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

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docs.it4i/barbora/compute-nodes.md
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......@@ -6,13 +6,13 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
* 192 nodes
* 6912 cores in total
* 2x Intel Cascade Lake 6240, 18-core, 2.6 GHz processors per node
* 192 GB DDR4 2933MT/s of physical memory per node (12x 16 GB)
* 2x Intel Cascade Lake 6240, 18-core, 2.6GHz processors per node
* 192GB DDR4 2933MT/s of physical memory per node (12x16GB)
* BullSequana X1120 blade servers
* 2995,2 GFLOP/s per compute node
* 1x 1 GB Ethernet
* 2995.2 GFLOP/s per compute node
* 1x 1GB Ethernet
* 1x HDR100 IB port
* 3 computes nodes per X1120 blade server
* 3 compute nodes per X1120 blade server
* cn[1-192]
![](img/BullSequanaX1120.png)
......@@ -21,13 +21,13 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
* 8 nodes
* 192 cores in total
* two Intel Skylake Gold 6126, 12-core, 2.6 GHz processors per node
* 192 GB DDR4 2933MT/s with ECC of physical memory per node (12x 16 GB)
* two Intel Skylake Gold 6126, 12-core, 2.6GHz processors per node
* 192 GB DDR4 2933MT/s with ECC of physical memory per node (12x16GB)
* 4x GPU accelerator NVIDIA Tesla V100-SXM2 per node
* Bullsequana X410-E5 NVLink-V blade servers
* 1996,8 GFLOP/s per compute nodes
* GPU-tp-GPU All-to-All NVLINK 2.0, GPU-Direct
* 1 GB Ethernet
* 1996.8 GFLOP/s per compute nodes
* GPU-to-GPU All-to-All NVLINK 2.0, GPU-Direct
* 1GB Ethernet
* 2x HDR100 IB ports
* cn[193-200]
......@@ -37,8 +37,8 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
* 1x BullSequana X808 server
* 128 cores in total
* 8 Intel Skylake 8153, 16-core, 2.0 GHz, 125W
* 6144 GiB DDR4 2667MT/s of physical memory per node (92x 64 GB)
* 8 Intel Skylake 8153, 16-core, 2.0GHz, 125W
* 6144 GiB DDR4 2667MT/s of physical memory per node (92x64GB)
* 2x HDR100 IB port
* 8192 GFLOP/s
* cn[201]
......@@ -47,11 +47,11 @@ Barbora is a cluster of x86-64 Intel-based nodes built with the BullSequana Comp
## Compute Node Summary
| Node type | Count | Range | Memory | Cores | Queues |
| ---------------------------- | ----- | ----------- | ------ | ----------- | -------------------------- |
| Nodes without an accelerator | 192 | cn[1-192] | 192GB | 36 @ 2.6 GHz | qexp, qprod, qlong, qfree |
| Nodes with a GPU accelerator | 8 | cn[193-200] | 192GB | 24 @ 2.6 GHz | qnvidia |
| Fat compute nodes | 1 | cn[201] | 6144GiB | 128 @ 2.0 GHz | qfat |
| Node type | Count | Range | Memory | Cores |
| ---------------------------- | ----- | ----------- | ------ | ----------- |
| Nodes without an accelerator | 192 | cn[1-192] | 192GB | 36 @ 2.6GHz |
| Nodes with a GPU accelerator | 8 | cn[193-200] | 192GB | 24 @ 2.6GHz |
| Fat compute nodes | 1 | cn[201] | 6144GiB | 128 @ 2.0GHz |
## Processor Architecture
......@@ -116,23 +116,23 @@ Barbora is equipped with an [NVIDIA Tesla V100-SXM2][g] accelerator.
![](img/gpu-v100.png)
|NVIDIA Tesla V100-SXM2||
| --- | --- |
| GPU Architecture | NVIDIA Volta |
| NVIDIA Tensor| Cores: 640 |
| NVIDIA CUDA® Cores | 5 120 |
| Double-Precision Performance | 7.8 TFLOP/s |
| Single-Precision Performance | 15.7 TFLOP/s |
| Tensor Performance | 125 TFLOP/s |
| GPU Memory | 16 GB HBM2 |
| Memory Bandwidth | 900 GB/sec |
| ECC | Yes |
| Interconnect Bandwidth | 300 GB/sec |
| System Interface | NVIDIA NVLink |
| Form Factor | SXM2 |
| Max Power Consumption | 300 W |
| Thermal Solution | Passive |
| Compute APIs | CUDA, DirectCompute,OpenCLTM, OpenACC |
| NVIDIA Tesla V100-SXM2 | |
| ---------------------------- | -------------------------------------- |
| GPU Architecture | NVIDIA Volta |
| NVIDIA Tensor Cores | 640 |
| NVIDIA CUDA® Cores | 5120 |
| Double-Precision Performance | 7.8TFLOP/s |
| Single-Precision Performance | 15.7TFLOP/s |
| Tensor Performance | 125TFLOP/s |
| GPU Memory | 16GB HBM2 |
| Memory Bandwidth | 900GB/sec |
| ECC | Yes |
| Interconnect Bandwidth | 300GB/sec |
| System Interface | NVIDIA NVLink |
| Form Factor | SXM2 |
| Max Power Consumption | 300W |
| Thermal Solution | Passive |
| Compute APIs | CUDA, DirectCompute, OpenCLTM, OpenACC |
[a]: https://en.wikichip.org/wiki/intel/microarchitectures/skylake_(server)#Core
[b]: https://en.wikichip.org/wiki/intel/microarchitectures/skylake_(client)#Pipeline
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