Sharing the wealth of HPC-driven apps with flexible as-a-service models

October 4, 2021

Growing numbers of IT shops are delivering high performance computing systems and the applications they support as on-demand services accessed via cloud connections.

In years past, high performance computing shops functioned as resources dedicated to the needs of scientists and engineers whose work required the computational power of a supercomputer. But not so today. In modern HPC shops, IT administrators function as service providers who cater to the needs of many rank-and-file HPC users who need more processing power than they can get on a desktop or laptop system.

Take the case of the University of Michigan, where the HPC specialists run an academic supercomputing center like an enterprise. They make the resources of their Great Lakes Supercomputer available to approximately 2,500 users who run hundreds of different applications. Even better, the reach of these HPC resources, based on systems from Dell Technologies, extends out into the community. For example, system users include MCity, a public-private initiative that brings together industry, government and academia to advance transportation safety, sustainability and accessibility.

The IT leaders at the University of Florida act in a similar manner with their UF Innovate hub, the University’s technology business incubator. Among other support functions, UF Innovate gives start-up companies access to a Dell Technologies supercomputer for high performance computation, data visualization and analysis. This HPC system, known as HiPerGator, accelerates diverse research workloads with the power of more than 46,000 CPU cores.

Bringing HPC to the masses — via cloud connections

So how do today’s IT shops extend the goodness of HPC to thousands of users? Increasingly, the answer is a multi-cloud environment that gives users web-based access to a wide variety of HPC systems, both in on-premises private clouds and in public clouds.

The University of Michigan, for example, provides its academic community with easy access to on-premises HPC clusters via its Open OnDemand program and to public cloud computing platforms via its ITS Cloud Services program.

The University of Florida does much the same via its version of the Open OnDemand service, which connects the university community to the HiPerGator cluster to accelerate compute- and data-intensive scientific workloads. To work on HiPerGator, users connect to the system from a local computer via an SSH terminal session or through web application interfaces provided by the UF Research Computing team.

Meanwhile, out on the West Coast, the San Diego Supercomputer Center (SDSC) at the University of California, San Diego, offers its cloud-based OnDemand system to users who require immediate access to a supercomputer for event-driven science. Urgent applications that might make use of the OnDemand system range from making movies of earthquakes to providing near real-time warnings based on predictions about the path of tornados, hurricanes and toxic plumes.

Automating processes and educating users

This brings us to another question. With such a vast variety of jobs coming in from all over the place, how do HPC shops direct those jobs to the right infrastructure? In a word: automation.

SDSC, for example, automates the process with software that automatically determines where a job will run, matching the right job with the right IT resources. To enable this process with its Expanse supercomputer from Dell Technologies, SDSC is pioneering composable HPC systems that dynamically allocate resources tailored to individual workloads.

In addition to automating access to the right supercomputing resources, HPC shops are focusing heavily on education and training to help their users gain the greatest value from HPC clusters. This includes detailed online instructions, expert guidance and tips from people who have been there before. They all have teams to help people optimize their code, optimize the infrastructure and optimize the results.

This is the case at the University of Michigan, where the Advanced Research Computing – Technology Services team provides workshops on such topics as GPU programming, writing machine learning code, choosing machine learning tools, and building and training deep learning models.

Everything is an HPC workload

Research computing is all about collaborating to make the next big scientific discovery or technological innovation. And to make this research happen, we need high performance computing systems. Whether it’s unlocking the secrets of a deadly virus like SARS-CoV-2 or simulating the consequences of an earthquake, HPC is now an essential tool for scientific research.

HPC is also an essential tool for new applications for data analytics, artificial intelligence, machine learning and deep learning. For these and other applications, HPC technologies serve as the engine under the hood, helping us turn raw data into valuable insights. To that end, HPC systems provide big memory to enable applications like image recognition, visualizations and molecular dynamics simulations. They offer GPUs for training deep learning workloads, and CPUs for machine learning and inferencing jobs that perform well in HPC systems.

And increasingly, it’s all available under as-a-service approaches that incorporate things like data pipeline tools for ingesting and processing data from a variety of sources, systems tailored to calculations that require large amounts of physical memory, and storage clusters that hold petabytes of data for solving scientific problems. You name it, and you can probably get it as a service, via a cloud interface.

Gaining hands-on experience

To reduce the risk associated with new technology investments and improve speed of implementation, Dell Technologies invites customers to experience HPC-driven solutions firsthand in a global network of dedicated facilities. These Customer Solution Centers are trusted environments where world-class IT experts collaborate to share best practices, facilitate discussions of effective business strategies, and use briefings, workshops and proofs-of-concept to accelerate IT initiatives.

Other Dell Technologies resources available to support modern computing initiatives include  the HPC & AI Innovation Lab, HPC & AI Centers of Excellence and the Dell Technologies HPC Community.

