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Portsmouth ICG – HPC The “ Sciama ” Environment G Burton - Nov 10 - Version 1.1

SCIAMA (pronounced shama) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What we need from SEPNet partners:- ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

In the “good-ol-days” things were simple ……….

… then more sockets were added ,[object Object],[object Object]

… then more cores to the sockets. The basic building block for the Sciama cluster Intel Xeon X5650 2.66Ghz six-core (Westmere core)

A bit about Storage ……… NB. The storage is transient - IT WILL NOT BE BACKED UP

Lustre Storage – V Large Files – High Performance

Installed S/W ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Installed S/W Will install similar to Cosmos / Universe :- ,[object Object],[object Object],[object Object]

12 cores per Nodes ,[object Object],[object Object]

Inter node memory sharing not (usually ) possible ,[object Object],[object Object]

Largest (sensible) job is 24Gbytes in this distributed memory model

MPI allows parallel programming in distributed memory model ,[object Object],[object Object],[object Object]

Hybrid OpenMP and MP programming possible

Comparing Sciama with Cambridge COMOS / Universe Environments

Shared Memory Model ,[object Object],[object Object]

Shared Memory Models Can Support very large processes

Shared Memory Model Supports OpenMP and MPI (and Hybrid) ,[object Object],[object Object]

Binary Compatibility ,[object Object],[object Object]

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Icg hpc-user

1. Portsmouth ICG – HPC The “ Sciama ” Environment G Burton - Nov 10 - Version 1.1

4. Sciama Building Blocks

5. In the “good-ol-days” things were simple ……….

6. In the “good-ol-days” things were simple ……….

8. … then more cores to the sockets. The basic building block for the Sciama cluster Intel Xeon X5650 2.66Ghz six-core (Westmere core)

9. Total ICG Compute Pool > 1000 Cores

10. Sciama Basic Concept

11. Basic Concept of Cluster

12. A bit about Storage ……… NB. The storage is transient - IT WILL NOT BE BACKED UP

13. Lustre Storage – V Large Files – High Performance

14. Networking -Three Independent LAN’S

15. Some users are at remote locations ..

16. Use of Remote Login Client

17. ICG-HPC Stack

18.

19.

20. Running Applications on the Sciama

21.

22.

23. Largest (sensible) job is 24Gbytes in this distributed memory model

24.

25. Hybrid OpenMP and MP programming possible

26. Comparing Sciama with Cambridge COMOS / Universe Environments

27.

28. Shared Memory Models Can Support very large processes

29.

30.

Icg hpc-user

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