Now the work with the supercomputer LUMI begins
The procurement process of LUMI (Large Unified Modern Infrastructure) has now been completed and the system vendor has been selected so that the supercomputer can become operational for next year.
LUMI is a unique European supercomputer initiative that includes ten countries, including Denmark, and EuroHPC Joint Undertaking (EuroHPC JU), which together invest in a very large research computer with a top performance of 552 petaflop / s. Danish Universities are part of LUMI with DeiC as administrator.
It is about a year ago that the hosting agreement was signed, and now the system provider is also in place. The LUMI system is provided by Hewlett Packard Enterprise (HPE) and is based on the HPE Cray EX supercomputer. In addition to its remarkable computing power, LUMI is also one of the world's most advanced artificial intelligence (AI) platforms.
"Once operational in mid-2021, the LUMI-supercomputer will be one of the most competitive and green supercomputers in the world. A high-quality system that will support European researchers, industry and the public sector to better understand and respond to complex challenges and transform them into innovation opportunities in sectors such as health, weather forecasts or urban and rural planning”, says Anders Dam Jensen, Executive Director of EuroHPC Joint Undertaking, to CSC in Finland, where the computer must be physically located.
A sketch of LUMI, an HPC Cray EX supercomputer.Copyright: Hewlett Packard Enterprise.
Read more about LUMI here.
You can also read much more about the LUMI project at deic.dk:
LUMI's system architecture will look like this (source: CSC):
- The LUMI system will be supplied by Hewlett Packard Enterprise (HPE), based on an HPE Cray EX supercomputer.
- The peak performance of LUMI is an astonishing 552 petaflop/s meaning 552 * 1015 floating point operations per second. This figure makes LUMI one of the world’s fastest supercomputers. For comparison, the world’s fastest computer today (Fugaku in Japan) reaches 513 petaflop/s and the second fastest (Summit in the US) 200 petaflop/s (more information: www.top500.org). If LUMI’s computing power was compared to normal laptops, it would require 1.5 million laptops together to reach the performance of LUMI. If these laptops were piled up, they would form a tower of over 23 kilometers high!
- LUMI will also be one of the most advanced platforms in the world for artificial intelligence (AI). With LUMI, it will be possible to combine AI, especially deep learning, and traditional large scale simulations combined with massive scale data analytics in solving one research problem.
- The number crunching capability of LUMI is accelerated by the GPU (Graphics Processing Unit) partition. It is based on the future generation AMD Instinct™ GPU.
- LUMI will be complemented by a CPU (Central Processing Unit) partition, featuring 64-core next-generation AMD EPYC™ CPUs.
- LUMI’s data analytics partition has 32 an aggregated terabytes of memory and 64 visualization GPUs. This partition is used e.g. for visualization, heavy data analysis, meshing and pre/post-processing.
- LUMI’s storage system will consist of three components. First, there will be a 7-petabyte partition of ultra-fast flash storage, combined with a more traditional 80-petabyte capacity storage, both based on the Lustre parallel filesystem, as well as a data management service, based on Ceph and being 30 petabytes in volume.
- In total, LUMI will have an astounding storage of 117 petabytes and an impressive aggregated I/O bandwidth of 2 terabytes per second
- LUMI will also have an OpenShift/Kubernetes container cloud platform for running microservices.
- All the different compute and storage partitions are connected to the very fast Cray Slingshot interconnect of 200 Gbit/s. The global bandwidth of the LUMI-GPU partition is 160 TB/s. The global Internet traffic would fit therein, in fact two times!
- LUMI takes over 150m2 of space, which is about the size of a tennis court. The weight of the system is nearly 150 000 kilograms (150 metric tons).