Understanding Why AI and Analytics Have to Run on HPC Clusters

By Esther Baldwin, Intel AI Strategist

July 22, 2019

Data science is now a first-class citizen in the HPC data center, in the cloud, and on the workstation. The converse is also true, High Performance Computing (HPC) is now a high priority for data scientists who confront issues of time-to-model when training, inference latency, and of course, the ever present need to manipulate large amounts of data. HPC clusters must support these combined workloads – or more specifically “converged” HPC, AI, and High-Performance Data Analytic (HPC-AI-HPDA) workloads.

This convergence of HPC-AI-HPDA reflects a golden age for data science as people expect to run with supercomputer performance on their HPC systems be they workstations, on their local clusters, and in the cloud. The reason is that workload optimized servers for AI provide optimized software stacks that run industry-standard tools like TensorFlow* with support for vectorized low-precision arithmetic along with vector AVX-512 floating point operations with high performance. Higher core count processors deliver greater parallelism in high memory bandwidth configurations. These capabilities deliver performance and eliminate the need for accelerators for many organizations.

AI and cloud innovation have helped stimulate a golden age of HPC as well. The mass adoption of AI has introduced new thinking where AI is part of a simulation and modeling process along with a new ecosystem of industry-standard tools and workload-optimized, high performance hardware. New 2nd Generation Intel® Xeon® Scalable processors with Intel® Deep Learning Boost demonstrate a real convergence at the hardware level while facilitating better convergence for workloads.

The AI and Data Analytics mass driver

In a nutshell, the huge growth in electronically analyzable data coupled with a large, accessible open-source ecosystem of industry-standard AI and data analytics tools lets users work with data in ways that has transformed the computer industry and created a new era in HPC:

Figure 1: Adoption of AI across verticals

The supercomputer as an economic driver

The impact of AI on computing has been substantial. Narrative Science reports that 61% of study respondents are currently implementing AI, with predictive analytics as the most widely used type of AI-powered solution.[i] Similarly, AI continues to become more important to the enterprise; MarketWatch* estimates growth of the global AI market at a compound annual growth rate of 36% through 2024.[ii]

The need for workload-optimized servers

AI has made a large impact on HPC as discussed in this white paper, The Case for Running AI and Analytics on HPC Clusters . The data intensive nature of AI workloads and need to run them in HPC environments mean that vendors now speak in terms of “building blocks” that include processors, accelerators, fast storage and networking building blocks plus simulation and modeling-focused tools and optimization.

Many vendors now sell workload-optimized servers as building blocks that simplify cluster configuration and ensure performance. Intel® Select Solutions, for example, offers servers verified for optimized performance to ensure efficient operation including:

  • Processor and accelerator configuration
  • Scalable networking capability that supports AI and HPC
  • Scalable storage for data intensive workloads
  • Provide upgrade paths to new technologies including accelerators, dedicated neural network hardware (like the Intel Neural Processor), as well as FPGAs.

Summary

Succinctly, running AI and HPDA on HPC systems has clear advantages, which means both data science and HPC organizations must now support HPC-AI-HPDA workloads. Intel also supports the vision to pool multiple HPC-AI-HPDA clusters together inside a unified data environment to save money and user pain.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration.  No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation


[i] Outlook on Artificial Intelligence in the Enterprise 2018. Narrative Science https://medium.com/@narrativesci/2018-outlook-on-artificial-intelligence-b1b63a7386f4

[ii] Artificial Intelligence Market to Rise at Spectacular CAGR of 36.10% During 2016-2024, Players in End-use Industries Leverage its Potential to Automate Processes – TMR. MarketWatch, August 16, 2018, https://www.marketwatch.com/press-release/artificial-intelligence-market-to-rise-at-spectacular-cagr-of-3610-during-2016-2024-players-in-end-useindustries-leverage-its-potential-to-automate-processes—tmr-2018-08-16

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!

At Long Last, Supercomputing Helps to Map the Poles

August 22, 2019

“For years,” Paul Morin wrote, “those of us that made maps of the Poles apologized. We apologized for the blank spaces on maps, we apologized for mountains being in the wrong place and out-of-date information.” Read more…

By Oliver Peckham

Xilinx Says Its New FPGA is World’s Largest

August 21, 2019

In this age of exploding “technology disaggregation” – in which the Big Bang emanating from the Intel x86 CPU has produced significant advances in CPU chips and a raft of alternative, accelerated architectures... Read more…

By Doug Black

Supercomputers Generate Universes to Illuminate Galactic Formation

August 20, 2019

With advanced imaging and satellite technologies, it’s easier than ever to see a galaxy – but understanding how they form (a process that can take billions of years) is a different story. Now, a team of researchers f Read more…

By Oliver Peckham

AWS Solution Channel

Efficiency and Cost-Optimization for HPC Workloads – AWS Batch and Amazon EC2 Spot Instances

High Performance Computing on AWS leverages the power of cloud computing and the extreme scale it offers to achieve optimal HPC price/performance. With AWS you can right size your services to meet exactly the capacity requirements you need without having to overprovision or compromise capacity. Read more…

HPE Extreme Performance Solutions

Bring the combined power of HPC and AI to your business transformation

FPGA (Field Programmable Gate Array) acceleration cards are not new, as they’ve been commercially available since 1984. Typically, the emphasis around FPGAs has centered on the fact that they’re programmable accelerators, and that they can truly offer workload specific hardware acceleration solutions without requiring custom silicon. Read more…

IBM Accelerated Insights

Keys to Attracting the Newest HPC Talent – Post-Millennials

[Connect with HPC users and learn new skills in the IBM Spectrum LSF User Community.]

For engineers and scientists growing up in the 80s, the current state of HPC makes perfect sense. Read more…

Singularity Moves Up the Container Value Chain

August 20, 2019

The enterprise version of the Singularity HPC container platform released this week by Sylabs is designed to allow users to create, secure and share the high-end containers in self-hosted production deployments. The e Read more…

By George Leopold

At Long Last, Supercomputing Helps to Map the Poles

August 22, 2019

“For years,” Paul Morin wrote, “those of us that made maps of the Poles apologized. We apologized for the blank spaces on maps, we apologized for mountains being in the wrong place and out-of-date information.” Read more…

By Oliver Peckham

IBM Deepens Plunge into Open Source; OpenPOWER to Join Linux Foundation

August 20, 2019

IBM today announced it was contributing the instruction set (ISA) for its Power microprocessor and the designs for the Open Coherent Accelerator Processor Inter Read more…

By John Russell

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Scientists to Tap Exascale Computing to Unlock the Mystery of our Accelerating Universe

August 14, 2019

The universe and everything in it roared to life with the Big Bang approximately 13.8 billion years ago. It has continued expanding ever since. While we have a Read more…

By Rob Johnson

AI is the Next Exascale – Rick Stevens on What that Means and Why It’s Important

August 13, 2019

Twelve years ago the Department of Energy (DOE) was just beginning to explore what an exascale computing program might look like and what it might accomplish. Today, DOE is repeating that process for AI, once again starting with science community town halls to gather input and stimulate conversation. The town hall program... Read more…

By Tiffany Trader and John Russell

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Lenovo Drives Single-Socket Servers with AMD Epyc Rome CPUs

August 7, 2019

No summer doldrums here. As part of the AMD Epyc Rome launch event in San Francisco today, Lenovo announced two new single-socket servers, the ThinkSystem SR635 Read more…

By Doug Black

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

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

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

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

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

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

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

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

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

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By 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

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

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

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Qualcomm Invests in RISC-V Startup SiFive

June 7, 2019

Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…

By George Leopold

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