $17 billion Santa Clara-based materials engineering company for the semiconductor industry, today announced manufacturing systems enablin Read more…

By Doug Black

ISC19 Cluster Competition: HPCC Deep Dive

July 7, 2019

The biggest benchmark the student warriors tackled during the ISC19 Student Cluster Competition was the colossal HPC Challenge. This is a collection of benchmar Read more…

By Dan Olds

OLCF Bids Farewell to Its Titan Supercomputer

July 4, 2019

After seven years of faithful service, and a long reign as the United States' fastest supercomputer, the Cray XK7-based Titan supercomputer at the Oak Ridge Lea Read more…

By Staff report

Quantum Bits: Neven’s Law (Who Asked for That), D-Wave’s Steady Push, IBM’s Li-O2- Simulation

July 3, 2019

Quantum computing’s (QC) many-faceted R&D train keeps slogging ahead and recently Japan is taking a leading role. Yesterday D-Wave Systems announced it ha Read more…

By John Russell

High Performance (Potato) Chips

May 5, 2006

In this article, we focus on how Procter & Gamble is using high performance computing to create some common, everyday supermarket products. Tom Lange, a 27-year veteran of the company, tells us how P&G models products, processes and production systems for the betterment of consumer package goods. Read more…

By Michael Feldman

Cray, AMD to Extend DOE’s Exascale Frontier

May 7, 2019

Cray and AMD are coming back to Oak Ridge National Laboratory to partner on the world’s largest and most expensive supercomputer. The Department of Energy’s Read more…

By Tiffany Trader

Graphene Surprises Again, This Time for Quantum Computing

May 8, 2019

Graphene is fascinating stuff with promise for use in a seeming endless number of applications. This month researchers from the University of Vienna and Institu Read more…

By John Russell

AMD Verifies Its Largest 7nm Chip Design in Ten Hours

June 5, 2019

AMD announced last week that its engineers had successfully executed the first physical verification of its largest 7nm chip design – in just ten hours. The AMD Radeon Instinct Vega20 – which boasts 13.2 billion transistors – was tested using a TSMC-certified Calibre nmDRC software platform from Mentor. Read more…

By Oliver Peckham

It’s Official: Aurora on Track to Be First US Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

TSMC and Samsung Moving to 5nm; Whither Moore’s Law?

June 12, 2019

With reports that Taiwan Semiconductor Manufacturing Co. (TMSC) and Samsung are moving quickly to 5nm manufacturing, it’s a good time to again ponder whither goes the venerable Moore’s law. Shrinking feature size has of course been the primary hallmark of achieving Moore’s law... Read more…

By John Russell

Deep Learning Competitors Stalk Nvidia

May 14, 2019

There is no shortage of processing architectures emerging to accelerate deep learning workloads, with two more options emerging this week to challenge GPU leader Nvidia. First, Intel researchers claimed a new deep learning record for image classification on the ResNet-50 convolutional neural network. Separately, Israeli AI chip startup Hailo.ai... Read more…

By George Leopold

Nvidia Embraces Arm, Declares Intent to Accelerate All CPU Architectures

June 17, 2019

As the Top500 list was being announced at ISC in Frankfurt today with an upgraded petascale Arm supercomputer in the top third of the list, Nvidia announced its Read more…

By Tiffany Trader

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

Top500 Purely Petaflops; US Maintains Performance Lead

June 17, 2019

With the kick-off of the International Supercomputing Conference (ISC) in Frankfurt this morning, the 53rd Top500 list made its debut, and this one's for petafl Read more…

By Tiffany Trader

Intel Launches Cascade Lake Xeons with Up to 56 Cores

April 2, 2019

At Intel's Data-Centric Innovation Day in San Francisco (April 2), the company unveiled its second-generation Xeon Scalable (Cascade Lake) family and debuted it Read more…

By Tiffany Trader

Cray – and the Cray Brand – to Be Positioned at Tip of HPE’s HPC Spear

May 22, 2019

More so than with most acquisitions of this kind, HPE’s purchase of Cray for $1.3 billion, announced last week, seems to have elements of that overused, often Read more…

By Doug Black and Tiffany Trader

A Behind-the-Scenes Look at the Hardware That Powered the Black Hole Image

June 24, 2019

Two months ago, the first-ever image of a black hole took the internet by storm. A team of scientists took years to produce and verify the striking image – an Read more…

By Oliver Peckham

Announcing four new HPC capabilities in Google Cloud Platform

April 15, 2019

When you’re running compute-bound or memory-bound applications for high performance computing or large, data-dependent machine learning training workloads on Read more…

By Wyatt Gorman, HPC Specialist, Google Cloud; Brad Calder, VP of Engineering, Google Cloud; Bart Sano, VP of Platforms, Google Cloud

Chinese Company Sugon Placed on US ‘Entity List’ After Strong Showing at International Supercomputing Conference

June 26, 2019

After more than a decade of advancing its supercomputing prowess, operating the world’s most powerful supercomputer from June 2013 to June 2018, China is keep Read more…

By Tiffany Trader

In Wake of Nvidia-Mellanox: Xilinx to Acquire Solarflare

April 25, 2019

With echoes of Nvidia’s recent acquisition of Mellanox, FPGA maker Xilinx has announced a definitive agreement to acquire Solarflare Communications, provider Read more…

By Doug Black

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This