For a closer look the HPC environments of the institutions discussed here, check out these assets:

 

Subscribe to HPCwire's Weekly Update!

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

U.S. Quantum Director Charles Tahan Calls for NQIA Reauthorization Now

February 29, 2024

(February 29, 2024) Origin stories make the best superhero movies. I am no superhero, but I still remember what my undergraduate thesis advisor said when I told him that I wanted to design quantum computers in graduate s Read more…

pNFS Provides Performance and New Possibilities

February 29, 2024

At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift is propelled by the advent of artificial intelligence (AI), Read more…

Celebrating 35 Years of HPCwire by Recognizing 35 HPC Trailblazers

February 29, 2024

In 1988, a new IEEE conference debuted in Orlando, Florida. The planners were expecting 200-300 attendees because the conference was focused on an obscure topic called supercomputing, but when it was announced that S Read more…

Forrester’s State of AI Report Suggests a Wave of Disruption Is Coming

February 28, 2024

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with technology itself. During this early phase of GenAI technol Read more…

Q-Roundup: Google on Optimizing Circuits; St. Jude Uses GenAI; Hunting Majorana; Global Movers

February 27, 2024

Last week, a Google-led team reported developing a new tool - AlphaTensor Quantum - based on deep reinforcement learning (DRL) to better optimize circuits. A week earlier a team working with St. Jude Children’s Hospita Read more…

AWS Solution Channel

Shutterstock 2283618597

Deep-dive into Ansys Fluent performance on Ansys Gateway powered by AWS

Today, we’re going to deep-dive into the performance and associated cost of running computational fluid dynamics (CFD) simulations on AWS using Ansys Fluent through the Ansys Gateway powered by AWS (or just “Ansys Gateway” for the rest of this post). Read more…

Argonne Aurora Walk About Video

February 27, 2024

In November 2023, Aurora was ranked #2 on the Top 500 list. That ranking was with half of Aurora running the HPL benchmark. It seems after much delay, 2024 will finally be Aurora's time in the spotlight. For those cur Read more…

Royalty-free stock illustration ID: 1988202119

pNFS Provides Performance and New Possibilities

February 29, 2024

At the cusp of a new era in technology, enterprise IT stands on the brink of the most profound transformation since the Internet's inception. This seismic shift Read more…

Celebrating 35 Years of HPCwire by Recognizing 35 HPC Trailblazers

February 29, 2024

In 1988, a new IEEE conference debuted in Orlando, Florida. The planners were expecting 200-300 attendees because the conference was focused on an obscure t Read more…

Forrester’s State of AI Report Suggests a Wave of Disruption Is Coming

February 28, 2024

The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with Read more…

Q-Roundup: Google on Optimizing Circuits; St. Jude Uses GenAI; Hunting Majorana; Global Movers

February 27, 2024

Last week, a Google-led team reported developing a new tool - AlphaTensor Quantum - based on deep reinforcement learning (DRL) to better optimize circuits. A we Read more…

South African Cluster Competition Team Enjoys Big Texas HPC Adventure

February 26, 2024

Texas A&M University's High-Performance Research Computing (HPRC) hosted an elite South African delegation on February 8 - undergraduate computer science (a Read more…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

Apple Rolls out Post Quantum Security for iOS

February 21, 2024

Think implementing so-called Post Quantum Cryptography (PQC) isn't important because quantum computers able to decrypt current RSA codes don’t yet exist? Not Read more…

QED-C Issues New Quantum Benchmarking Paper

February 20, 2024

The Quantum Economic Development Consortium last week released a new paper on benchmarking – Quantum Algorithm Exploration using Application-Oriented Performa Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia Wins SC23, But Gets Socked by Microsoft’s AI Chip

November 16, 2023

Nvidia was invisible with a very small booth and limited floor presence, but thanks to its sheer AI dominance, it was a winner at the Supercomputing 2023. Nv Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

Royalty-free stock illustration ID: 1675260034

RISC-V Summit: Ghosts of x86 and ARM Linger

November 12, 2023

Editor note: See SC23 RISC-V events at the end of the article At this year's RISC-V Summit, the unofficial motto was "drain the swamp," that is, x86 and Read more…

China Deploys Massive RISC-V Server in Commercial Cloud

November 8, 2023

If the U.S. government intends to curb China's adoption of emerging RISC-V architecture to develop homegrown chips, it may be getting late. Last month, China Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Chinese Company Developing 64-core RISC-V Chip with Tech from U.S.

November 13, 2023

Chinese chip maker SophGo is developing a RISC-V chip based on designs from the U.S. company SiFive, which highlights challenges the U.S. government may face in Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Royalty-free stock illustration ID: 1182444949

Forget Zettascale, Trouble is Brewing in Scaling Exascale Supercomputers

November 14, 2023

In 2021, Intel famously declared its goal to get to zettascale supercomputing by 2027, or scaling today's Exascale computers by 1,000 times. Moving forward t Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire