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EscapeAnalysis

Core.Compiler.EscapeAnalysis is a compiler utility module that aims to analyze escape information ofJulia's SSA-form IR a.k.a.IRCode.

This escape analysis aims to:

Try it out!

You can give a try to the escape analysis by loading theEAUtils.jl utility script that defines the convenience entriescode_escapes and@code_escapes for testing and debugging purposes:

julia> let JULIA_DIR = normpath(Sys.BINDIR, "..", "share", "julia")           # load `EscapeAnalysis` module to define the core analysis code           include(normpath(JULIA_DIR, "base", "compiler", "ssair", "EscapeAnalysis", "EscapeAnalysis.jl"))           using .EscapeAnalysis           # load `EAUtils` module to define the utilities           include(normpath(JULIA_DIR, "test", "compiler", "EscapeAnalysis", "EAUtils.jl"))           using .EAUtils       end
julia> mutable struct SafeRef{T} x::T end
julia> Base.getindex(x::SafeRef) = x.x;
julia> Base.setindex!(x::SafeRef, v) = x.x = v;
julia> Base.isassigned(x::SafeRef) = true;
julia> get′(x) = isassigned(x) ? x[] : throw(x);
julia> result = code_escapes((String,String,String,String)) do s1, s2, s3, s4 r1 = Ref(s1) r2 = Ref(s2) r3 = SafeRef(s3) try s1 = get′(r1) ret = sizeof(s1) catch err global GV = err # will definitely escape `r1` end s2 = get′(r2) # still `r2` doesn't escape fully s3 = get′(r3) # still `r3` doesn't escape fully s4 = sizeof(s4) # the argument `s4` doesn't escape here return s2, s3, s4 end#1(X s1::String,↑ s2::String,↑ s3::String,✓ s4::String) in Main at REPL[7]:2X1 ── %1 = %new(Base.RefValue{String}, _2)::Base.RefValue{String}*′ %2 = %new(Base.RefValue{String}, _3)::Base.RefValue{String}✓′└─── %3 = %new(Main.SafeRef{String}, _4)::Main.SafeRef{String}✓′2 ── %4 = ϒ (%3)::Main.SafeRef{String}*′ %5 = ϒ (%2)::Base.RefValue{String} %6 = ϒ (_5)::String└─── %7 = enter #8◌3 ── %8 = Base.isdefined(%1, :x)::Bool└─── goto #5 if not %8X4 ── Base.getfield(%1, :x)::String└─── goto #6◌5 ── Main.throw(%1)::Union{}└─── unreachable◌6 ── $(Expr(:leave, :(%7)))◌7 ── goto #11✓′8 ┄─ %16 = φᶜ (%4)::Main.SafeRef{String}*′ %17 = φᶜ (%5)::Base.RefValue{String} %18 = φᶜ (%6)::StringX└─── %19 = $(Expr(:the_exception))::Any9 ── nothing::Nothing10 ─ (Main.GV = %19)::Any└─── $(Expr(:pop_exception, :(%7)))::Core.Const(nothing)✓′11 ┄ %23 = φ (#7 => %3, #10 => %16)::Main.SafeRef{String}*′ %24 = φ (#7 => %2, #10 => %17)::Base.RefValue{String} %25 = φ (#7 => _5, #10 => %18)::String %26 = Base.isdefined(%24, :x)::Bool└─── goto #13 if not %2612 ─ %28 = Base.getfield(%24, :x)::String└─── goto #14◌13 ─ Main.throw(%24)::Union{}└─── unreachable14 ─ %32 = Base.getfield(%23, :x)::String %33 = Core.sizeof(%25)::Int64↑′ %34 = Core.tuple(%28, %32, %33)::Tuple{String, String, Int64}└─── return %34

The symbols on the side of each call argument and SSA statements represent the following meaning:

Escape information of each call argument and SSA value can be inspected programmatically as like:

julia> result.state[Core.Argument(3)] # get EscapeInfo of `s2`ReturnEscape
julia> result.state[Core.SSAValue(3)] # get EscapeInfo of `r3`NoEscape′

Analysis Design

Lattice Design

EscapeAnalysis is implemented as adata-flow analysis that works on a lattice ofx::EscapeInfo, which is composed of the following properties:

These attributes can be combined to create a partial lattice that has a finite height, given the invariant that an input program has a finite number of statements, which is assured by Julia's semantics. The clever part of this lattice design is that it enables a simpler implementation of lattice operations by allowing them to handle each lattice property separately[LatticeDesign].

Backward Escape Propagation

This escape analysis implementation is based on the data-flow algorithm described in the paper[MM02]. The analysis works on the lattice ofEscapeInfo and transitions lattice elements from the bottom to the top until every lattice element gets converged to a fixed point by maintaining a (conceptual) working set that contains program counters corresponding to remaining SSA statements to be analyzed. The analysis manages a single global state that tracksEscapeInfo of each argument and SSA statement, but also note that some flow-sensitivity is encoded as program counters recorded inEscapeInfo'sReturnEscape property, which can be combined with domination analysis later to reason about flow-sensitivity if necessary.

