mirror of
https://github.com/c64scene-ar/llvm-6502.git
synced 2024-12-26 21:32:10 +00:00
blockfreq: Document BlockFrequencyInfo terminology
Documents terminology used in the forthcoming rewrite of BlockFrequencyInfo. <rdar://problem/14292693> git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@206086 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
parent
670060dddf
commit
23a6033104
130
docs/BlockFrequencyTerminology.rst
Normal file
130
docs/BlockFrequencyTerminology.rst
Normal file
@ -0,0 +1,130 @@
|
||||
================================
|
||||
LLVM Block Frequency Terminology
|
||||
================================
|
||||
|
||||
.. contents::
|
||||
:local:
|
||||
|
||||
Introduction
|
||||
============
|
||||
|
||||
Block Frequency is a metric for estimating the relative frequency of different
|
||||
basic blocks. This document describes the terminology that the
|
||||
``BlockFrequencyInfo`` and ``MachineBlockFrequencyInfo`` analysis passes use.
|
||||
|
||||
Branch Probability
|
||||
==================
|
||||
|
||||
Blocks with multiple successors have probabilities associated with each
|
||||
outgoing edge. These are called branch probabilities. For a given block, the
|
||||
sum of its outgoing branch probabilities should be 1.0.
|
||||
|
||||
Branch Weight
|
||||
=============
|
||||
|
||||
Rather than storing fractions on each edge, we store an integer weight.
|
||||
Weights are relative to the other edges of a given predecessor block. The
|
||||
branch probability associated with a given edge is its own weight divided by
|
||||
the sum of the weights on the predecessor's outgoing edges.
|
||||
|
||||
For example, consider this IR:
|
||||
|
||||
.. code-block:: llvm
|
||||
|
||||
define void @foo() {
|
||||
; ...
|
||||
A:
|
||||
br i1 %cond, label %B, label %C, !prof !0
|
||||
; ...
|
||||
}
|
||||
!0 = metadata !{metadata !"branch_weights", i32 7, i32 8}
|
||||
|
||||
and this simple graph representation::
|
||||
|
||||
A -> B (edge-weight: 7)
|
||||
A -> C (edge-weight: 8)
|
||||
|
||||
The probability of branching from block A to block B is 7/15, and the
|
||||
probability of branching from block A to block C is 8/15.
|
||||
|
||||
See :doc:`BranchWeightMetadata` for details about the branch weight IR
|
||||
representation.
|
||||
|
||||
Block Frequency
|
||||
===============
|
||||
|
||||
Block frequency is a relative metric that represents the number of times a
|
||||
block executes. The ratio of a block frequency to the entry block frequency is
|
||||
the expected number of times the block will execute per entry to the function.
|
||||
|
||||
Block frequency is the main output of the ``BlockFrequencyInfo`` and
|
||||
``MachineBlockFrequencyInfo`` analysis passes.
|
||||
|
||||
Implementation: a series of DAGs
|
||||
================================
|
||||
|
||||
The implementation of the block frequency calculation analyses each loop,
|
||||
bottom-up, ignoring backedges; i.e., as a DAG. After each loop is processed,
|
||||
it's packaged up to act as a pseudo-node in its parent loop's (or the
|
||||
function's) DAG analysis.
|
||||
|
||||
Block Mass
|
||||
==========
|
||||
|
||||
For each DAG, the entry node is assigned a mass of ``UINT64_MAX`` and mass is
|
||||
distributed to successors according to branch weights. Block Mass uses a
|
||||
fixed-point representation where ``UINT64_MAX`` represents ``1.0`` and ``0``
|
||||
represents a number just above ``0.0``.
|
||||
|
||||
After mass is fully distributed, in any cut of the DAG that separates the exit
|
||||
nodes from the entry node, the sum of the block masses of the nodes succeeded
|
||||
by a cut edge should equal ``UINT64_MAX``. In other words, mass is conserved
|
||||
as it "falls" through the DAG.
|
||||
|
||||
If a function's basic block graph is a DAG, then block masses are valid block
|
||||
frequencies. This works poorly in practise though, since downstream users rely
|
||||
on adding block frequencies together without hitting the maximum.
|
||||
|
||||
Loop Scale
|
||||
==========
|
||||
|
||||
Loop scale is a metric that indicates how many times a loop iterates per entry.
|
||||
As mass is distributed through the loop's DAG, the (otherwise ignored) backedge
|
||||
mass is collected. This backedge mass is used to compute the exit frequency,
|
||||
and thus the loop scale.
|
||||
|
||||
Implementation: Getting from mass and scale to frequency
|
||||
========================================================
|
||||
|
||||
After analysing the complete series of DAGs, each block has a mass (local to
|
||||
its containing loop, if any), and each loop psuedo-node has a loop scale and
|
||||
its own mass (from its parent's DAG).
|
||||
|
||||
We can get an initial frequency assignment (with entry frequency of 1.0) by
|
||||
multiplying these masses and loop scales together. A given block's frequency
|
||||
is the product of its mass, the mass of containing loops' pseudo nodes, and the
|
||||
containing loops' loop scales.
|
||||
|
||||
Since downstream users need integers (not floating point), this initial
|
||||
frequency assignment is shifted as necessary into the range of ``uint64_t``.
|
||||
|
||||
Block Bias
|
||||
==========
|
||||
|
||||
Block bias is a proposed *absolute* metric to indicate a bias toward or away
|
||||
from a given block during a function's execution. The idea is that bias can be
|
||||
used in isolation to indicate whether a block is relatively hot or cold, or to
|
||||
compare two blocks to indicate whether one is hotter or colder than the other.
|
||||
|
||||
The proposed calculation involves calculating a *reference* block frequency,
|
||||
where:
|
||||
|
||||
* every branch weight is assumed to be 1 (i.e., every branch probability
|
||||
distribution is even) and
|
||||
|
||||
* loop scales are ignored.
|
||||
|
||||
This reference frequency represents what the block frequency would be in an
|
||||
unbiased graph.
|
||||
|
||||
The bias is the ratio of the block frequency to this reference block frequency.
|
@ -8,10 +8,11 @@ LLVM Branch Weight Metadata
|
||||
Introduction
|
||||
============
|
||||
|
||||
Branch Weight Metadata represents branch weights as its likeliness to be
|
||||
taken. 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 Weight Metadata represents branch weights as its likeliness to be taken
|
||||
(see :doc:`BlockFrequencyTerminology`). 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.
|
||||
|
@ -215,6 +215,7 @@ For API clients and LLVM developers.
|
||||
|
||||
AliasAnalysis
|
||||
BitCodeFormat
|
||||
BlockFrequencyTerminology
|
||||
BranchWeightMetadata
|
||||
Bugpoint
|
||||
CodeGenerator
|
||||
@ -298,6 +299,10 @@ For API clients and LLVM developers.
|
||||
:doc:`BranchWeightMetadata`
|
||||
Provides information about Branch Prediction Information.
|
||||
|
||||
:doc:`BlockFrequencyTerminology`
|
||||
Provides information about terminology used in the ``BlockFrequencyInfo``
|
||||
analysis pass.
|
||||
|
||||
:doc:`SegmentedStacks`
|
||||
This document describes segmented stacks and how they are used in LLVM.
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user