Branch Weight Metadata represents branch weights as its likeliness to be taken (see LLVM Block Frequency Terminology). Metadata is assigned to the TerminatorInst as a MDNode of the MD_prof kind. The first operator is always a MDString node with the string “branch_weights”. Number of operators depends on the terminator type.
Branch weights might be fetch from the profiling file, or generated based on __builtin_expect instruction.
All weights are represented as an unsigned 32-bit values, where higher value indicates greater chance to be taken.
Metadata is only assigned to the conditional branches. There are two extra operarands for the true and the false branch.
!0 = metadata !{
metadata !"branch_weights",
i32 <TRUE_BRANCH_WEIGHT>,
i32 <FALSE_BRANCH_WEIGHT>
}
Branch weights are assigned to every case (including the default case which is always case #0).
!0 = metadata !{
metadata !"branch_weights",
i32 <DEFAULT_BRANCH_WEIGHT>
[ , i32 <CASE_BRANCH_WEIGHT> ... ]
}
Branch weights are assigned to every destination.
!0 = metadata !{
metadata !"branch_weights",
i32 <LABEL_BRANCH_WEIGHT>
[ , i32 <LABEL_BRANCH_WEIGHT> ... ]
}
__builtin_expect(long exp, long c) instruction provides branch prediction information. The return value is the value of exp.
It is especially useful in conditional statements. Currently Clang supports two conditional statements:
The exp parameter is the condition. The c parameter is the expected comparison value. If it is equal to 1 (true), the condition is likely to be true, in other case condition is likely to be false. For example:
if (__builtin_expect(x > 0, 1)) {
// This block is likely to be taken.
}
The exp parameter is the value. The c parameter is the expected value. If the expected value doesn’t show on the cases list, the default case is assumed to be likely taken.
switch (__builtin_expect(x, 5)) {
default: break;
case 0: // ...
case 3: // ...
case 5: // This case is likely to be taken.
}
Branch Weight Metatada is not proof against CFG changes. If terminator operands’ are changed some action should be taken. In other case some misoptimizations may occur due to incorrent branch prediction information.
To allow comparing different functions durint inter-procedural analysis and optimization, MD_prof nodes can also be assigned to a function definition. The first operand is a string indicating the name of the associated counter.
Currently, one counter is supported: “function_entry_count”. This is a 64-bit counter that indicates the number of times that this function was invoked (in the case of instrumentation-based profiles). In the case of sampling-based profiles, this counter is an approximation of how many times the function was invoked.
For example, in the code below, the instrumentation for function foo() indicates that it was called 2,590 times at runtime.
define i32 @foo() !prof !1 {
ret i32 0
}
!1 = !{!"function_entry_count", i64 2590}