Porting Graphene PAL to Other hosts¶
Platform Compatibility of Graphene¶
Graphene adopts a similar architecture to the Drawbridge Library OS, which runs a generic library OS on top of a Platform Adaptation Layer (PAL) to maximize platform compatibility. In this architecture, the library OS can be easily ported to a new host by implementing only the PAL for this new host.
How to Port Graphene¶
To port Graphene to a new host platform, the only effort required is reimplementing the PAL on the desired host platform. Most of the implementation should be as simple as translating the PAL API to the native system interface of the host. The implemented PAL must support PAL Host ABI.
In fact, even in the PAL source code, we expect part of the code to be host-generic. To make porting Graphene easier, we deliberately separate the source code of PAL into three parts:
Pal/lib: All the library APIs used internally by PAL.
Pal/src: Host-generic implementation.
Pal/src/host/host name: Host-specific implementation.
To port Graphene to a new host, we suggest starting with a clone of
Pal/src/host/Skeleton. This directory contains the skeleton code of all
functions that need to be implemented as part of a fully compatible PAL.
Although we have tried our best to isolate any host-specific code in each host
directory, we do not guarantee that the necessary changes are only limited to
these directories. That is, you may have to modify other parts of the source
code (especially the
Makefile scripts) to complete your implementation.
Steps of Porting PAL¶
Step 1: Fix compilation issues¶
For the first step to port PAL, you want to be able to build PAL as an
executable on the target host. After cloning a host-specific directory, first
Makefile.am to adjust compilation rules such as CC,
CFLAGS, LDFLAGS, AS and ASFLAGS. You
will also have to define the name of the loader as target
Step 2: Build a loader¶
PAL needs to run on the target host like a regular executable. To run Graphene, PAL must initialize the proper environments and load the applications as well as the library OS in the form of Linux ELF binaries. To start the implemention of PAL loader, we suggest you begin with the following APIs in your host-specific directory:
db_main.c: This file must contain the entry function of your loader (the
main()function) and APIs to retrieve host-specific information. The definitions of the APIs are as follows:
_DkGetAllocationAlignment(required): Return the allocation alignment (granularity) of the target platform. Some platforms have different allocation alignments rather than the usual page-size alignment.
_DkGetAvailableUserAddressRange(required): PAL must provide a user address range that applications can use. None of these addresses should be used by PAL internally.
_DkGetProcessId(required): Return a unique process ID for each process.
_DkGetHostId(optional): Return a unique host ID for each host.
_DkGetCPUInfo(optional): Retrieve CPU information, such as vendor ID, model name.
pal_main(PAL_NUM instance_id, PAL_HANDLE manifest_handle, PAL_HANDLE exec_handle, PAL_PTR exec_loaded_addr, PAL_HANDLE parent_process, PAL_HANDLE first_thread, PAL_STR *arguments, PAL_STR *environments)¶
Main initialization function.
This function must be called by the host-specific loader.
instance_id: current instance id
manifest_handle: manifest handle if opened
exec_handle: executable handle if opened
exec_loaded_addr: executable addr if loaded
parent_process: parent process if it’s a child
first_thread: first thread handle
arguments: application arguments
environments: environment variables
pal_host.h: This file needs to define the member of
PAL_HANDLEfor handles of files, devices, pipes, sockets, threads, processes, etc.
db_files.c: To implement a basic loader, you have to specify how to open, read, and map an executable file. At least file_open, file_read, file_map, file_attrquery, file_attrquerybyhdl must be implemented to load a basic
db_memory.c: The same as
db_files.c, this file also contain APIs essential to PAL loader. At least _DkCheckMemoryMappable, _DkVirtualMemoryAlloc, _DkVirtualMemoryFree, _DkVirtualMemoryProtect must be implemented.
db_rtld.c: This file must handle how symbols are resolved against the PAL loader itself, to discover the entry address of the host ABI. If the PAL loader is a Linux ELF binary, you may simply add a link_map to the loaded_maps list. Otherwise, you need to implement resolve_rtld function to return addresses of the host ABI by names.
You may implement the optional _DkDebugAddMap and _DkDebugDelMap to use a host-specific debugger such as GDB to debug applications in Graphene.
Step 3: Test a HelloWorld program without loading library OS¶
Pal/test, we provide a test program that can run without the library
OS and directly use the PAL Host ABI. If you can successfully run
HelloWorld program, congratulations, you have a working PAL loader.
Step 4: Implementing the whole PAL Host ABI¶
Now it is time to complete the whole implementation of the PAL Host ABI. Once you have finished implementation, use the regression tests to confirm whether your implementation is compatible with the PAL Host ABI. To run the regression tests, run the following steps:
cd Pal/regression make regression
Step 5: Running Application with Library OS¶
With a completely implemented PAL, you should be able to run any applications that are currently supported by Graphene on your new platform. Please be aware you should not try to build any application binaries on your target host. On the contrary, you should build them on a Linux host and ship them to your target host.