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OJ proofreading

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docs.it4i/barbora/hardware-overview.md
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# Hardware Overview
The Barbora cluster consists of 201 computational nodes named **cn[1-201]** of which 192 are regular compute nodes, 8 are GPU Tesla V100 accelerated nodes and 1 is a fat node. Each node is a powerful x86-64 computer, equipped with 36/24/128 cores (18-core Intel Cascade Lake 6240 / 12-core Intel Skylake Gold 6126 / 16-core Intel Skylake 8153), at least 192 GB of RAM. User access to the Barbora cluster is provided by two login nodes **login[1,2]**. The nodes are interlinked through high speed InfiniBand and Ethernet networks.
The Barbora cluster consists of 201 computational nodes named **cn[001-201]** of which 192 are regular compute nodes, 8 are GPU Tesla V100 accelerated nodes and 1 is a fat node. Each node is a powerful x86-64 computer, equipped with 36/24/128 cores (18-core Intel Cascade Lake 6240 / 12-core Intel Skylake Gold 6126 / 16-core Intel Skylake 8153), at least 192GB of RAM. User access to the Barbora cluster is provided by two login nodes **login[1,2]**. The nodes are interlinked through high speed InfiniBand and Ethernet networks.
The Fat node is equipped with a large amount (6144 GB) of memory. Virtualization infrastructure provides resources to run long-term servers and services in virtual mode. The Accelerated nodes, Fat node, and Virtualization infrastructure are available [upon request][a] from a PI.
The fat node is equipped with a large amount (6144GB) of memory. Virtualization infrastructure provides resources to run long-term servers and services in virtual mode. The Accelerated nodes, fat node, and Virtualization infrastructure are available [upon request][a] from a PI.
**There are three types of compute nodes:**
* 192 compute nodes without an accelerator
* 8 compute nodes with a GPU accelerator - 4x NVIDIA Tesla V100-SXM2
* 1 fat node - equipped with 6144 GB of RAM
* 1 fat node - equipped with 6144GB of RAM
[More about Compute nodes][1].
[More about compute nodes][1].
GPU and accelerated nodes are available upon request, see the [Resources Allocation Policy][2].
All of these nodes are interconnected through fast InfiniBand and Ethernet networks. [More about the Network][3].
All of these nodes are interconnected through fast InfiniBand and Ethernet networks. [More about the computing network][3].
Every chassis provides an InfiniBand switch, marked **isw**, connecting all nodes in the chassis, as well as connecting the chassis to the upper level switches.
User access to Barbora is provided by two login nodes: login1 and login2. [More about accessing the cluster][5].
......@@ -29,23 +29,23 @@ The parameters are summarized in the following tables:
| [**Compute nodes**][1] | |
| Total | 201 |
| Processor cores | 36/24/128 (2x18 cores/2x12 cores/8x16 cores) |
| RAM | min. 192 GB |
| RAM | min. 192GB |
| Local disk drive | no |
| Compute network | InfiniBand HDR |
| w/o accelerator | 192, cn[1-192] |
| w/o accelerator | 192, cn[001-192] |
| GPU accelerated | 8, cn[193-200] |
| Fat compute nodes | 1, cn[201] |
| **In total** | |
| Total theoretical peak performance (Rpeak) | 848.8448 TFLOP/s |
| Total amount of RAM | 44.544 TB |
| Total theoretical peak performance (Rpeak) | 848.8448TFLOP/s |
| Total amount of RAM | 44.544TB |
| Node | Processor | Memory | Accelerator |
| ---------------- | --------------------------------------- | ------ | ---------------------- |
| w/o accelerator | 2 x Intel Cascade Lake 6240, 2.6 GHz | 192 GB | - |
| GPU accelerated | 2 x Intel Skylake Gold 6126, 2.6 GHz | 192 GB | NVIDIA Tesla V100-SXM2 |
| Fat compute node | 2 x Intel Skylake Platinum 8153, 2.0 GHz | 6144 GB | - |
| Node | Processor | Memory | Accelerator |
| ---------------- | -------------------------------------- | ------ | ---------------------- |
| Regular node | 2x Intel Cascade Lake 6240, 2.6GHz | 192GB | - |
| GPU accelerated | 2x Intel Skylake Gold 6126, 2.6GHz | 192GB | NVIDIA Tesla V100-SXM2 |
| Fat compute node | 2x Intel Skylake Platinum 8153, 2.0GHz | 6144GB | - |
For more details refer to [Compute nodes][1], [Storage][4], [Visualization servers][6], and [Network][3].
For more details refer to the sections [Compute Nodes][1], [Storage][4], [Visualization Servers][6], and [Network][3].
[1]: compute-nodes.md
[2]: ../general/resources-allocation-policy.md
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