Machine information
HPC Resources
Machine name | LaPalma |
% of the machine provided to RES | 50% |
Peak performance | 83.85 TFlops |
Main memory | 8 TB |
Number of nodes | 252 |
Main nodes characteristics | 4032 cores Intel Xeon SandyBridge a 2.6Ghz |
Type of CPU | Intel Xeon SandyBridge-EP E5-2670/1600 20M 8 cores |
Number of cores per node | 8 |
GFlops per core | 20.8 GFlops |
Disk storage | 346 TB |
Interconnection networks | Mellanox Infiniband FDR10 |
Operating system | SuSE 12 |
Data projects Resources
Core Features: Archival projects and Data storage, regardless of discipline |
|
Available storage space (TB) |
600 TB |
Standard protocol for external access |
Ssh (LDAP) |
Standard data transfer protocol |
GridFTP |
High speed network connection RedIRIS/autonomous networks |
Yes, 10 Gbps |
Backup protocol |
At least 300 TB |
Security system |
Firewall PaloAlto + fail2ban |
Monitorization system |
Graylog y PaloAlto |
Personnel assigned to support users who access the center through the network |
1 FTE |
Optional characteristics: data storage and exploration projects (basic exploitation), generic and/or specific by subject area |
|
Federated access protocol (EduGAIN, SIR, …) |
No |
Optimized transfer system for large volumes of data |
GridFTP |
Treatment of personal data and ethics committee |
Yes |
Data management policy |
Document under preparation |
Additional features: More specific exploitation projects, with advanced tools, and/or depending on the subject area |
|
Data services for scientific projects (maintained by the node) |
Server GitLab for version control |
Support and consulting service for other nodes of the data network |
As far as possible |
Support team / Contact
The IAC IT Support Team is responsible for administration and management of the supercomputing system. Furthermore, it provides help to users for using tools and software available in LaPalma.
Contact: res_support@iac.es
Node co-financed by ERDF Funds 2014-2020 under the framework of the RES Strategic Plan, through the MNLP-RES operation (Ref: ICTS-2017-02-IAC-12)