Tests 1.1 - 1.4 test performance scaling over multple nodes over the low-latency network. The following results were obtained for the current cluster (2 x Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz per node).
Tests 1.1 - 1.4 test performance scaling over multple nodes over the low-latency network. The tests 1.1 - 1.4 are identical, but target different sets of nodes (1.1 = cpu nodes, 1.2 = bigmem nodes, 1.3 = gpu nodes, 1.4 gpu-mem nodes).
The following results were obtained for the current cluster (2 x Intel(R) Xeon(R) Gold 6140 CPU @ 2.30GHz per node).
**Minimal required performance for passing the test**:
For each job, the results for the same number of nodes with the number of cores per node restricted to 36 should be at least higher than 80% of the value obtained with our older aurum cluster, in the table above.
**Minimal required performance for passing each of the tests 1.1-1.4**:
For each job, the results for the same number of nodes with the number of cores per node restricted to 36 should be at least 80% of the value obtained with our older aurum cluster, in the table above. For example, a job involving 10 nodes (360 cores) must report at least 0.8*104 = 83.2 ns/day.
**The following description/conditions apply to tests 1.1 through 1.4**
-**Short description of the test**: Full (36 cores max) occupation of the computational nodes using 1 or more nodes per job. There might be few unallocated nodes if the number of computational nodes is not a multiple of number of computational nodes per job in each task.
@@ -111,7 +113,7 @@ For each job, the results for the same number of nodes with the number of cores
## 1.3 Tests scaling in the gpu nodes
### 1.3 Tests scaling in the gpu nodes
-**Test name:**: scaling_test_gpu
-**Nodes involved**: gpu computational nodes
-**Number of tasks:** 2 x 5
@@ -124,7 +126,7 @@ For each job, the results for the same number of nodes with the number of cores
## 1.4 Tests scaling in the biggpu nodes (CPU only)
### 1.4 Tests scaling in the biggpu nodes (CPU only)