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Allocations and compute scheduling/fr: Difference between revisions
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Allocations and compute scheduling/fr (view source)
Revision as of 20:48, 19 September 2024
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</div> | </div> | ||
{| class="wikitable" style="margin: auto; text-align: center;" | {| class="wikitable" style="margin: auto; text-align: center;" | ||
|- | |- | ||
| Line 59: | Line 58: | ||
! scope="col"| Score mémoire | ! scope="col"| Score mémoire | ||
! scope="col"| Score pondéré | ! scope="col"| Score pondéré | ||
! scope="col"| Score combiné | |||
! colspan="2",scope="col"| Disponible | |||
! scope="col"| Alloué par concours | |||
|- | |- | ||
! scope="col"| | ! scope="col"| COEFFICIENT | ||
! scope="col"| 1.6 | ! scope="col"| 1.6 | ||
! scope="col"| 1.6 | ! scope="col"| 1.6 | ||
! scope="col"| 0.8 | ! scope="col"| 0.8 | ||
| (UGR) | ! scope="col"| (UGR) | ||
! scope="col"| Présentement | |||
! scope="col"| Pour 2025 | |||
! scope="col"| Concours de 2025 | |||
|- | |- | ||
|- | |- | ||
! scope="row"| | ! scope="row" | H100-80gb | ||
| | | 3.44 || 3.17 || 2.0 || 12.2 || non || oui || oui | ||
| 0. | |- | ||
| | ! scope="row"| A100-80gb | ||
! 1.0 | | 1.00 || 1.00 || 2.0 || 4.8 || non || ? || non | ||
|- | |- | ||
! scope="row"| | ! scope="row"| A100-40gb | ||
| | | <b>1.00</b> || <b>1.00</b> || <b>1.0</b> || <b>4.0</b> || Yes || Yes || Yes | ||
| | |||
| 0 | |||
|- | |- | ||
! scope="row"| | ! scope="row"| V100-32gb | ||
| 0. | | 0.81 || 0.40 || 0.8 || 2.6 || oui || ? || non | ||
| 0. | |||
| 0. | |||
|- | |- | ||
! scope="row"| V100-16gb | ! scope="row"| V100-16gb | ||
| 0.81 | | 0.81 || 0.40 || 0.4 || 2.2 || oui || ? || non | ||
| 0.40 | |||
| 0.4 | |||
|- | |- | ||
! scope="row"| | ! scope="row"| T4-16gb | ||
| 0. | | 0.42 || 0.21 || 0.4 || 1.3 || oui || ? || non | ||
| 0. | |||
| 0. | |||
|- | |- | ||
! scope="row"| | ! scope="row"| P100-16gb | ||
| | | 0.48 || 0.03 || 0.4 || 1.1 || oui || non || non | ||
| | |||
| | |||
|- | |- | ||
! scope="row"| | ! scope="row"| P100-12gb | ||
| | | 0.48 || 0.03 || 0.3 || 1.0 || oui || non || non | ||
| | |||
| | |||
|} | |} | ||
With the 2025 [[infrastructure renewal]] it will become possible to schedule a fraction of a GPU using [[multi-instance GPU]] technology. Different jobs, potentially belonging to different users, can run on the same GPU at the same time. Following [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#terminology NVidia's terminology], a fraction of a GPU allocated to a single job is called a "GPU instance", also sometimes called a "MIG instance". | With the 2025 [[infrastructure renewal]] it will become possible to schedule a fraction of a GPU using [[multi-instance GPU]] technology. Different jobs, potentially belonging to different users, can run on the same GPU at the same time. Following [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/#terminology NVidia's terminology], a fraction of a GPU allocated to a single job is called a "GPU instance", also sometimes called a "MIG instance". | ||