pulp-open by drossi
PULP (Parallel Ultra-Low-Power) is an open-source multi-core computing platform part of the of the ongoing collaboration between ETH Zurich and the University of Bologna - started in 2013.
The PULP architecture targets IoT end-node applications requiring flexible processing of data streams generated by multiple sensors, such as accelerometers, low-resolution cameras, microphone arrays, vital signs monitors.
PULP consists of an advanced microcontroller architecture representing a significant step ahead in terms of completeness and complexity with respect to PULPino, taking care of autonomous I/O, advanced data pre-processing, external interrupts, and including a tightly-coupled cluster of processors to which compute-intensive kernels can be offloaded from a main processor. The PULP architecture includes:
- Either the RI5CY core or the zero-riscy one as main core
- Autonomous Input/Output subsystem (uDMA)
- New memory subsystem
- Support for Hardware Processing Engines (HWPEs)
- New simple interrupt controller
- New peripherals
- New parallel computing cluster
- New system DMA
- New event unit
- New SDK
RISCY is an in-order, single-issue core with 4 pipeline stages and it has an IPC close to 1, full support for the base integer instruction set (RV32I), compressed instructions (RV32C) and multiplication instruction set extension (RV32M). It can be configured to have single-precision floating-point instruction set extension (RV32F). It implements several ISA extensions such as: hardware loops, post-incrementing load and store instructions, bit-manipulation instructions, MAC operations, support fixed-point operations, packed-SIMD instructions and the dot product. It has been designed to increase the energy efficiency of in ultra-low-power signal processing applications. RISCY implementes a subset of the 1.9 privileged specification. Further information about the core can be found at http://ieeexplore.ieee.org/abstract/document/7864441/ and in the documentation of the IP.
zero-riscy is an in-order, single-issue core with 2 pipeline stages and it has full support for the base integer instruction set (RV32I) and compressed instructions (RV32C). It can be configured to have multiplication instruction set extension (RV32M) and the reduced number of registers extension (RV32E). It has been designed to target ultra-low-power and ultra-low-area constraints. zero-riscy implementes a subset of the 1.9 privileged specification. Further information about the core can be found at http://ieeexplore.ieee.org/document/8106976/ and in the documentation of the IP.
PULP includes a new efficient I/O subsystem via a uDMA (micro-DMA) which communicates with the peripherals autonomously. The core just needs to program the uDMA and wait for it to handle the transfer. Further information about the core can be found at http://ieeexplore.ieee.org/document/8106971/ and in the documentation of the IP.
PULP supports I/O on interfaces such as:
- SPI (as master)
- Camera Interface (CPI)
PULP also supports integration of hardware accelerators (Hardware
Processing Engines) that share memory with the RI5CY core and are programmed on
the memory map. An example accelerator, performing multiply-accumulate on a
vector of fixed-point values, can be found in
updating the IPs: see below in the Getting Started section).
ips/hwpe-ctrl folders contain the IPs necessary to
plug streaming accelerators into a PULP system on the data and control plane.
For further information on how to design and integrate such accelerators,
ips/hwpe-stream/doc and https://arxiv.org/abs/1612.05974.
To be able to use the PULP platform, you need to have installed development kit for PULP. The instructions can be found here: https://github.com/pulp-platform/pulp-sdk/blob/master/README.md The recommended flow to build the SDK is described in section SDK build with independent dependencies build.
Please note that you have to set up an account in GitHub and upload your SSH public key to install the SDK. You can find detailed instructions on how to do that here: https://help.github.com/articles/connecting-to-github-with-ssh/
Building the RTL simulation platform
To build the RTL simulation platform, start by getting the latest version of the IPs composing the PULP system:
This will download all the required IPs, solve dependencies and generate the
scripts by calling
After having access to the SDK, you can build the simulation platform by doing the following:
source setup/vsim.sh cd sim/ make clean lib build opt
This command builds a version of the simulation platform with no dependencies on external models for peripherals. See below (Proprietary verification IPs) for details on how to plug in some models of real SPI, I2C, I2S peripherals.