One distinctive design of this escape analysis is that it is fullybackward, i.e. escape information flowsfrom usages to definitions. For example, in the code snippet below, EA first analyzes the statementreturn %1 and imposesReturnEscape on%1 (corresponding toobj), and then it analyzes%1 = %new(Base.RefValue{String, _2})) and propagates theReturnEscape imposed on%1 to the call argument_2 (corresponding tos):

julia> code_escapes((String,)) do s           obj = Ref(s)           return obj       end#3(↑ s::String) in Main at REPL[1]:2↑′1 ─ %1 = %new(Base.RefValue{String}, _2)::Base.RefValue{String}└──      return %1

The key observation here is that this backward analysis allows escape information to flow naturally along the use-def chain rather than control-flow[BackandForth]. As a result this scheme enables a simple implementation of escape analysis, e.g.PhiNode for example can be handled simply by propagating escape information imposed on aPhiNode to its predecessor values:

julia> code_escapes((Bool, String, String)) do cnd, s, t           if cnd               obj = Ref(s)           else               obj = Ref(t)           end           return obj       end#5(✓ cnd::Bool,↑ s::String,↑ t::String) in Main at REPL[1]:21 ─      goto #3 if not _2↑′2 ─ %2 = %new(Base.RefValue{String}, _3)::Base.RefValue{String}└──      goto #4↑′3 ─ %4 = %new(Base.RefValue{String}, _4)::Base.RefValue{String}↑′4 ┄ %5 = φ (#2 => %2, #3 => %4)::Base.RefValue{String}└──      return %5

Alias Analysis

EscapeAnalysis implements a backward field analysis in order to reason about escapes imposed on object fields with certain accuracy, andx::EscapeInfo'sx.AliasInfo property exists for this purpose. It records all possible values that can be aliased to fields ofx at "usage" sites, and then the escape information of that recorded values are propagated to the actual field values later at "definition" sites. More specifically, the analysis records a value that may be aliased to a field of object by analyzinggetfield call, and then it propagates its escape information to the field when analyzing%new(...) expression orsetfield! call[Dynamism].

julia> code_escapes((String,)) do s           obj = SafeRef("init")           obj[] = s           v = obj[]           return v       end#7(↑ s::String) in Main at REPL[1]:21 ─     return _2

In the example above,ReturnEscape imposed on%3 (corresponding tov) isnot directly propagated to%1 (corresponding toobj) but rather thatReturnEscape is only propagated to_2 (corresponding tos). Here%3 is recorded in%1'sAliasInfo property as it can be aliased to the first field of%1, and then when analyzingBase.setfield!(%1, :x, _2)::String, that escape information is propagated to_2 but not to%1.

SoEscapeAnalysis tracks which IR elements can be aliased across agetfield-%new/setfield! chain in order to analyze escapes of object fields, but actually this alias analysis needs to be generalized to handle other IR elements as well. This is because in Julia IR the same object is sometimes represented by different IR elements and so we should make sure that those different IR elements that actually can represent the same object share the same escape information. IR elements that return the same object as their operand(s), such asPiNode andtypeassert, can cause that IR-level aliasing and thus requires escape information imposed on any of such aliased values to be shared between them. More interestingly, it is also needed for correctly reasoning about mutations onPhiNode. Let's consider the following example:

julia> code_escapes((Bool, String,)) do cond, x           if cond               ϕ2 = ϕ1 = SafeRef("foo")           else               ϕ2 = ϕ1 = SafeRef("bar")           end           ϕ2[] = x           y = ϕ1[]           return y       end#9(✓ cond::Bool,↑ x::String) in Main at REPL[1]:21 ─      goto #3 if not _2✓′2 ─ %2 = %new(Main.SafeRef{String}, "foo")::Main.SafeRef{String}└──      goto #4✓′3 ─ %4 = %new(Main.SafeRef{String}, "bar")::Main.SafeRef{String}✓′4 ┄ %5 = φ (#2 => %2, #3 => %4)::Main.SafeRef{String}✓′ %6 = φ (#2 => %2, #3 => %4)::Main.SafeRef{String}      Base.setfield!(%5, :x, _3)::String %8 = Base.getfield(%6, :x)::String└──      return %8

ϕ1 = %5 andϕ2 = %6 are aliased and thusReturnEscape imposed on%8 = Base.getfield(%6, :x)::String (corresponding toy = ϕ1[]) needs to be propagated toBase.setfield!(%5, :x, _3)::String (corresponding toϕ2[] = x). In order for such escape information to be propagated correctly, the analysis should recognize that thepredecessors ofϕ1 andϕ2 can be aliased as well and equalize their escape information.

One interesting property of such aliasing information is that it is not known at "usage" site but can only be derived at "definition" site (as aliasing is conceptually equivalent to assignment), and thus it doesn't naturally fit in a backward analysis. In order to efficiently propagate escape information between related values, EscapeAnalysis.jl uses an approach inspired by the escape analysis algorithm explained in an old JVM paper[JVM05]. That is, in addition to managing escape lattice elements, the analysis also maintains an "equi"-alias set, a disjoint set of aliased arguments and SSA statements. The alias set manages values that can be aliased to each other and allows escape information imposed on any of such aliased values to be equalized between them.

