开源100 Gbps NIC Corundum环境的搭建，corundum

2024-04-29 23:28:54 0 0

一、Corundum简介

GitHub repository: https://github.com/corundum/corundum

GitHub wiki: https://github.com/corundum/corundum/wiki

Corundum是一个基于FPGA的开源原型平台，用于高达100Gbps及更高的网络接口开发。Corundum平台包括一些用于实现实时，高线速操作的核心功能，包括：高性能数据路径，10G/ 25G / 100G以太网MAC，PCIExpress第3代，自定义PCIeDMA引擎以及本机高精确的IEEE 1588 PTP时间戳。一个关键功能是可扩展队列管理，它可以支持超过10,000个队列以及可扩展的传输调度程序，从而可以对包传输进行细粒度的硬件控制。结合多个网络接口，每个接口多个端口以及每个端口事件驱动的传输调度，这些功能可实现高级网络接口，体系结构和协议的开发。这些硬件功能的软件接口是Linux网络协议栈的高性能驱动程序。该平台还支持分散/聚集DMA，校验和卸载，接收流散列和接收端缩放。一个全面的，基于Python的开放源代码仿真框架促进了开发和调试，该框架包括整个系统，从驱动程序和PCIExpress接口的仿真模型到以太网接口。通过实现微秒级时分多址（TDMA）硬件调度程序，以100Gbps的线速执行TDMA调度，而没有CPU开销，证明了Corundum的强大功能和灵活性。

二、环境准备

2.1：Linux系统

本机为win10专业版，由于环境需要

在VMware虚拟机安装Ubuntu 20.04 LTS系统供日常学习测试使用

安装python库

使用tox尝试仿真

安装双系统Ubuntu 20.04 LTS

在Ubuntu系统上安装vivado 2019.2

注意vivado 2019.2的license，基本组件的license会编译出错，需要添加IP license。

2.2：Obtaining the source code

直接从git地址下载zip压缩包使用；

$ git clone https://github.com/corundum/corundum.git

2.3：FPGA仿真环境搭建
2.3.1 system packages
Python3.9；当前ubuntu 20.04自带python3版本为python3.8，需要下载python3.9并配置系统python3为python3.9。其中遇到很多问题需要百度自行解决。。。

$ sudo apt-get install python3.9
$ sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1

$ sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 2
$ sudo update-alternatives --config python3
There are 2 choices for the alternative python3 (providing /usr/bin/python3).

Selection Path Priority Status
------------------------------------------------------------
* 0 /usr/bin/python3.8 2 auto mode
1 /usr/bin/python3.8 2 manual mode
2 /usr/bin/python3.9 1 manual mode

Press to keep the current choice[*], or type selection number: 2

测试python版本：

$ python3 -V
Python 3.9

安装/升级pip

$ sudo apt-get install python3-pip
$ sudo pip3 install --upgrade pip

安装python-dev

$ sudo apt install python3-dev

安装Icarus Verilog

$ sudo apt-get install iverilog

安装GTKWave

$ sudo apt-get install gtkwave

2.3.2 required python packages

cocotb

cocotb-bus

cocotb-test

cocotbext-axi

cocotbext-eth

cocotbext-pcie

pytest

scapy

Recommended additional python packages:

tox (to run pytest inside a python virtual environment)

pytest-xdist (to run tests in parallel with pytest -n auto)

pytest-sugar (makes pytest output a bit nicer)

$ pip3 install cocotb
$ pip3 install cocotb-bus
$ pip3 install cocotb-test
$ pip3 install cocotbext-axi
$ pip3 install cocotbext-eth
$ pip3 install cocotbext-pcie
$ pip3 install pytest
$ pip3 install scapy
$ pip3 install tox
$ pip3 install pytest-xdist
$ pip3 install pytest-sugar

注意：安装完package可能会报warning提示package不在PATH内

此时需要将package添加到系统PATH中

$ sudo gedit ~/.bashrc

在bashrc中添加

export PAT

然后在终端source

$ sudo source ~/.bashrc

2.4 安装双系统Ubuntu 20.04
在win10下的机械盘上分了一块200G大小的空间用于安装新系统，事实证明200G有点小。

安装过程见：

https://www.jianshu.com/p/54d9a3a695cc
https://zhuanlan.zhihu.com/p/135953477
https://www.zhihu.com/question/34611974

