Version 13 (modified by 5 years ago) ( diff ) | ,
---|
Site Navigation
Compute
The dedicated compute resources are model Dell R740XD servers with the following specifications.
CPU | 2x Intel Xeon 12-core |
RAM | 192 GB |
Storage | 240 GB SSD |
Network | 2x 25 GB NICs |
FPGA | Xilinx Alveo U200 Data Center Accelerator with 2x 100G ports |
GPU | Nvidia Tesla V100 16GB VRAM |
Block Diagram
This block diagram shows the bus connections of the various processing devices hosted by these servers.
For best performance, you must take into account the data path, from source to sink, as well as processing and memory locality.
GPU
These servers each have an Nvidia V100 GPU, for CUDA processing.
FPGA
These servers each have a Xilinx Alveo U200 FPGA, with two 100g qsfp28 ports. The FPGA can be configured either as an additional NIC, or as a standalone computing device.
In an advanced use case, you could use the FPGA to pre-process radio data, and then send over PCIe or the network to a GPU / CPU for further processing.
Network
In addition to the GPU and FPGA, the server has a two (2) port 25g ethernet NIC for data-plane traffic.
The 10G NIC is dedicated to control and provisioning traffic, and should not be relied upon for experimental repeatability.
Attachments (1)
- block_r740.svg (24.1 KB ) - added by 5 years ago.
Download all attachments as: .zip