Downloading and running tests
Finally, you can download and run the tests; for that you can checkout the following repositories:
Runtime tests: https://github.com/pulp-platform/pulp-rt-examples
Now you can change directory to your favourite test e.g.: for an hello world test, run
cd pulp-rt-examples/hello make clean all run
The open-source simulation platform relies on JTAG to emulate preloading of the PULP L2 memory. If you want to simulate a more realistic scenario (e.g. accessing an external SPI Flash), look at the sections below.
In case you want to see the Modelsim GUI, just type
make conf gui=1
before starting the simulation.
If you want to save a (compressed) VCD for further examination, type
make conf vsim/script=export_run.tcl
before starting the simulation. You will find the VCD in
<SRC_FILE_NAME> is the name of the C source of the test.
Proprietary verification IPs
The full simulation platform can take advantage of a few models of commercial
SPI, I2C, I2S peripherals to attach to the open-source PULP simulation platform.
rtl/vip/i2s you find the
instructions to install SPI, I2C and I2S models.
When the SPI flash model is installed, it will be possible to switch to a more
realistic boot simulation, where the internal ROM of PULP is used to perform an
initial boot and to start to autonomously fetch the program from the SPI flash.
To do this, the
LOAD_L2 parameter of the testbench has to be switched from
PULP platform structure
After being fully setup as explained in the Getting Started section, this root repository is structured as follows:
rtl/tbcontains the main platform testbench and the related files.
rtl/vipcontains the verification IPs used to emulate external peripherals, e.g. SPI flash and camera.
rtlcould also contain other material (e.g. global includes, top-level files)
ipscontains all IPs downloaded by
update-ipsscript. Most of the actual logic of the platform is located in these IPs.
simcontains the ModelSim/QuestaSim simulation platform.
pulp-sdkcontains the PULP software development kit;
pulp-sdk/testscontains all tests released with the SDK.
ipstoolscontains the utils to download and manage the IPs and their dependencies.
ips_list.ymlcontains the list of IPs required directly by the platform. Notice that each of them could in turn depend on other IPs, so you will typically find many more IPs in the
ipsdirectory than are listed in this file.
rtl_list.ymlcontains the list of places where local RTL sources are found (e.g.
The RTL platform has the following requirements:
- Relatively recent Linux-based operating system; we tested Ubuntu 16.04 and CentOS 7.
- ModelSim in reasonably recent version (we tested it with version 10.6b).
- Python 3.4, with the
pyyamlmodule installed (you can get that with
pip3 install pyyaml).
- The SDK has its own dependencies, listed in https://github.com/pulp-platform/pulp-sdk/blob/master/README.md
The PULP platforms is highly hierarchical and the Git repositories for the various
IPs follow the hierarchy structure to keep maximum flexibility.
Most of the complexity of the IP updating system are hidden behind the
generate-scripts Python scripts; however, a few details are
important to know:
- Do not assume that the
masterbranch of an arbitrary IP is stable; many internal IPs could include unstable changes at a certain point of their history. Conversely, in top-level platforms (
pulp) we always use stable versions of the IPs. Therefore, you should be able to use the
- By default, the IPs will be collected from GitHub using HTTPS. This makes it
possible for everyone to clone them without first uploading an SSH key to
GitHub. However, for development it is often easier to use SSH instead,
particularly if you want to push changes back.
To enable this, just replace
ipstools_cfg.pyconfiguration file in the root of this repository.
The tools used to collect IPs and create scripts for simulation have many features that are not necessarily intended for the end user, but can be useful for developers; if you want more information, e.g. to integrate your own repository into the flow, you can find documentation at https://github.com/pulp-platform/IPApproX/blob/master/README.md
The supported way to provide external contributions is by forking one of our
repositories, applying your patch and submitting a pull request where you
describe your changes in detail, along with motivations.
The pull request will be evaluated and checked with our regression test suite
for possible integration.
If you want to replace our version of an IP with your GitHub fork, just add
group: YOUR_GITHUB_NAMESPACE to its entry in
While we are quite relaxed in terms of coding style, please try to follow these
The current version of the PULP platform does not include yet an FPGA port
or example scripts for ASIC synthesis; both things may be deployed in the
ipstools includes only partial support for simulation flows different from
Support & Questions
For support on any issue related to this platform or any of the IPs, please add an issue to our tracker on https://github.com/pulp-platform/pulpissimo/issues
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