Machine information
HPC Resources
| Machine name | Picasso |
| % of the machine provided to RES | 20 % |
| Peak performance | 4 PFlop/s |
| Main memory | 156 TB |
| Number of nodes | 310 |
| Main nodes characteristics |
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| Type of CPU | Intel Xeon Gold 6230R, 26 cores per processor, 2.1GHz AMD EPYC 7H12, 64 cores per processor, 2.6 GHz |
| Other characteristics | 4 nodes nvidia DGX with 8 gpus each |
| Disk storage | 881 TB net |
| Interconnection networks | Infiniband HDR 200 |
| Operating system | openSuse 15.3 |
Data projects Resources
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Core Features: Archival projects and Data storage, regardless of discipline |
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Available storage space (TB) |
2000 TB |
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Standard protocol for external access |
Acceso mediante cuenta local, o por S3 con proxy |
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Standard data transfer protocol |
ftp and rsync |
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High speed network connection RedIRIS/autonomous networks |
Yes |
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Backup protocol |
No |
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Security system |
Yes |
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Monitorization system |
Yes |
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Personnel assigned to support users who access the center through the network |
FTEs |
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Optional characteristics: data storage and exploration projects (basic exploitation), generic and/or specific by subject area |
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Federated access protocol (EduGAIN, SIR, …) |
No |
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Optimized transfer system for large volumes of data |
Yes, rsync |
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Treatment of personal data and ethics committee |
No |
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Data management policy |
TBA |
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Additional features: More specific exploitation projects, with advanced tools, and/or depending on the subject area |
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Data services for scientific projects (maintained by the node) |
TBA |
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Support and consulting service for other nodes of the data network |
No |
Support team / Contact
The Support Team is responsible for direct user support providing detailed knowledge of programming models, libraries, performance tools and applications, having more than 300 applications available in Picasso.
Support is available via email in the address res_support@res.uma.es