Array Analysis

The alias analysis for object fields described above can also be generalized to analyze array operations.EscapeAnalysis implements handlings for various primitive array operations so that it can propagate escapes viaarrayref-arrayset use-def chain and does not escape allocated arrays too conservatively:

julia> code_escapes((String,)) do s           ary = Any[]           push!(ary, SafeRef(s))           return ary[1], length(ary)       end#11(X s::String) in Main at REPL[1]:2X1 ── %1  = Core.getproperty(Memory{Any}, :instance)::Memory{Any}X %2  = invoke Core.memoryref(%1::Memory{Any})::MemoryRef{Any}X %3  = %new(Vector{Any}, %2, (0,))::Vector{Any}X %4  = %new(Main.SafeRef{String}, _2)::Main.SafeRef{String}X %5  = Base.getfield(%3, :ref)::MemoryRef{Any}X %6  = Base.getfield(%5, :mem)::Memory{Any}X %7  = Base.getfield(%6, :length)::Int64X %8  = Base.getfield(%3, :size)::Tuple{Int64} %9  = $(Expr(:boundscheck, true))::BoolX %10 = Base.getfield(%8, 1, %9)::Int64 %11 = Base.add_int(%10, 1)::Int64 %12 = Base.memoryrefoffset(%5)::Int64X %13 = Core.tuple(%11)::Tuple{Int64}       Base.setfield!(%3, :size, %13)::Tuple{Int64} %15 = Base.add_int(%12, %11)::Int64 %16 = Base.sub_int(%15, 1)::Int64 %17 = Base.slt_int(%7, %16)::Bool└───       goto #3 if not %17X2 ── %19 = %new(Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}, %3, %16, %12, %11, %10, %7, %6, %5)::Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}└───       invoke %19()::MemoryRef{Any}3 ┄─       goto #4X4 ── %22 = Base.getfield(%3, :size)::Tuple{Int64} %23 = $(Expr(:boundscheck, true))::BoolX %24 = Base.getfield(%22, 1, %23)::Int64X %25 = Base.getfield(%3, :ref)::MemoryRef{Any}X %26 = Base.memoryrefnew(%25, %24, false)::MemoryRef{Any}X       Base.memoryrefset!(%26, %4, :not_atomic, false)::Main.SafeRef{String}└───       goto #5◌5 ── %29 = $(Expr(:boundscheck, true))::Bool└───       goto #9 if not %29◌6 ── %31 = Base.sub_int(1, 1)::Int64 %32 = Base.bitcast(Base.UInt, %31)::UInt64X %33 = Base.getfield(%3, :size)::Tuple{Int64} %34 = $(Expr(:boundscheck, true))::BoolX %35 = Base.getfield(%33, 1, %34)::Int64 %36 = Base.bitcast(Base.UInt, %35)::UInt64 %37 = Base.ult_int(%32, %36)::Bool└───       goto #8 if not %37◌7 ──       goto #9◌8 ── %40 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %40::Tuple{Int64})::Union{}└───       unreachableX9 ┄─ %43 = Base.getfield(%3, :ref)::MemoryRef{Any}X %44 = Base.memoryrefnew(%43, 1, false)::MemoryRef{Any}X %45 = Base.memoryrefget(%44, :not_atomic, false)::Any└───       goto #10X10 ─ %47 = Base.getfield(%3, :size)::Tuple{Int64} %48 = $(Expr(:boundscheck, true))::BoolX %49 = Base.getfield(%47, 1, %48)::Int64↑′ %50 = Core.tuple(%45, %49)::Tuple{Any, Int64}└───       return %50

In the above exampleEscapeAnalysis understands that%20 and%2 (corresponding to the allocated objectSafeRef(s)) are aliased via thearrayset-arrayref chain and imposesReturnEscape on them, but not impose it on the allocated array%1 (corresponding toary).EscapeAnalysis still imposesThrownEscape onary since it also needs to account for potential escapes viaBoundsError, but also note that such unhandledThrownEscape can often be ignored when optimizing theary allocation.

Furthermore, in cases when array index information as well as array dimensions can be knownprecisely,EscapeAnalysis is able to even reason about "per-element" aliasing viaarrayref-arrayset chain, asEscapeAnalysis does "per-field" alias analysis for objects:

