| Date: | 2020-06-01, 2022-04-26 |
|---|---|
| tags: | Vivado, xsim, XSI |
| category: | Vivado |
| slug: | vivado-cosimulation-with-xsi |
| summary: | A method to cosimulate C and RTL code under Python control |
Table of Contents
Xilinx's xsim simulator (UG900) includes the Xilinx Simulator Interface (XSI), a way to embed a RTL simulation kernel inside a C/C++ program. This page further embeds XSI kernels within a Python session, creating a layered simulation environment where Python, C/C++, and RTL coexist. Testbenches can be coded in a mixture of the three languages, removing the hard boundaries that surround an RTL-only testbench environment.
RTL testbenches are a good way to verify low-level design elements, but RTL testbenches alone are not good enough.
First, I want to verify a combination of C and RTL code, where the interface between C and RTL is complex and malleable. Driving a wedge between C code and RTL code so I can extract test vectors via file I/O feels like a monumental distraction.
Second, I need to post-process test data in Python. For signal-processing analysis, my go-to environment is Python/Scipy/Matplotlib. For data analysis, there is nothing in C or RTL that offer the same broad reach and high productivity.
Finally, I want my test environment to resemble my deployment environment. My design is an amalgam of C and RTL when it's deployed; why should the testing environment be different? (Here, ASIC designers will be tearing out their hair. It's OK, I understand.) Combining C and RTL reduces the amount of hassle associated with testing, which allows me to focus on solving problems and not fighting tools.
Compounding the issue further: many excellent test environments (cocotb, VUnit, UVVM) do not work with Xilinx's simulator. As a result, my options for higher-level testing constructs focused on an RTL world dwindle from "frustrating" to "squalid". This is largely Xilinx's fault: although it is slowly improving, xsim's support for SystemVerilog and VHDL-2008 constructs lags other simulators [1].
The following sections show a start-to-finish build, from checking out the source code to completing a test.
Source code is available at https://github.com/gsmecher/pyxsi.
$ git clone https://github.com/gsmecher/pyxsi.git
Cloning into 'pyxsi'...
remote: Enumerating objects: 14, done.
remote: Counting objects: 100% (14/14), done.
remote: Compressing objects: 100% (12/12), done.
remote: Total 14 (delta 0), reused 14 (delta 0), pack-reused 0
Receiving objects: 100% (14/14), 6.72 KiB | 6.72 MiB/s, done.You should modify the top-level Makefile (setting XILINX_BASE) to match your Vivado installation. The example here uses Vivado 2021.2, though it is reasonably portable.
Next, prepare your Docker environment:
$ cd pyxsi
pyxsi$ make dockerenvThis step prepares a portable build environment using Docker. You only need to run this step once.
Now set up Xilinx's environment variables and build the RTL into a simulation library.
There is a Docker wrapper in this command (and subsequent commands). You may need to modify the top-level Makefile to point to the right Vivado installation path.
pyxsi$ make rtl
Moving inside Docker...
make: Entering directory '/root'
. /opt/xilinx/Vivado/2021.2/settings64.sh && \
xelab work.widget -prj rtl/widget.prj -debug all -dll -s widget
Vivado Simulator v2021.2
Copyright 1986-1999, 2001-2021 Xilinx, Inc. All Rights Reserved.
Running: /opt/xilinx/Vivado/2021.2/bin/unwrapped/lnx64.o/xelab work.widget -prj rtl/widget.prj -debug all -dll -s widget
Multi-threading is on. Using 14 slave threads.
Determining compilation order of HDL files.
INFO: [VRFC 10-163] Analyzing VHDL file "/root/rtl/widget.vhd" into library work
INFO: [VRFC 10-3107] analyzing entity 'widget'
Starting static elaboration
Completed static elaboration
Starting simulation data flow analysis
Completed simulation data flow analysis
Time Resolution for simulation is 1ps
Compiling package std.standard
Compiling package std.textio
Compiling package ieee.std_logic_1164
Compiling package ieee.numeric_std
Compiling architecture behav of entity work.widget
Built XSI simulation shared library xsim.dir/widget/xsimk.so
make: Leaving directory '/root'Now build the C++ code:
pyxsi$ make
make: Entering directory '/root'
g++-10 -Wall -Werror -g -fPIC -std=c++20 -I/usr/include/python3.9 -I/opt/xilinx/Vivado/2021.2/data/xsim/include -Isrc -c -o pybind.o src/pybind.cpp
g++-10 -Wall -Werror -g -fPIC -std=c++20 -I/usr/include/python3.9 -I/opt/xilinx/Vivado/2021.2/data/xsim/include -Isrc -c -o xsi_loader.o src/xsi_loader.cpp
g++-10 -Wall -Werror -g -fPIC -std=c++20 -I/usr/include/python3.9 -I/opt/xilinx/Vivado/2021.2/data/xsim/include -Isrc -shared -o pyxsi.so pybind.o xsi_loader.o -lfmt -ldl -static-libstdc++
make: Leaving directory '/root'Finally, tests are discovered and executed using Python's pytest environment.
pyxsi$ make test
Moving inside Docker...
make: Entering directory '/root'
LD_LIBRARY_PATH=/opt/xilinx/Vivado/2021.2/lib/lnx64.o \
python3.9 -m pytest py/test.py -v
============================= test session starts ==============================
platform linux -- Python 3.9.5, pytest-6.2.5, py-1.11.0, pluggy-1.0.0 -- /usr/bin/python3.9
cachedir: .pytest_cache
metadata: {'Python': '3.9.5', 'Platform': 'Linux-5.14.0-4-amd64-x86_64-with-glibc2.31', 'Packages': {'pytest': '6.2.5', 'py': '1.11.0', 'pluggy': '1.0.0'}, 'Plugins': {'html': '3.1.1', 'pytest_check': '1.0.4', 'forked': '1.4.0', 'metadata': '1.11.0', 'xdist': '2.5.0'}}
rootdir: /root
plugins: html-3.1.1, pytest_check-1.0.4, forked-1.4.0, metadata-1.11.0, xdist-2.5.0
collecting ... collected 2 items
py/test.py::test_counting PASSED [ 50%]
py/test.py::test_random PASSED [100%]
============================== 2 passed in 12.81s ==============================
make: Leaving directory '/root'This is only a skeletal example, with just enough scaffolding to build on.
| [1] | I use xsim because none of the open-source simulators can combine VHDL and Verilog, or simulate encrypted IP. Commercial simulators don't make sense for a small instrumentation consultancy (mine, anyway). |
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