Lisa Compute Cluster: extra processing power for research
Lisa Compute Cluster combines processing power with user friendliness. Are the limits of your own system inhibiting your research? This service lets you upscale to a higher level. Lisa Compute Cluster is preconfigured with a range of software packages, meaning you can start working right away.
Lisa Compute Cluster offers extra processing power
Lisa Compute Cluster is a centrally managed Linux cluster, that is ideal for large-scale computations. It’s a service comprising a wide range of resources, compilers, and software, such as R statistics and MATLAB, and libraries, such as the Math Kernel Library (MKL) of Intel. SURFsara continually adjusts the service to the needs of the user community. For example, Lisa Compute Cluster includes accelerators (very fast processors) and high memory nodes (for users who need nodes with extra memory). When processing batch jobs, SURFsara applies a ‘fair share’ mechanism.
Many research projects are reaching their limits when it comes to the amount of data to be processed and the necessary processing power. This applies to researchers at universities and university hospitals, but also to companies doing research that requires a great deal of processing power.
For such projects, the power of Lisa Rekencluster offers the solution. Below are a number of examples of research projects in which Lisa's capacity has been successfully deployed:
- Do genes correlate with socio-economic characteristics? (Erasmus School of Economics)
- Computer models show the formation of new blood vessels (CWI)
- Shotgun sequencing offers greater insight into oral hygiene (ACTA)
- Genetic causes of psychiatric conditions (VU University Amsterdam)
- Improving solar cells using nanostructures (AMOLF)
- SURFsara supports Tata Steel casting technology calculations (Tata Steel)
Made to measure
We make sure that Lisa Compute Cluster gives you what you want. If you have specific requirements that the service does not (yet) fulfil, we can shape the system for you on a made-to-measure basis. To give one example, Lisa Compute Cluster provides 200 GB storage space as standard in your personal directory. And if that’s not enough, we can expand your storage space, with any associated backup, at your request.
One of our additional services is a workspace. This is your own Lisa Compute Cluster working environment providing you, for example, with access to extra storage or the use of applications with an interactive interface. In this way you can upscale your calculations from the workspace to Lisa Compute Cluster if you need more processing power.
As a user of Lisa Compute Cluster you can always call in the help of our support services. We can help you to run your own software or algorithm, for instance. Our team can install special software packages and will help you to make optimum use of the service or to parallelise your software. What’s more, you can consult manuals online for suggestions on improving performance, or follow a training.
Our helpdesk can be contacted by telephone or e-mail, or alternatively you can make an appointment with one of our staff. Ask your questions or report your problems via email@example.com or by telephone on +31-208001400. The helpdesk is open during business hours (9.00–17.00).
Would you like specific advice on optimising your code or achieving better performance? Then get in touch with our consultancy service.
Meer informatie en contact
You can find more (technical) information regarding the use of Lisa Compute Cluster on the pages with user information of the Lisa system. Are you looking for a printable version of the service description? You can download a service description of Lisa Compute Cluster in pdf. For further questions, please contact us at firstname.lastname@example.org.
If you use this service, you may also be interested in the following services:
Consultancy: independent advice
Our consultants support you from the first analysis of the problem to the final implementation. They provide independent advice on, among other things:
- Accessing the Grid
- submitting jobs
- how to ensure that Cartesius or the Lisa Computing Cluster deliver an even better performance
- methods for approaching your data
- design and optimisation of your own software
- the exact design of your data storage system
- how to organise your data infrastructure
- how to make optimal use of our calculation and storage facilities
- integrating your virtual infrastructure into your work processes
- optimisation of applications
- running your software in parallel for faster processing
Depending on the size and complexity of your question, you will receive a customised proposal. We offer you many options in the field of Big Data Services. This includes education and training, but also advice about architecture and the use of technology. For more information, please contact our consultancy service.
Long-term storage of research data
The Grid, the HPC Cloud and Data Ingest are all connected to the central archive of SURFsara. This archive offers you extensive options for storing your research data. In addition, you can also use the PID (Persistent Identifiers) service on data that is stored on SURFsara storage services, such as Data Archive. Do you want to store your data securely over long periods? Then make use of our Data Archive service.
Visualisation: immediately clarity of results
Do you work with calculations that produce large amounts of data? Then you should use our visualisation techniques and support. Visualisation helps you to better interpret the results of your calculations.
Application support: improve your performance
If you use Cartesius or Lisa, application support can be very useful for optimising and parallelising your software programs. By improving the performance, you can carry out more science with the same number of core hours. You can request application support using the Request form for application support.
An overview of the technical specifications of Lisa Compute Cluster (May 2018).
|Total number of cores||7484|
|Total memory||26 Tb|
|Total peak performance||149 TFlop/sec|
|Disk space||400 Tb|
|Operating system||Debian Linux|
Bandwith FDR: 56 Gbit/sec
Latency FDR: 1.3 µsec
|Total number of cores||276|
|Total memory||5,9 Tb|
|Total peak performance (SP)||1.026 TFlop/sec|
|Total peak performance (DP)||32 TFlop/sec|
|Disk space||400 TB for the home file systems|
|Operating system||Debian Linux|
|Interconnect||40 Gbit/s ethernet|
The Lisa system is constantly evolving and growing to satisfy the needs of the participants. Please find the current and complete configuration on our user website Userinfo.surfsara.nl.
If you have any questions about the technical infrastructure, contact email@example.com.