julia> code_escapes((String,String)) do s, t           ary = Vector{Any}(undef, 2)           ary[1] = SafeRef(s)           ary[2] = SafeRef(t)           return ary[1], length(ary)       end#13(X s::String,X t::String) in Main at REPL[1]:2X1 ── %1  = $(Expr(:foreigncall, :(:jl_alloc_genericmemory), Ref{Memory{Any}}, svec(Any, Int64), 0, :(:ccall), Memory{Any}, 2, 2))::Memory{Any}X %2  = Core.memoryrefnew(%1)::MemoryRef{Any}X %3  = %new(Vector{Any}, %2, (2,))::Vector{Any}X %4  = %new(Main.SafeRef{String}, _2)::Main.SafeRef{String} %5  = $(Expr(:boundscheck, true))::Bool└───       goto #5 if not %5◌2 ── %7  = Base.sub_int(1, 1)::Int64 %8  = Base.bitcast(Base.UInt, %7)::UInt64X %9  = Base.getfield(%3, :size)::Tuple{Int64} %10 = $(Expr(:boundscheck, true))::BoolX %11 = Base.getfield(%9, 1, %10)::Int64 %12 = Base.bitcast(Base.UInt, %11)::UInt64 %13 = Base.ult_int(%8, %12)::Bool└───       goto #4 if not %13◌3 ──       goto #5◌4 ── %16 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %16::Tuple{Int64})::Union{}└───       unreachableX5 ┄─ %19 = Base.getfield(%3, :ref)::MemoryRef{Any}X %20 = Base.memoryrefnew(%19, 1, false)::MemoryRef{Any}X       Base.memoryrefset!(%20, %4, :not_atomic, false)::Main.SafeRef{String}└───       goto #6X6 ── %23 = %new(Main.SafeRef{String}, _3)::Main.SafeRef{String} %24 = $(Expr(:boundscheck, true))::Bool└───       goto #10 if not %24◌7 ── %26 = Base.sub_int(2, 1)::Int64 %27 = Base.bitcast(Base.UInt, %26)::UInt64X %28 = Base.getfield(%3, :size)::Tuple{Int64} %29 = $(Expr(:boundscheck, true))::BoolX %30 = Base.getfield(%28, 1, %29)::Int64 %31 = Base.bitcast(Base.UInt, %30)::UInt64 %32 = Base.ult_int(%27, %31)::Bool└───       goto #9 if not %32◌8 ──       goto #10◌9 ── %35 = Core.tuple(2)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %35::Tuple{Int64})::Union{}└───       unreachableX10 ┄ %38 = Base.getfield(%3, :ref)::MemoryRef{Any}X %39 = Base.memoryrefnew(%38, 2, false)::MemoryRef{Any}X       Base.memoryrefset!(%39, %23, :not_atomic, false)::Main.SafeRef{String}└───       goto #11◌11 ─ %42 = $(Expr(:boundscheck, true))::Bool└───       goto #15 if not %42◌12 ─ %44 = Base.sub_int(1, 1)::Int64 %45 = Base.bitcast(Base.UInt, %44)::UInt64X %46 = Base.getfield(%3, :size)::Tuple{Int64} %47 = $(Expr(:boundscheck, true))::BoolX %48 = Base.getfield(%46, 1, %47)::Int64 %49 = Base.bitcast(Base.UInt, %48)::UInt64 %50 = Base.ult_int(%45, %49)::Bool└───       goto #14 if not %50◌13 ─       goto #15◌14 ─ %53 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %53::Tuple{Int64})::Union{}└───       unreachableX15 ┄ %56 = Base.getfield(%3, :ref)::MemoryRef{Any}X %57 = Base.memoryrefnew(%56, 1, false)::MemoryRef{Any}X %58 = Base.memoryrefget(%57, :not_atomic, false)::Any└───       goto #16X16 ─ %60 = Base.getfield(%3, :size)::Tuple{Int64} %61 = $(Expr(:boundscheck, true))::BoolX %62 = Base.getfield(%60, 1, %61)::Int64↑′ %63 = Core.tuple(%58, %62)::Tuple{Any, Int64}└───       return %63

Note thatReturnEscape is only imposed on%2 (corresponding toSafeRef(s)) but not on%4 (corresponding toSafeRef(t)). This is because the allocated array's dimension and indices involved with allarrayref/arrayset operations are available as constant information andEscapeAnalysis can understand that%6 is aliased to%2 but never be aliased to%4. In this kind of case, the succeeding optimization passes will be able to replaceBase.arrayref(true, %1, 1)::Any with%2 (a.k.a. "load-forwarding") and eventually eliminate the allocation of array%1 entirely (a.k.a. "scalar-replacement").

When compared to object field analysis, where an access to object field can be analyzed trivially using type information derived by inference, array dimension isn't encoded as type information and so we need an additional analysis to derive that information.EscapeAnalysis at this moment first does an additional simple linear scan to analyze dimensions of allocated arrays before firing up the main analysis routine so that the succeeding escape analysis can precisely analyze operations on those arrays.

However, such precise "per-element" alias analysis is often hard. Essentially, the main difficulty inherit to array is that array dimension and index are often non-constant:

Let's discuss those difficulties with concrete examples.

In the following example,EscapeAnalysis fails the precise alias analysis since the index at theBase.arrayset(false, %4, %8, %6)::Vector{Any} is not (trivially) constant. EspeciallyAny[nothing, nothing] forms a loop and calls thatarrayset operation in a loop, where%6 is represented as a ϕ-node value (whose value is control-flow dependent). As a result,ReturnEscape ends up imposed on both%23 (corresponding toSafeRef(s)) and%25 (corresponding toSafeRef(t)), although ideally we want it to be imposed only on%23 but not on%25:

