LUMI Extreme Scale Access - Services for Research
LUMI Extreme Scale Access
At the moment, LUMI consists of a CPU partition (LUMI-C) and GPU partition (LUMI-G) that you can apply for Extreme Scale Access project.
The call is aimed at high-impact, high-gain innovative research, open to all fields of science justifying the need for extremely large allocations in terms of computing time (especially GPU) and data storage. The call for the Finnish Extreme Scale Access projects is organized by CSC, and it is open for researchers in Finnish higher education and research institutions. The awarded resources are part of Finland’s share of LUMI. The calls will be organized once a year.
Other access modes (e.g. Regular Access) are reserved to lower resource needs. These access modes are described on the LUMI website's Users in Finland section.
Applicants for the Extreme Scale Calls need to:
- Demonstrate that the research requires the use of extremely large allocations to reach the objectives.
- Demonstrate that the methods, softwares and tools are technically adapted to LUMI GPU. This can be shown by technical data collected from GPU systems currently available (Mahti GPU, Puhti GPU, LUMI Early Access Platform or other large accelerated systems, such as Piz Daint), see below.
- Provide a project plan, with adequate time schedule of the expected resource consumption during the lifetime of the project.
- The Extreme Scale Call projects are awarded resources in GPU hours, CPU core-hours, and storage hours. These are limited between 0.5–2 million GPU hours and max. 16 million CPU core-hours. The awarded resources have to be consumed within a year.
- The proposals will go through a technical review and a scientific evaluation. The scientific evaluation will be done by an international panel.
- The link to fill in the project application will be separate for each call.
- LUMI's resources are not awarded in billing units as for other CSC services.
Adaptation to LUMI-G in Extreme Scale Access
LUMI-G will be available in September 2022 after the second phase of LUMI installation.
LUMI Early Access Platform is now available with MI100 GPUs for code development and testing. When planning to apply for LUMI-G resources please consider:
- The codes in the proposed Extreme Scale Access projects need to be compatible with the LUMI-G architecture and its next generation AMD CPUs and, especially, GPUs.
- The proposal must justify the technical feasibility of the intended applications: explain why and how the code will be able to be run AMD GPUs on LUMI.
- Codes already GPU enabled may be ported to LUMI-G. For example, codes using CUDA can typically be converted to use HIP with modest effort and good performance.
- GPU offloading with OpenMP or OpenACC is also supported to certain extent.
For more information, please visit:
We encourage the applicants to contact firstname.lastname@example.org if they need any further information regarding the compatibility of their codes or support in LUMI porting.