The SEA Projects Are Preparing Europe for the Future of Supercomputing

March 14, 2024

March 14, 2024 — The HPC research projects DEEP-SEA, IO-SEA, and RED-SEA are wrapping up this month after a three-year project term. The three projects worked together to develop key technologies for European Exascale supercomputers based on the Modular Supercomputing Architecture (MSA), a blueprint architecture for highly efficient and scalable heterogeneous Exascale HPC systems.

To achieve this goal, the three projects collaborated on system software and programming environments, data management and storage, as well as interconnects adapted to this architecture. The results of their joint work will be presented at a co-design workshop and poster session at the EuroHPC Summit (Antwerp, 18-21 March).

The Future of Supercomputing is Exascale

DEEP-SEA, IO-SEA, and RED-SEA are part of a larger family of research and innovation projects co-funded by the EuroHPC Joint Undertaking to prepare key technology and solutions for the “Exascale era” in supercomputing. This upcoming Exascale generation will be capable of performing at least 1018 floating point operations per second and enable novel and more accurate scientific applications.

Exascale supercomputers are much more complex than previous generations of slower systems and combine a wide range of different hardware components for specific purposes. They must integrate resources such as CPUs, GPUs, and other accelerators, as well as communication, memory, and storage technologies, into one system that supports traditional HPC simulations, artificial intelligence, and big data analysis.

A Modular Supercomputing Architecture for European Exascale supercomputers 

The MSA was designed for this very purpose. It is based on a novel system design to integrate heterogeneous resources and technologies and fulfill the requirements of a wide range of application areas, from compute-intensive, highly scalable simulation codes to data-intensive artificial intelligence workflows. Different workload components run on the module that are best suited to them, which improves time-to-solution and energy efficiency.

The Jülich Supercomputing Centre’s (JSC) new JUPITER supercomputer will be based on this architecture. JUPITER, the installation of which starts in 2024, is co-funded by the EuroHPC JU, the German Ministry of Education and Research, and the Ministry of Culture and Research of the German state of North Rhine-Westphalia.

To implement, extend, and enhance the MSA, the three SEA projects worked on different tasks: DEEP-SEA, spearheaded by the JSC, focused on the programming environment and the HPC software stack. IO-SEA, led by CEA, prototyped a novel data management and storage platform. RED-SEA, headed by Eviden, prepared the next generation of the European BXI (Bull eXascale Interconnect) and its related software stack.

While the three SEA projects are independent, they are interlinked and collaborate closely to make efficient systems implementing the MSA possible. They build upon the results of other previous projects co-funded by the European Commission and draw on a vast network of ongoing partner projects, institutions, and private companies from all over Europe.

The EuroHPC Summit 2024 – A Great Opportunity to Showcase the Project Results 

The integrated software stack developed by DEEP-SEA is one of the key results of the projects, alongside the establishment of the MSA in large, operational systems like JSC’s JUWELS and the MeluXina system in Luxembourg and soon in the JUPITER system. The stack integrates “best of breed” programming models, APIs, tools, and libraries that are also relevant for non-modular HPC systems.

In particular, the abstraction of optimization cycles, the support of hierarchical storage systems, and modern CI/CD techniques will directly benefit such systems. This abstraction also applies to the pioneering work in the area of malleability. The stack is freely available as open source to all interested parties.

Prof. Thomas Lippert, director of JSC: “Based on the groundbreaking results of the previous DEEP projects, the solid, comprehensive HPC SW stack developed by DEEP-SEA makes systems based on the modular supercomputing architecture (MSA) easily usable for HPC application developers and end users and is therefore of prime importance for the future of MSA in general and especially for the upcoming JUPITER Exascale system at JSC and other modular systems all around the world.”

IO-SEA developed a storage and I/O stack suitable for the MSA that deals with data movements across hierarchical storage systems, including novel non-volatile memory, solid-state devices, hard disk drives, and tape storage. IO-SEA also developed the concept of short-lived “ephemeral storage services” that are created on demand and enable users to operate the system flexibly. The project also introduced extensive use and exploitation of instrumentation and telemetry across the I/O stack and new I/O APIs that expose the actual semantics of data.

Dr. Philippe Deniel, Scientific Coordinator of the IO-SEA Project: “The Exascale era is a major step forward for mass storage, which will have to face many new challenges as the currently used storage models will not scale up and will turn I/O operations into critical bottlenecks. The IO-SEA software stack introduces new features and paradigms to prevent this situation, offering a nondisruptive integration path for applications. The EUPEX community will use the stack in the future. Furthermore, the stack is planned to be integrated into the second EuroHPC Exascale machine hosted in France.”

The RED-SEA project has laid the groundwork for developing and industrialization of the third generation of the European BXI interconnect. The project helped to bring BXI to the Exascale level, with improved scalability and resilience to reach well over 100K end-points while significantly improving the latency and the bandwidth available for each end-point. RED-SEA also addressed real-world network performance with congestion management and adaptive routing mechanisms. Finally, RED-SEA opened up BXI to Ethernet compatibility by designing a seamless interface between BXI and Ethernet via a new low-latency Gateway solution.

Laurent Cargemel, Head of Strategy, Innovation, and R&D of BDS at Eviden: “The interconnect network is the heart and arteries of a supercomputer: the larger the system, the more critical its role becomes. Nowadays, the interconnect network must also support new levels of complexity with mixed workflows and heterogeneous systems. RED-SEA brings a European solution to these challenges, a solution that will be used in the EUPEX Pilot system and potentially in the second EuroHPC Exascale machine hosted in France.”

The EuroHPC Summit, which takes place from 18 to 21 March in Antwerp, Belgium, offers interested parties the opportunity to learn about the results. The projects will co-host the workshop on “Co-Designing the Future of European HPC: Eco-friendly Technologies, Systems, and Software,” which will highlight technology areas developed in Europe as a result of successful co-design, including the SEA projects’ outcomes. The projects will present their results in the poster session.


Source: SEA Projects

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!

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical claims. A paper published on July 10 by researchers in the U. Read more…

Belt-Tightening in Store for Most Federal FY25 Science Budets

July 15, 2024

If it’s summer, it’s federal budgeting time, not to mention an election year as well. There’s an excellent summary of the curent state of FY25 efforts reported in AIP’s policy FYI: Science Policy News. Belt-tight Read more…

Peter Shor Wins IEEE 2025 Shannon Award

July 15, 2024

Peter Shor, the MIT mathematician whose ‘Shor’s algorithm’ sent shivers of fear through the encryption community and helped galvanize ongoing efforts to build quantum computers, has been named the 2025 winner of th Read more…

Weekly Wire Roundup: July 8-July 12, 2024

July 12, 2024

HPC news can get pretty sleepy in June and July, but this week saw a bump in activity midweek as Americans realized they still had work to do after the previous holiday weekend. The world outside the United States also s Read more…

Nvidia, Intel not Welcomed in New Apple AI and HPC Development Tools

July 12, 2024

New Mac developer tools will leverage Apple's homegrown chips, limiting HPC users' ability to use parallel programming frameworks from Intel or Nvidia. Apple's latest programming framework, Xcode 16, was introduced at Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l 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…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire