Picasso - UMA
The Supercomputing and Bioinnovation Center of the University of Malaga (UMA) provides scientific support and resources to researchers at UMA, the PAB (Andalusian Bioinformatics Platform), and the RES. The most powerful supercomputer available at the SCBI of UMA is the Picasso supercomputer. UMA has a strong tradition in supercomputing that dates back to the 1990s when parallel computers began to be used for research and computationally intensive applications. It was in 1997 when the first Picasso was installed, an SGI Origin 2000, which has been updated over time in terms of resources, users, and software to the present day. To visit Picasso at the SCBI, you can send an email requesting the visit below.
HPC resources
Machine name | Picasso |
% of the machine destined to RES | 24 % |
Peak performance | 4.34 PFlop/s |
Main memory | 182 TB |
Number of nodes and cores | 344 nodes (38 296 cores) |
Main nodes characteristics | 126 SD530 nodes: 2x Intel Xeon Gold 6230R and 192 GB of RAM 156 Lenovo sr645 nodes, 2x AMD EPYC 7H12 and 512GB of RAM 24 BULL R282-Z90 nodes, 2x AMD EPYC 7H12 and 2048 TB of RAM 34 Lenovo sr645 v3 nodes, 2x AMD EPYC 9754 and 768 GB of RAM |
CPU type | 126 nodes: 2x Intel Xeon Gold 6230R+ 26 cores 2.1 GHz 34 nodes: 2x AMD EPYC 9754 128 cores 2.25GHz |
Additional nodes | 4 NVIDIA DGX nodes: 8x NVIDIA A100 GPU |
Disk storage | 885 TB of net capacity |
Interconnection network | Infiniband HDR up to 400 Gbps |
Operating System | OpenSUSE 15.4 |
DATA resources
Core Features: Archival projects and Data storage, regardless of discipline | |
Available storage space | 2000 TB |
Standard protocol for external access | Access via local account or S3 with proxy |
Standard data transfer protocol | FTP and rsync |
RedIRIS high speed network connection | Yes |
Backup protocol | No |
Security system | Yes |
Monitoring system | Yes |
Personnel assigned to support users | 5 FTEs: |
Optional features: data storage and exploration projects (basic exploitation), generic and/or specific by subject area | |
Federated access protocol (EduGAIN, SIR ...) | No |
Transfer system optimized for large volumes of data | Rsync |
Treatment of personal data and ethics committee | No |
Data management policy | TBA |
Additional features: More specific exploitation projects, with advanced tools, and/or depending on the subject area | |
Data services for scientific projects | TBA |
Support and consulting services for other noders of the data network | No |
Support team
From the SCBI at UMA, resources and guidance on Supercomputing and Bioinformatics are provided, with over three hundred applications available. Support is provided via email through the address res_support@res.uma.es.
