Clang Offload Bundler¶
Introduction¶
For heterogeneous single source programming languages, use one or more
--offload-arch=<target-id>
Clang options to specify the target IDs of the
code to generate for the offload code regions.
The tool chain may perform multiple compilations of a translation unit to
produce separate code objects for the host and potentially multiple offloaded
devices. The clang-offload-bundler
tool may be used as part of the tool
chain to combine these multiple code objects into a single bundled code object.
The tool chain may use a bundled code object as an intermediate step so that each tool chain step consumes and produces a single file as in traditional non-heterogeneous tool chains. The bundled code object contains the code objects for the host and all the offload devices.
A bundled code object may also be used to bundle just the offloaded code
objects, and embedded as data into the host code object. The host compilation
includes an init
function that will use the runtime corresponding to the
offload kind (see Bundled Code Object Offload Kind) to load the offload code
objects appropriate to the devices present when the host program is executed.
Bundled Code Object Layout¶
The layout of a bundled code object is defined by the following table:
¶ Field
Type
Size in Bytes
Description
Magic String
string
24
__CLANG_OFFLOAD_BUNDLE__
Number Of Bundle Entries
integer
8
Number of bundle entries.
1st Bundle Entry Code Object Offset
integer
8
Byte offset from beginning of bundled code object to 1st code object.
1st Bundle Entry Code Object Size
integer
8
Byte size of 1st code object.
1st Bundle Entry ID Length
integer
8
Character length of bundle entry ID of 1st code object.
1st Bundle Entry ID
string
1st Bundle Entry ID Length
Bundle entry ID of 1st code object. This is not NUL terminated. See Bundle Entry ID.
...
Nth Bundle Entry Code Object Offset
integer
8
Nth Bundle Entry Code Object Size
integer
8
Nth Bundle Entry ID Length
integer
8
Nth Bundle Entry ID
string
1st Bundle Entry ID Length
1st Bundle Entry Code Object
bytes
1st Bundle Entry Code Object Size
...
Nth Bundle Entry Code Object
bytes
Nth Bundle Entry Code Object Size
Bundle Entry ID¶
Each entry in a bundled code object (see Bundled Code Object Layout) has a bundle entry ID that indicates the kind of the entry’s code object and the runtime that manages it.
Bundle entry ID syntax is defined by the following BNF syntax:
<bundle-entry-id> ::== <offload-kind> "-" <target-triple> [ "-" <target-id> ]
Where:
- offload-kind
The runtime responsible for managing the bundled entry code object. See Bundled Code Object Offload Kind.
¶ Offload Kind
Description
host
Host code object.
clang-offload-bundler
always includes this entry as the first bundled code object entry. For an embedded bundled code object this entry is not used by the runtime and so is generally an empty code object.hip
Offload code object for the HIP language. Used for all HIP language offload code objects when the
clang-offload-bundler
is used to bundle code objects as intermediate steps of the tool chain. Also used for AMD GPU code objects before ABI version V4 when theclang-offload-bundler
is used to create a fat binary to be loaded by the HIP runtime. The fat binary can be loaded directly from a file, or be embedded in the host code object as a data section with the name.hip_fatbin
.hipv4
Offload code object for the HIP language. Used for AMD GPU code objects with at least ABI version V4 when the
clang-offload-bundler
is used to create a fat binary to be loaded by the HIP runtime. The fat binary can be loaded directly from a file, or be embedded in the host code object as a data section with the name.hip_fatbin
.openmp
Offload code object for the OpenMP language extension.
- target-triple
The target triple of the code object.
- target-id
The canonical target ID of the code object. Present only if the target supports a target ID. See Target ID.
Each entry of a bundled code object must have a different bundle entry ID. There can be multiple entries for the same processor provided they differ in target feature settings. If there is an entry with a target feature specified as Any, then all entries must specify that target feature as Any for the same processor. There may be additional target specific restrictions.
Target ID¶
A target ID is used to indicate the processor and optionally its configuration, expressed by a set of target features, that affect ISA generation. It is target specific if a target ID is supported, or if the target triple alone is sufficient to specify the ISA generation.
It is used with the -mcpu=<target-id>
and --offload-arch=<target-id>
Clang compilation options to specify the kind of code to generate.
It is also used as part of the bundle entry ID to identify the code object. See Bundle Entry ID.
Target ID syntax is defined by the following BNF syntax:
<target-id> ::== <processor> ( ":" <target-feature> ( "+" | "-" ) )*
Where:
- processor
Is a the target specific processor or any alternative processor name.
- target-feature
Is a target feature name that is supported by the processor. Each target feature must appear at most once in a target ID and can have one of three values:
- Any
Specified by omitting the target feature from the target ID. A code object compiled with a target ID specifying the default value of a target feature can be loaded and executed on a processor configured with the target feature on or off.
- On
Specified by
+
, indicating the target feature is enabled. A code object compiled with a target ID specifying a target feature on can only be loaded on a processor configured with the target feature on.- Off
specified by
-
, indicating the target feature is disabled. A code object compiled with a target ID specifying a target feature off can only be loaded on a processor configured with the target feature off.
There are two forms of target ID:
- Non-Canonical Form
The non-canonical form is used as the input to user commands to allow the user greater convenience. It allows both the primary and alternative processor name to be used and the target features may be specified in any order.
- Canonical Form
The canonical form is used for all generated output to allow greater convenience for tools that consume the information. It is also used for internal passing of information between tools. Only the primary and not alternative processor name is used and the target features are specified in alphabetic order. Command line tools convert non-canonical form to canonical form.
Target Specific information¶
Target specific information is available for the following:
- AMD GPU
AMD GPU supports target ID and target features. See User Guide for AMDGPU Backend which defines the processors and target features supported.
Most other targets do not support target IDs.