注意分区时：/boot在UEFI上是非必要的，系统直接安在efi上即可。

将分区/：的空间设置足够大，这是总目录，以后安装的软件默认在此目录下，vivado2019占用90多G，因此此块空间或者/home的空间要足够大。

安装完系统配置环境，同时安装vivado2019.2，装在/opt/xilinx下即可。

三、Running test

单核的PC不建议（太慢了），建议上服务器跑。

确保Linux下所需要的package都安装完毕。

在corundum根目录下运行仿真。

$ cd /path/to/corundum-master
$ tox
py39 installed: apipkg==1.5,attrs==21.2.0,cocotb==1.5.2,cocotb-bus==0.1.1,cocotb-test==0.2.0,cocotbext-axi==0.1.12,cocotbext-eth==0.1.14,cocotbext-pcie==0.1.10,execnet==1.8.0,iniconfig==1.1.1,packaging==20.9,pluggy==0.13.1,py==1.10.0,pyparsing==2.4.7,pytest==6.2.4,pytest-forked==1.3.0,pytest-split==0.1.5,pytest-xdist==2.2.1,scapy==2.4.5,toml==0.10.2
py39 run-test-pre: PYTHONHASHSEED='438068548'
py39 run-test: commands[0] | pytest -n auto
============================= test session starts ==============================
platform linux -- Python 3.9.2, pytest-6.2.4, py-1.10.0, pluggy-0.13.1
cachedir: .tox/py39/.pytest_cache
rootdir: /path/to/corundum, configfile: tox.ini, testpaths: fpga/common/tb, fpga/mqnic, fpga/mqnic_tdma
plugins: xdist-2.2.1, forked-1.3.0, cocotb-test-0.2.0, split-0.1.5
gw0 [38] / gw1 [38] / gw2 [38] / gw3 [38] / gw4 [38] / gw5 [38] / gw6 [38] / gw7 [38] / gw8 [38] / gw9 [38] / gw10 [38] / gw11 [38] / gw12 [38] / gw13 [38] / gw14 [38] / gw15 [38] / gw16 [38] / gw17 [38] / gw18 [38] / gw19 [38] / gw20 [38] / gw21 [38] / gw22 [38] / gw23 [38] / gw24 [38] / gw25 [38] / gw26 [38] / gw27 [38] / gw28 [38] / gw29 [38] / gw30 [38] / gw31 [38] / gw32 [38] / gw33 [38] / gw34 [38] / gw35 [38] / gw36 [38] / gw37 [38] / gw38 [38] / gw39 [38] / gw40 [38] / gw41 [38] / gw42 [38] / gw43 [38] / gw44 [38] / gw45 [38] / gw46 [38] / gw47 [38] / gw48 [38] / gw49 [38] / gw50 [38] / gw51 [38] / gw52 [38] / gw53 [38] / gw54 [38] / gw55 [38] / gw56 [38] / gw57 [38] / gw58 [38] / gw59 [38] / gw60 [38] gw0 [38] / gw1 [38] / gw2 [38] / gw3 [38] / gw4 [38] / gw5 [38] / gw6 [38] / gw7 [38] / gw8 [38] / gw9 [38] / gw10 [38] / gw11 [38] / gw12 [38] / gw13 [38] / gw14 [38] / gw15 [38] / gw16 [38] / gw17 [38] / gw18 [38] / gw19 [38] / gw20 [38] / gw21 [38] / gw22 [38] / gw23 [38] / gw24 [38] / gw25 [38] / gw26 [38] / gw27 [38] / gw28 [38] / gw29 [38] / gw30 [38] / gw31 [38] / gw32 [38] / gw33 [38] / gw34 [38] / gw35 [38] / gw36 [38] / gw37 [38] / gw38 [38] / gw39 [38] / gw40 [38] / gw41 [38] / gw42 [38] / gw43 [38] / gw44 [38] / gw45 [38] / gw46 [38] / gw47 [38] / gw48 [38] / gw49 [38] / gw50 [38] / gw51 [38] / gw52 [38] / gw53 [38] / gw54 [38] / gw55 [38] / gw56 [38] / gw57 [38] / gw58 [38] / gw59 [38] / gw60 [38] / gw61 [38] / gw62 [38] / gw63 [38]
...................................... [100%]
======================== 38 passed in 792.90s (0:13:12) ========================
___________________________________ summary ____________________________________
py39: commands succeeded
congratulations :)

我在虚拟机里面跑的大概时间37分钟。。。

$ cd /path/to/corundum-master
$ pytest -n auto (多核)
$ pytest (单核)