julia> code_escapes((String,String)) do s, t           ary = Any[nothing, nothing]           ary[1] = SafeRef(s)           ary[2] = SafeRef(t)           return ary[1], length(ary)       end#15(X s::String,X t::String) in Main at REPL[1]:2X1 ── %1  = $(Expr(:foreigncall, :(:jl_alloc_genericmemory), Ref{Memory{Any}}, svec(Any, Int64), 0, :(:ccall), Memory{Any}, 2, 2))::Memory{Any}X %2  = Core.memoryrefnew(%1)::MemoryRef{Any}X└─── %3  = %new(Vector{Any}, %2, (2,))::Vector{Any}2 ┄─ %4  = φ (#1 => 1, #6 => %14)::Int64 %5  = φ (#1 => 1, #6 => %15)::Int64X %6  = Base.getfield(%3, :ref)::MemoryRef{Any}X %7  = Base.memoryrefnew(%6, %4, false)::MemoryRef{Any}       Base.memoryrefset!(%7, nothing, :not_atomic, false)::Nothing %9  = (%5 === 2)::Bool└───       goto #4 if not %9◌3 ──       goto #5◌4 ── %12 = Base.add_int(%5, 1)::Int64└───       goto #5◌5 ┄─ %14 = φ (#4 => %12)::Int64 %15 = φ (#4 => %12)::Int64 %16 = φ (#3 => true, #4 => false)::Bool %17 = Base.not_int(%16)::Bool└───       goto #7 if not %17◌6 ──       goto #2◌7 ──       goto #8X8 ── %21 = %new(Main.SafeRef{String}, _2)::Main.SafeRef{String} %22 = $(Expr(:boundscheck, true))::Bool└───       goto #12 if not %22◌9 ── %24 = Base.sub_int(1, 1)::Int64 %25 = Base.bitcast(Base.UInt, %24)::UInt64X %26 = Base.getfield(%3, :size)::Tuple{Int64} %27 = $(Expr(:boundscheck, true))::BoolX %28 = Base.getfield(%26, 1, %27)::Int64 %29 = Base.bitcast(Base.UInt, %28)::UInt64 %30 = Base.ult_int(%25, %29)::Bool└───       goto #11 if not %30◌10 ─       goto #12◌11 ─ %33 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %33::Tuple{Int64})::Union{}└───       unreachableX12 ┄ %36 = Base.getfield(%3, :ref)::MemoryRef{Any}X %37 = Base.memoryrefnew(%36, 1, false)::MemoryRef{Any}X       Base.memoryrefset!(%37, %21, :not_atomic, false)::Main.SafeRef{String}└───       goto #13X13 ─ %40 = %new(Main.SafeRef{String}, _3)::Main.SafeRef{String} %41 = $(Expr(:boundscheck, true))::Bool└───       goto #17 if not %41◌14 ─ %43 = Base.sub_int(2, 1)::Int64 %44 = Base.bitcast(Base.UInt, %43)::UInt64X %45 = Base.getfield(%3, :size)::Tuple{Int64} %46 = $(Expr(:boundscheck, true))::BoolX %47 = Base.getfield(%45, 1, %46)::Int64 %48 = Base.bitcast(Base.UInt, %47)::UInt64 %49 = Base.ult_int(%44, %48)::Bool└───       goto #16 if not %49◌15 ─       goto #17◌16 ─ %52 = Core.tuple(2)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %52::Tuple{Int64})::Union{}└───       unreachableX17 ┄ %55 = Base.getfield(%3, :ref)::MemoryRef{Any}X %56 = Base.memoryrefnew(%55, 2, false)::MemoryRef{Any}X       Base.memoryrefset!(%56, %40, :not_atomic, false)::Main.SafeRef{String}└───       goto #18◌18 ─ %59 = $(Expr(:boundscheck, true))::Bool└───       goto #22 if not %59◌19 ─ %61 = Base.sub_int(1, 1)::Int64 %62 = Base.bitcast(Base.UInt, %61)::UInt64X %63 = Base.getfield(%3, :size)::Tuple{Int64} %64 = $(Expr(:boundscheck, true))::BoolX %65 = Base.getfield(%63, 1, %64)::Int64 %66 = Base.bitcast(Base.UInt, %65)::UInt64 %67 = Base.ult_int(%62, %66)::Bool└───       goto #21 if not %67◌20 ─       goto #22◌21 ─ %70 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %70::Tuple{Int64})::Union{}└───       unreachableX22 ┄ %73 = Base.getfield(%3, :ref)::MemoryRef{Any}X %74 = Base.memoryrefnew(%73, 1, false)::MemoryRef{Any}X %75 = Base.memoryrefget(%74, :not_atomic, false)::Any└───       goto #23X23 ─ %77 = Base.getfield(%3, :size)::Tuple{Int64} %78 = $(Expr(:boundscheck, true))::BoolX %79 = Base.getfield(%77, 1, %78)::Int64↑′ %80 = Core.tuple(%75, %79)::Tuple{Any, Int64}└───       return %80

