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  1. 40-core 96GB

  2. 40-core 192GB

  3. 56-core 128GB

  4. 56-core 256GB

  5. 56-core 512GB

  6. 64-core 192GB

  7. 64-core 384GB

  8. 64-core 768GB

  9. 80-core 96GB

  10. 80-core 192GB

  11. 80-core 384GB

  12. 80-core 768GB

  13. 80-core 1.5TB

  14. 112-core 256GB

  15. 112-core 512GB

  16. 112-core 1024GB

  17. 112-core 1.5TB

  18. 128-core 256GB

  19. 128-core 512GB

  20. 128-core 1TB

  21. 128-core 1.5TB

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  1. 21 machines with Nvidia P100 accelerators

  2. 2 machines with Nvidia K80 accelerators

  3. 2 machines with Nvidia P40 accelerators

  4. 17 machines with 1080Ti accelerators

  5. 19 machines with Titan V accelerators

  6. 14 machines with V100 accelerators

  7. 38 machines with 2080Ti accelerators

  8. 1 machine with RTX8000 accelerators

  9. 7 machines with A100 accelerators

  10. 5 machines with 4 A40 accelerators each

  11. 2 machines with 4 L40S accelerators each

  12. 1 machine with 4 L4 accelerators


Heterogeneity

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Table plus


Node memory (GB)

Job slots

Memory (GB) per slot

96

40

2

96

80

1

128

56

2

192

40

5

192

64

3

192

80

2

256

56

4

256

112

2

256

128

2

384

64

6

384

80

5

512

56

9

512

112

4

512

128

4

768

64

12

768

80

9

1024

112

9

1024

128

8

1536

80

19

1536

112

13

1536

128

12


Using theĀ Basic Job Submission andĀ Advanced Job Submission pages as a reference, how would one submit jobs taking HT into account? For single process high throughput type jobs it probably does not matter, just request one slot per job. For multithreaded or MPI jobs, request one job slot per thread or process. So if your application runs best with 4 threads then request something like the following.

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