Three HPC research projects, DEEP-SEA, IO-SEA, and RED-SEA, are concluding after a three-year endeavor to develop key technologies for European Exascale supercomputers, focusing on the Modular Supercomputing Architecture (MSA).
- The MSA allows for highly efficient and scalable Exascale HPC systems, capable of performing at least 10^18 floating point operations per second.
- The MSA integrates various hardware components, such as CPUs, GPUs, and accelerators, into one system, improving time-to-solution and energy efficiency.
- The integrated software stack developed by DEEP-SEA has been successfully implemented in operational systems and will be integrated into upcoming Exascale systems.
Three HPC research projects, DEEP-SEA, IO-SEA, and RED-SEA, are set to conclude this month after a three-year endeavor. These projects have been working in collaboration to develop key technologies for European Exascale supercomputers, which are capable of performing at least 10^18 floating point operations per second. The projects have focused on the Modular Supercomputing Architecture (MSA), a blueprint architecture designed to create highly efficient and scalable Exascale HPC systems.
The MSA is specifically designed to integrate various hardware components, such as CPUs, GPUs, and accelerators, into one system that supports both traditional HPC simulations and emerging technologies like artificial intelligence and big data analysis. It allows different workload components to run on the module that is best suited for them, improving time-to-solution and energy efficiency.
The Jülich Supercomputing Centre’s (JSC) upcoming JUPITER supercomputer, set to begin installation in 2024, will be based on the MSA. The project is co-funded by the EuroHPC Joint Undertaking, the German Ministry of Education and Research, and the Ministry of Culture and Research of the German state of North Rhine-Westphalia.
The three SEA projects have worked on different aspects to implement, extend, and enhance the MSA. DEEP-SEA has focused on the programming environment and software stack, IO-SEA has developed a data management and storage platform, and RED-SEA has worked on improving the European BXI interconnect technology. While these projects are independent, they collaborate closely to ensure efficient systems implementing the MSA.
The results of their joint work will be presented at a co-design workshop and poster session at the EuroHPC Summit in Antwerp from March 18th to 21st. This summit provides an opportunity for interested parties to learn about the outcomes of these projects and other European co-design efforts.
The integrated software stack developed by DEEP-SEA is one of the key results of these projects. It has been successfully implemented in operational systems like JSC’s JUWELS and the MeluXina system in Luxembourg, with plans to be integrated into the JUPITER system. IO-SEA has developed a storage and I/O stack suitable for the MSA, addressing data movements across hierarchical storage systems. RED-SEA has laid the groundwork for the third generation of the European BXI interconnect, improving scalability, resilience, Latency, and bandwidth.
Prof. Thomas Lippert, director of JSC, emphasizes the importance of the DEEP-SEA software stack for the future of MSA and upcoming Exascale systems. Dr. Philippe Deniel, Scientific Coordinator of the IO-SEA Project, highlights the challenges faced by mass storage in the Exascale era and the solutions provided by the IO-SEA software stack. Laurent Cargemel, Head of Strategy, Innovation and R&D of BDS at Eviden, emphasizes the critical role of the interconnect network in supercomputers and the European solution offered by RED-SEA.
The SEA projects have received funding from the European High-Performance Computing Joint Undertaking and support from various European countries. For more information about these projects, visit sea-projects.eu.
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HPC: HPC, or High Performance Computing, is a type of technology that allows computers to perform complex calculations and process large amounts of data at incredibly high speeds. This is achieved through the use of specialized hardware and software, such as supercomputers and parallel processing techniques. In the computer industry, HPC has a wide range of applications, from weather forecasting and scientific research to financial modeling and artificial intelligence. It enables researchers and businesses to tackle complex problems and analyze vast amounts of data in a fraction of the time it would take with traditional computing methods. HPC has revolutionized the way we approach data analysis and has opened up new possibilities for innovation and discovery in various fields.
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Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.
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