The next example illustrates how vector resizing makes precise alias analysis hard. The essential difficulty is that the dimension of allocated array%1 is first initialized as0, but it changes by the two:jl_array_grow_end calls afterwards.EscapeAnalysis currently simply gives up precise alias analysis whenever it encounters any array resizing operations and soReturnEscape is imposed on both%2 (corresponding toSafeRef(s)) and%20 (corresponding toSafeRef(t)):

julia> code_escapes((String,String)) do s, t           ary = Any[]           push!(ary, SafeRef(s))           push!(ary, SafeRef(t))           ary[1], length(ary)       end#17(X s::String,X t::String) in Main at REPL[1]:2X1 ── %1  = Core.getproperty(Memory{Any}, :instance)::Memory{Any}X %2  = invoke Core.memoryref(%1::Memory{Any})::MemoryRef{Any}X %3  = %new(Vector{Any}, %2, (0,))::Vector{Any}X %4  = %new(Main.SafeRef{String}, _2)::Main.SafeRef{String}X %5  = Base.getfield(%3, :ref)::MemoryRef{Any}X %6  = Base.getfield(%5, :mem)::Memory{Any}X %7  = Base.getfield(%6, :length)::Int64X %8  = Base.getfield(%3, :size)::Tuple{Int64} %9  = $(Expr(:boundscheck, true))::BoolX %10 = Base.getfield(%8, 1, %9)::Int64 %11 = Base.add_int(%10, 1)::Int64 %12 = Base.memoryrefoffset(%5)::Int64X %13 = Core.tuple(%11)::Tuple{Int64}       Base.setfield!(%3, :size, %13)::Tuple{Int64} %15 = Base.add_int(%12, %11)::Int64 %16 = Base.sub_int(%15, 1)::Int64 %17 = Base.slt_int(%7, %16)::Bool└───       goto #3 if not %17X2 ── %19 = %new(Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}, %3, %16, %12, %11, %10, %7, %6, %5)::Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}└───       invoke %19()::MemoryRef{Any}3 ┄─       goto #4X4 ── %22 = Base.getfield(%3, :size)::Tuple{Int64} %23 = $(Expr(:boundscheck, true))::BoolX %24 = Base.getfield(%22, 1, %23)::Int64X %25 = Base.getfield(%3, :ref)::MemoryRef{Any}X %26 = Base.memoryrefnew(%25, %24, false)::MemoryRef{Any}X       Base.memoryrefset!(%26, %4, :not_atomic, false)::Main.SafeRef{String}└───       goto #5X5 ── %29 = %new(Main.SafeRef{String}, _3)::Main.SafeRef{String}X %30 = Base.getfield(%3, :ref)::MemoryRef{Any}X %31 = Base.getfield(%30, :mem)::Memory{Any}X %32 = Base.getfield(%31, :length)::Int64X %33 = Base.getfield(%3, :size)::Tuple{Int64} %34 = $(Expr(:boundscheck, true))::BoolX %35 = Base.getfield(%33, 1, %34)::Int64 %36 = Base.add_int(%35, 1)::Int64 %37 = Base.memoryrefoffset(%30)::Int64X %38 = Core.tuple(%36)::Tuple{Int64}       Base.setfield!(%3, :size, %38)::Tuple{Int64} %40 = Base.add_int(%37, %36)::Int64 %41 = Base.sub_int(%40, 1)::Int64 %42 = Base.slt_int(%32, %41)::Bool└───       goto #7 if not %42X6 ── %44 = %new(Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}, %3, %41, %37, %36, %35, %32, %31, %30)::Base.var"#133#134"{Vector{Any}, Int64, Int64, Int64, Int64, Int64, Memory{Any}, MemoryRef{Any}}└───       invoke %44()::MemoryRef{Any}7 ┄─       goto #8X8 ── %47 = Base.getfield(%3, :size)::Tuple{Int64} %48 = $(Expr(:boundscheck, true))::BoolX %49 = Base.getfield(%47, 1, %48)::Int64X %50 = Base.getfield(%3, :ref)::MemoryRef{Any}X %51 = Base.memoryrefnew(%50, %49, false)::MemoryRef{Any}X       Base.memoryrefset!(%51, %29, :not_atomic, false)::Main.SafeRef{String}└───       goto #9◌9 ── %54 = $(Expr(:boundscheck, true))::Bool└───       goto #13 if not %54◌10 ─ %56 = Base.sub_int(1, 1)::Int64 %57 = Base.bitcast(Base.UInt, %56)::UInt64X %58 = Base.getfield(%3, :size)::Tuple{Int64} %59 = $(Expr(:boundscheck, true))::BoolX %60 = Base.getfield(%58, 1, %59)::Int64 %61 = Base.bitcast(Base.UInt, %60)::UInt64 %62 = Base.ult_int(%57, %61)::Bool└───       goto #12 if not %62◌11 ─       goto #13◌12 ─ %65 = Core.tuple(1)::Tuple{Int64}       invoke Base.throw_boundserror(%3::Vector{Any}, %65::Tuple{Int64})::Union{}└───       unreachableX13 ┄ %68 = Base.getfield(%3, :ref)::MemoryRef{Any}X %69 = Base.memoryrefnew(%68, 1, false)::MemoryRef{Any}X %70 = Base.memoryrefget(%69, :not_atomic, false)::Any└───       goto #14X14 ─ %72 = Base.getfield(%3, :size)::Tuple{Int64} %73 = $(Expr(:boundscheck, true))::BoolX %74 = Base.getfield(%72, 1, %73)::Int64↑′ %75 = Core.tuple(%70, %74)::Tuple{Any, Int64}└───       return %75

In order to address these difficulties, we need inference to be aware of array dimensions and propagate array dimensions in a flow-sensitive way[ArrayDimension], as well as come up with nice representation of loop-variant values.