$ cd /path/to/corundum/
$ pytest -n auto
Test session starts (platform: linux, Python 3.9.2, pytest 6.2.2, pytest-sugar 0.9.4)
rootdir: /path/to/corundum, configfile: tox.ini, testpaths: fpga/common/tb, fpga/mqnic, fpga/mqnic_tdma
plugins: parallel-0.1.0, cocotb-test-0.2.0, split-0.1.6.dev1+g97d96c2, sugar-0.9.4, xdist-2.2.1, forked-1.3.0, metadata-1.11.0, html-3.1.1, flake8-1.0.7, cov-2.11.1
gw0 [38] / gw1 [38] / gw2 [38] / gw3 [38] / gw4 [38] / gw5 [38] / gw6 [38] / gw7 [38] / gw8 [38] / gw9 [38] / gw10 [38] / gw11 [38] / gw12 [38] / gw13 [38] / gw14 [38] / gw15 [38] / gw16 [38] / gw17 [38] / gw18 [38] / gw19 [38] / gw20 [38] / gw21 [38] / gw22 [38] / gw23 [38] / gw24 [38] / gw25 [38] / gw26 [38] / gw27 [38] / gw28 [38] / gw29 [38] / gw30 [38] / gw31 [38] / gw32 [38] / gw33 [38] / gw34 [38] / gw35 [38] / gw36 [38] / gw37 [38] / gw38 [38] / gw39 [38] / gw40 [38] / gw41 [38] / gw42 [38] / gw43 [38] / gw44 [38] / gw45 [38] / gw46 [38] / gw47 [38] / gw48 [38] / gw49 [38] / gw50 [38] / gw51 [38] / gw52 [38] / gw53 [38] / gw54 [38] / gw55 [38] / gw56 [38] / gw57 [38] / gw58 [38] / gw59 [38] / gw60 [38] gw0 [38] / gw1 [38] / gw2 [38] / gw3 [38] / gw4 [38] / gw5 [38] / gw6 [38] / gw7 [38] / gw8 [38] / gw9 [38] / gw10 [38] / gw11 [38] / gw12 [38] / gw13 [38] / gw14 [38] / gw15 [38] / gw16 [38] / gw17 [38] / gw18 [38] / gw19 [38] / gw20 [38] / gw21 [38] / gw22 [38] / gw23 [38] / gw24 [38] / gw25 [38] / gw26 [38] / gw27 [38] / gw28 [38] / gw29 [38] / gw30 [38] / gw31 [38] / gw32 [38] / gw33 [38] / gw34 [38] / gw35 [38] / gw36 [38] / gw37 [38] / gw38 [38] / gw39 [38] / gw40 [38] / gw41 [38] / gw42 [38] / gw43 [38] / gw44 [38] / gw45 [38] / gw46 [38] / gw47 [38] / gw48 [38] / gw49 [38] / gw50 [38] / gw51 [38] / gw52 [38] / gw53 [38] / gw54 [38] / gw55 [38] / gw56 [38] / gw57 [38] / gw58 [38] / gw59 [38] / gw60 [38] / gw61 [38] / gw62 [38] / gw63 [38]

fpga/common/tb/tdma_scheduler/test_tdma_scheduler.py ✓ 3% ▍
fpga/common/tb/tdma_ber/test_tdma_ber.py ✓ 5% ▌
fpga/common/tb/queue_manager/test_queue_manager.py ✓ 8% ▊
fpga/common/tb/cpl_queue_manager/test_cpl_queue_manager.py ✓ 11% █▏
fpga/common/tb/rx_checksum/test_rx_checksum.py ✓✓ 18% █▉
fpga/common/tb/rx_hash/test_rx_hash.py ✓✓ 24% ██▍
fpga/common/tb/tdma_ber_ch/test_tdma_ber_ch.py ✓ 21% ██▏
fpga/common/tb/tx_checksum/test_tx_checksum.py ✓✓ 29% ██▉
fpga/mqnic/VCU108/fpga_10g/tb/fpga_core/test_fpga_core.py ✓ 32% ███▎
fpga/mqnic/ExaNIC_X10/fpga/tb/fpga_core/test_fpga_core.py ✓ 34% ███▌
fpga/mqnic/AU50/fpga_100g/tb/fpga_core/test_fpga_core.py ✓ 37% ███▊

######## SNIP ########

fpga/mqnic/fb2CG/fpga_25g/tb/fpga_core/test_fpga_core.py ✓ 92% █████████▎
...ic/ADM_PCIE_9V3/fpga_25g/tb/fpga_core/test_fpga_core.py ✓ 95% █████████▌
...nic_tdma/VCU118/fpga_10g/tb/fpga_core/test_fpga_core.py ✓ 97% █████████▊
...ma/ADM_PCIE_9V3/fpga_10g/tb/fpga_core/test_fpga_core.py ✓ 100% ██████████

Results (797.62s):
38 passed

电脑还在跑。。。