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Commit be3f40ce authored by Jan Siwiec's avatar Jan Siwiec
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OJ proofread

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Pipeline #30506 passed with warnings
Stage: test
Stage: build
Stage: deploy
Stage: after_test
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docs.it4i/barbora/compute-nodes.md
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...@@ -9,10 +9,10 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp ...@@ -9,10 +9,10 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
* 2x Intel Cascade Lake 6240, 18-core, 2.6GHz processors per node * 2x Intel Cascade Lake 6240, 18-core, 2.6GHz processors per node
* 192GB DDR4 2933MT/s of physical memory per node (12x16GB) * 192GB DDR4 2933MT/s of physical memory per node (12x16GB)
* BullSequana X1120 blade servers * BullSequana X1120 blade servers
* 2995,2 GFLOP/s per compute node * 2995.2 GFLOP/s per compute node
* 1x 1GB Ethernet * 1x 1GB Ethernet
* 1x HDR100 IB port * 1x HDR100 IB port
* 3 computes nodes per X1120 blade server * 3 compute nodes per X1120 blade server
* cn[1-192] * cn[1-192]
![](img/BullSequanaX1120.png) ![](img/BullSequanaX1120.png)
...@@ -25,8 +25,8 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp ...@@ -25,8 +25,8 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
* 192 GB DDR4 2933MT/s with ECC of physical memory per node (12x16GB) * 192 GB DDR4 2933MT/s with ECC of physical memory per node (12x16GB)
* 4x GPU accelerator NVIDIA Tesla V100-SXM2 per node * 4x GPU accelerator NVIDIA Tesla V100-SXM2 per node
* Bullsequana X410-E5 NVLink-V blade servers * Bullsequana X410-E5 NVLink-V blade servers
* 1996,8 GFLOP/s per compute nodes * 1996.8 GFLOP/s per compute nodes
* GPU-tp-GPU All-to-All NVLINK 2.0, GPU-Direct * GPU-to-GPU All-to-All NVLINK 2.0, GPU-Direct
* 1GB Ethernet * 1GB Ethernet
* 2x HDR100 IB ports * 2x HDR100 IB ports
* cn[193-200] * cn[193-200]
...@@ -47,11 +47,11 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp ...@@ -47,11 +47,11 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
## Compute Node Summary ## Compute Node Summary
| Node type | Count | Range | Memory | Cores | Queues | | Node type | Count | Range | Memory | Cores |
| ---------------------------- | ----- | ----------- | ------ | ----------- | -------------------------- | | ---------------------------- | ----- | ----------- | ------ | ----------- |
| Nodes without an accelerator | 192 | cn[1-192] | 192GB | 36 @ 2.6 GHz | qexp, qprod, qlong, qfree | | Nodes without an accelerator | 192 | cn[1-192] | 192GB | 36 @ 2.6GHz |
| Nodes with a GPU accelerator | 8 | cn[193-200] | 192GB | 24 @ 2.6 GHz | qnvidia | | Nodes with a GPU accelerator | 8 | cn[193-200] | 192GB | 24 @ 2.6GHz |
| Fat compute nodes | 1 | cn[201] | 6144GiB | 128 @ 2.0 GHz | qfat | | Fat compute nodes | 1 | cn[201] | 6144GiB | 128 @ 2.0GHz |
## Processor Architecture ## Processor Architecture
...@@ -117,9 +117,9 @@ Barbora is equipped with an [NVIDIA Tesla V100-SXM2][g] accelerator. ...@@ -117,9 +117,9 @@ Barbora is equipped with an [NVIDIA Tesla V100-SXM2][g] accelerator.
![](img/gpu-v100.png) ![](img/gpu-v100.png)
| NVIDIA Tesla V100-SXM2 | | | NVIDIA Tesla V100-SXM2 | |
| --- | --- | | ---------------------------- | -------------------------------------- |
| GPU Architecture | NVIDIA Volta | | GPU Architecture | NVIDIA Volta |
| NVIDIA Tensor| Cores: 640 | | NVIDIA Tensor Cores | 640 |
| NVIDIA CUDA® Cores | 5120 | | NVIDIA CUDA® Cores | 5120 |
| Double-Precision Performance | 7.8TFLOP/s | | Double-Precision Performance | 7.8TFLOP/s |
| Single-Precision Performance | 15.7TFLOP/s | | Single-Precision Performance | 15.7TFLOP/s |
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