Machine information
HPC Resources
| Machine name | Agustina |
| % of the machine provided to RES | To be determined |
| Peak performance | 537 TFLOPS |
| Main memory | 24.75 TB |
| Number of nodes |
96 (93 Thin nodes + 3 FAT nodes) |
| Main nodes characteristics |
2 x AMD Epyc 7513A 2.6Ghz |
| Type of CPU |
AMD Epyc 7513A 2.6Ghz |
| Number of cores per node | 64 cores/node |
| GFlops per core | 87.62 GFlop/s per core (5.6TFlop/s per node) |
| Disk storage | 500 TB |
| Interconnection networks |
Infiniband HCA 100Gbps for computing 10Gbps network for management services |
| Operating system | Rocky Linux 8.6 |
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) |
600 TB |
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Standard protocol for external access |
Local accounts, EGI-AAI |
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Standard data transfer protocol |
S3 |
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High speed network connection RedIRIS/autonomous networks |
Yes |
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Backup protocol |
Yes |
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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 |
1 FTE |
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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 |
No |
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Treatment of personal data and ethics committee |
Yes |
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Data management policy |
Yes |
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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) |
Experience in exploitation of data in various scientific fields and productive sectors through analytical and data mining tools, Big Data y Machine Learning
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Support and consulting service for other nodes of the data network |
Whenever possible |
Support team / Contact
The computing area at the Institute of Biocomputation and Physics of Complex Systems of the University of Zaragoza is composed mainly by engineers and physicists. Its scientific activity includes a wide range of activities such as support to infrastructure users, applied research, technological research, technology transfer to industry or dissemination to society.
Support contact: res_support@bifi.es
