corundum：100G NIC 学习：（一）
2021-10-03 17:13:47
目标：在Linux环境下，基于VCU118板卡恢复出100G corundum NIC。
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 <enter> 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
cocotbcocotb-buscocotb-testcocotbext-axicocotbext-ethcocotbext-pciepytestscapy-
Recommended additional python packages:
tox(to run pytest inside a python virtual environment)pytest-xdist(to run tests in parallel withpytest -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 PATH="$PATH:/home/yourname/.local/bin"
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。。。
跑了快两个小时终于跑完了，虚拟机还是不行。
未完待续
