Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

What’s New and What’s Next in 2023 for HPC

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As more organizations rely on HPC to speed time to results, especially for their data-intensive applications, the $40B market[1] faces challenges and opportunities. Fortunately, the HPC community is both collaborative and transparent in our work to apply and advance supercomputing technologies. 

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. 

Answers to Supercomputing Challenges

We identified the following challenges and here provide leading thoughts on each concern.

Sustainability: As the HPC market grows, so do the implications of running such energy-intensive and complex infrastructure. In an effort to achieve sustainability, industry leaders are prioritizing ways to reduce CO2 impact and even decarbonize HPC—not an easy task with total power usage increasing. What’s motivating our move to energy reduction:

  • A dependence on expensive fossil fuels that makes supercomputing more costly overall
  • The high and unfavorable environmental impact of fossil fuel-based energy
  • Pressure from governmental agencies to design more efficient solutions and data centers

Though HPC customers want to measure their own energy usage, the tools to do so may not yet offer sufficient metrics at the application scale. Alternatively, some in the European Union are shifting their priority from trying to run operations faster, to trying to run them with lower power consumption. This calls for experimenting with more efficient choices like running workloads with different chips. 

Cooling: Over the next few years, we will see an increase in the use of silicon processors and accelerators which require significantly more power—and thus generate more heat. As leaders in the HPC industry, we are worried about how to cool these data centers. 

Many are looking at innovative data center designs including modular centers and colocation. Another big focus is on liquid cooling.[2] Direct liquid cooling offers superior thermal management and five times the cooling capacity of air flow. Immersion cooling leverages oil-based engineered fluids for a high performance, complex cooling solution. Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers.

Scaling out and developing large-scale systems: To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. It’s a tall order, and one that will hinge on a few factors:

  • Accelerator deployment and management at scale
  • Changes to power and cooling design decisions at very large scale
  • Open-source deployment of high-performance clusters to run simulation, AI, and data analytics workloads

What’s New and Growing Among HPC Users? 

In the HPC industry, we are experiencing and driving massive shifts in terms of what we do, and how and where we do it. Here are the shifts we noted:

Delivery Models: Moving from an almost strictly on-premises systems approach (with some remote access services), HPC is embracing remote delivery models. Customer interest in HPC delivery models like colocation, managed services, and cloud computing is driven by tremendous growth in service-based models (including IaaS/PaaS/SaaS) along with on-demand and subscription payment models. Of course, data center challenges are also driving demand for these alternatives. New solutions, including Dell APEX HPC Services and HPC on Demand, address these customer requirements and wants.

Workflow Optimization from Edge to Core/Cloud and Back: Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC. Due to the rapid growth in data sizes, there’s an increased need for HPC solutions that can run large training models. At the same time, these models can complement simulation, guiding targets or reducing parameter space for some problems. In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments.

Data Processing Units: We anticipate a jump in DPU usage but must support customers in figuring out which use cases offer quantifiable advantages in price/performance and performance/watt. It’s important to note that more research and benchmark comparisons are needed to help customers make the best decisions. Some examples of when DPUs can be advantageous for HPC workloads include: 

  • Collective operations
  • Bare metal provisioning for maximum HPC performance by moving the hypervisor to the DPU, freeing up CPU cycles
  • Improving communications by task offload; If codes are task-based, the user can potentially move tasks to less busy nodes

Composable Infrastructure: We note the benefits in resource utilization offered by composable infrastructure, but still see uncertainty about whether it’s the future or a niche. As with DPUs, more research and quantifiable comparisons are needed to support customers in determining whether composable infrastructure is right for their next system. Yes, specific AI workflows require special hardware configurations. Though composable infrastructure may remove the restrictions of traditional architectures, there’s debate[3] about whether it can scale and whether the ROI would be reached by increased flexibility and utilization.

Quantum computing: 

As an HPC community, we share a growing consensus that quantum computing systems (QC) will and must be integrated with ‘classical’ HPC systems. QC systems are superior only at certain types of calculations and thus may best serve as accelerators. At Dell Technologies we have developed a hybrid classical/quantum platform that leverages Dell PowerEdge servers with Qiskit Dell Runtime, and IonQ Aria quantum processing units. With the platform, classical and quantum simulation workloads can execute on‐premises, while quantum workloads, such as modeling larger and more complex molecules for pharmacological development, can be executed with IonQ QPUs.[4]

The HPC Outlook for 2023

The impressively large HPC market continues to grow at a healthy rate, fueled by commercial demand for data processing and AI/ML training. HPC workloads and delivery models are more diverse than ever, leading to a more diverse customer community. And in HPC, community is important. Though we face some of the greatest challenges in application, system and data center scaling, HPC technologies remain at the leading edge of computing. 

As a community, we keep sharing information and we stay on top of developments to realize the maximum benefits of HPC. A robust resource for sharing, learning and networking can be found with the Dell HPC Community, found at dellhpc.org. This global community of HPC customers, users and companies comes together for weekly online events that are open to all as well as in-person meetings scheduled three times a year. 

Engage with the Dell HPC community by visiting dellhpc.org.


[1] https://www.hpcwire.com/2022/05/30/hyperion-hpc-market-is-stabilizing-and-headed-to-50b-by-2026/

[2] https://www.dell.com/en-us/dt/servers/power-and-cooling.htm#tab0=0

[3] https://sc22.supercomputing.org/presentation/?id=pan117&sess=sess183

[4] https://www.delltechnologies.com/asset/en-us/products/ready-solutions/briefs-summaries/hybrid-quantum-solution-brief.pdf.external

***

Intel® Technologies Move Analytics Forward

Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.

IT Leadership


Read More from This Article: What’s New and What’s Next in 2023 for HPC
Source: News

Category: NewsJanuary 4, 2023
Tags: art

Post navigation

PreviousPrevious post:Salesforce to cut 10% of its global workforce in restructuring planNextNext post:Kudzai Kanhutu, Dean Royal Australasian College of Physicians, Infectious diseases specialist with Royal Melbourne Hospital

Related posts

Barb Wixom and MIT CISR on managing data like a product
May 30, 2025
Avery Dennison takes culture-first approach to AI transformation
May 30, 2025
The agentic AI assist Stanford University cancer care staff needed
May 30, 2025
Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
May 30, 2025
“AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
May 30, 2025
“ROI는 어디에?” AI 도입을 재고하게 만드는 실패 사례
May 30, 2025
Recent Posts
  • Barb Wixom and MIT CISR on managing data like a product
  • Avery Dennison takes culture-first approach to AI transformation
  • The agentic AI assist Stanford University cancer care staff needed
  • Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
  • “AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.