EscapeAnalysis at this moment quickly switches to the more imprecise analysis that doesn't track precise index information in cases when array dimensions or indices are trivially non constant. The switch can naturally be implemented as a lattice join operation ofEscapeInfo.AliasInfo property in the data-flow analysis framework.

Exception Handling

It would be also worth noting howEscapeAnalysis handles possible escapes via exceptions. Naively it seems enough to propagate escape information imposed on:the_exception object to all values that may be thrown in a correspondingtry block. But there are actually several other ways to access to the exception object in Julia, such asBase.current_exceptions andrethrow. For example, escape analysis needs to account for potential escape ofr in the example below:

julia> const GR = Ref{Any}();
julia> @noinline function rethrow_escape!() try rethrow() catch err GR[] = err end end;
julia> get′(x) = isassigned(x) ? x[] : throw(x);
julia> code_escapes() do r = Ref{String}() local t try t = get′(r) catch err t = typeof(err) # `err` (which `r` aliases to) doesn't escape here rethrow_escape!() # but `r` escapes here end return t end#19() in Main at REPL[4]:2X1 ─ %1 = %new(Base.RefValue{String})::Base.RefValue{String}2 ─ %2 = enter #8◌3 ─ %3 = Base.isdefined(%1, :x)::Bool└── goto #5 if not %3X4 ─ %5 = Base.getfield(%1, :x)::String└── goto #6◌5 ─ Main.throw(%1)::Union{}└── unreachable◌6 ─ $(Expr(:leave, :(%2)))◌7 ─ goto #98 ┄ %11 = $(Expr(:the_exception))::AnyX %12 = Main.typeof(%11)::DataType invoke Main.rethrow_escape!()::Any└── $(Expr(:pop_exception, :(%2)))::Core.Const(nothing)X9 ┄ %15 = φ (#7 => %5, #8 => %12)::Union{DataType, String}└── return %15

It requires a global analysis in order to correctly reason about all possible escapes via existing exception interfaces. For now we always propagate the topmost escape information to all potentially thrown objects conservatively, since such an additional analysis might not be worthwhile to do given that exception handling and error path usually don't need to be very performance sensitive, and also optimizations of error paths might be very ineffective anyway since they are often even "unoptimized" intentionally for latency reasons.

x::EscapeInfo'sx.ThrownEscape property records SSA statements wherex can be thrown as an exception. Using this informationEscapeAnalysis can propagate possible escapes via exceptions limitedly to only those may be thrown in eachtry region:

julia> result = code_escapes((String,String)) do s1, s2           r1 = Ref(s1)           r2 = Ref(s2)           local ret           try               s1 = get′(r1)               ret = sizeof(s1)           catch err               global GV = err # will definitely escape `r1`           end           s2 = get′(r2)       # still `r2` doesn't escape fully           return s2       end#21(X s1::String,↑ s2::String) in Main at REPL[1]:2X1 ── %1  = %new(Base.RefValue{String}, _2)::Base.RefValue{String}*′└─── %2  = %new(Base.RefValue{String}, _3)::Base.RefValue{String}*′2 ── %3  = ϒ (%2)::Base.RefValue{String}└─── %4  = enter #8◌3 ── %5  = Base.isdefined(%1, :x)::Bool└───       goto #5 if not %5X4 ──       Base.getfield(%1, :x)::String└───       goto #6◌5 ──       Main.throw(%1)::Union{}└───       unreachable◌6 ──       $(Expr(:leave, :(%4)))◌7 ──       goto #11*′8 ┄─ %13 = φᶜ (%3)::Base.RefValue{String}X└─── %14 = $(Expr(:the_exception))::Any9 ──       nothing::Nothing10 ─       (Main.GV = %14)::Any└───       $(Expr(:pop_exception, :(%4)))::Core.Const(nothing)*′11 ┄ %18 = φ (#7 => %2, #10 => %13)::Base.RefValue{String} %19 = Base.isdefined(%18, :x)::Bool└───       goto #13 if not %1912 ─ %21 = Base.getfield(%18, :x)::String└───       goto #14◌13 ─       Main.throw(%18)::Union{}└───       unreachable◌14 ─       return %21

Analysis Usage

analyze_escapes is the entry point to analyze escape information of SSA-IR elements.

Most optimizations like SROA (sroa_pass!) are more effective when applied to an optimized source that the inlining pass (ssa_inlining_pass!) has simplified by resolving inter-procedural calls and expanding callee sources. Accordingly,analyze_escapes is also able to analyze post-inlining IR and collect escape information that is useful for certain memory-related optimizations.

However, since certain optimization passes like inlining can change control flows and eliminate dead code, they can break the inter-procedural validity of escape information. In particularity, in order to collect inter-procedurally valid escape information, we need to analyze a pre-inlining IR.

Because of this reason,analyze_escapes can analyzeIRCode at any Julia-level optimization stage, and especially, it is supposed to be used at the following two stages:

Escape information derived byIPO EA is transformed to theArgEscapeCache data structure and cached globally. By passing an appropriateget_escape_cache callback toanalyze_escapes, the escape analysis can improve analysis accuracy by utilizing cached inter-procedural information of non-inlined callees that has been derived by previousIPO EA. More interestingly, it is also valid to useIPO EA escape information for type inference, e.g., inference accuracy can be improved by formingConst/PartialStruct/MustAlias of mutable object.

Core.Compiler.EscapeAnalysis.analyze_escapesFunction
analyze_escapes(ir::IRCode, nargs::Int, get_escape_cache) -> estate::EscapeState

Analyzes escape information inir:

  • nargs: the number of actual arguments of the analyzed call
  • get_escape_cache(::MethodInstance) -> Union{Bool,ArgEscapeCache}: retrieves cached argument escape information
source
Core.Compiler.EscapeAnalysis.EscapeStateType
estate::EscapeState

Extended lattice that maps arguments and SSA values to escape information represented asEscapeInfo. Escape information imposed on SSA IR elementx can be retrieved byestate[x].

source
Core.Compiler.EscapeAnalysis.EscapeInfoType
x::EscapeInfo

A lattice for escape information, which holds the following properties:

  • x.Analyzed::Bool: not formally part of the lattice, only indicates whetherx has been analyzed
  • x.ReturnEscape::Bool: indicatesx can escape to the caller via return
  • x.ThrownEscape::BitSet: records SSA statement numbers wherex can be thrown as exception:
    • isempty(x.ThrownEscape):x will never be thrown in this call frame (the bottom)
    • pc ∈ x.ThrownEscape:x may be thrown at the SSA statement atpc
    • -1 ∈ x.ThrownEscape:x may be thrown at arbitrary points of this call frame (the top)
    This information will be used byescape_exception! to propagate potential escapes via exception.
  • x.AliasInfo::Union{Bool,IndexableFields,IndexableElements,Unindexable}: maintains all possible values that can be aliased to fields or array elements ofx:
    • x.AliasInfo === false indicates the fields/elements ofx aren't analyzed yet
    • x.AliasInfo === true indicates the fields/elements ofx can't be analyzed, e.g. the type ofx is not known or is not concrete and thus its fields/elements can't be known precisely
    • x.AliasInfo::IndexableFields records all the possible values that can be aliased to fields of objectx with precise index information
    • x.AliasInfo::IndexableElements records all the possible values that can be aliased to elements of arrayx with precise index information
    • x.AliasInfo::Unindexable records all the possible values that can be aliased to fields/elements ofx without precise index information
  • x.Liveness::BitSet: records SSA statement numbers wherex should be live, e.g. to be used as a call argument, to be returned to a caller, or preserved for:foreigncall:
    • isempty(x.Liveness):x is never be used in this call frame (the bottom)
    • 0 ∈ x.Liveness also has the special meaning that it's a call argument of the currently analyzed call frame (and thus it's visible from the caller immediately).
    • pc ∈ x.Liveness:x may be used at the SSA statement atpc
    • -1 ∈ x.Liveness:x may be used at arbitrary points of this call frame (the top)

There are utility constructors to create commonEscapeInfos, e.g.,

  • NoEscape(): the bottom(-like) element of this lattice, meaning it won't escape to anywhere
  • AllEscape(): the topmost element of this lattice, meaning it will escape to everywhere

analyze_escapes will transition these elements from the bottom to the top, in the same direction as Julia's native type inference routine. An abstract state will be initialized with the bottom(-like) elements:

  • the call arguments are initialized asArgEscape(), whoseLiveness property includes0 to indicate that it is passed as a call argument and visible from a caller immediately
  • the other states are initialized asNotAnalyzed(), which is a special lattice element that is slightly lower thanNoEscape, but at the same time doesn't represent any meaning other than it's not analyzed yet (thus it's not formally part of the lattice)
source

  • LatticeDesignOur type inference implementation takes the alternative approach, where each lattice property is represented by a special lattice element type object. It turns out that it started to complicate implementations of the lattice operations mainly because it often requires conversion rules between each lattice element type object. And we are working onoverhauling our type inference lattice implementation withEscapeInfo-like lattice design.
  • MM02A Graph-Free approach to Data-Flow Analysis. Markas Mohnen, 2002, April.https://api.semanticscholar.org/CorpusID:28519618.
  • BackandForthOur type inference algorithm in contrast is implemented as a forward analysis, because type information usually flows from "definition" to "usage" and it is more natural and effective to propagate such information in a forward way.
  • DynamismIn some cases, however, object fields can't be analyzed precisely. For example, object may escape to somewhereEscapeAnalysis can't account for possible memory effects on it, or fields of the objects simply can't be known because of the lack of type information. In such casesAliasInfo property is raised to the topmost element within its own lattice order, and it causes succeeding field analysis to be conservative and escape information imposed on fields of an unanalyzable object to be propagated to the object itself.
  • JVM05Escape Analysis in the Context of Dynamic Compilation and Deoptimization. Thomas Kotzmann and Hanspeter Mössenböck, 2005, June.https://dl.acm.org/doi/10.1145/1064979.1064996.
  • ArrayDimensionOtherwise we will need yet another forward data-flow analysis on top of the escape analysis.

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This document was generated withDocumenter.jl version 1.8.0 onWednesday 9 July 2025. Using Julia version 1.11.6.


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