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make it work with C++; documentation updated
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@@ -94,11 +94,21 @@ proc defaultOp(c: var TLiftCtx; t: PType; body, x, y: PNode) =
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body.add genBuiltin(c, mWasMoved, "wasMoved", x)
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proc genAddr(c: var TLiftCtx; x: PNode): PNode =
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if x.kind == nkHiddenDeref:
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# These synthesized addresses are always passed to codegen procs that expect a
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# genuine pointer (nimAsgnYrc, nimSinkYrc, destructors, ...). `addr(deref x)`
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# collapses to `x` only when `x` is a real pointer; on the C++ backend a `var`
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# parameter is a C++ reference, so we must keep the `nkHiddenAddr` to actually
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# take its address (`&dest`) instead of passing the reference's value. Likewise
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# `tfVarIsPtr` keeps the C++ backend from lowering the synthesized address back
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# to a reference and dropping the `&` (e.g. a closure's `tyPointer` env). See
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# #26026 CI (yrc + cpp).
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if x.kind == nkHiddenDeref and c.g.config.backend != backendCpp:
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checkSonsLen(x, 1, c.g.config)
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result = x[0]
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else:
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result = newNodeIT(nkHiddenAddr, x.info, makeVarType(x.typ.owner, x.typ, c.idgen))
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let addrTyp = makeVarType(x.typ.owner, x.typ, c.idgen)
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addrTyp.incl tfVarIsPtr
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result = newNodeIT(nkHiddenAddr, x.info, addrTyp)
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result.add x
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proc genWhileLoop(c: var TLiftCtx; i, dest: PNode): PNode =
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19
doc/mm.md
19
doc/mm.md
@@ -50,9 +50,23 @@ cycle collector's overhead
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but `--mm:orc` also produces more machine code than `--mm:arc`, so if you're on a target
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where code size matters and you know that your code does not produce cycles, you can
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use `--mm:arc`. Notice that the default `async`:idx: implementation produces cycles
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and leaks memory with `--mm:arc`, in other words, for `async` you need to use `--mm:orc`.
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and leaks memory with `--mm:arc`, in other words, for `async` you need to use `--mm:orc`
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or `--mm:yrc`.
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Atomic ARC/YRC
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--------------
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ARC/ORC are not threadsafe if `ref` or other automatically managed types are
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accessed across thread boundaries.
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Moving isolated subgraphs between threads is supported for ARC/ORC and the language has support
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for that in the form of `isolate`. The modes `mm:atomicArc` and `mm:yrc` do offer this thread safety -- at the cost of atomic instructions. Whether that cost is acceptable depends on your program, it hard to give general guidelines. On a modern CPU the potential speedups in the form of increased multi-threading capabilities should outweigh the costs of atomic instructions by far. On an embedded device the atomics would probably only hurt though.
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`mm:atomicArc` is a threadsafe variant of ARC: All the optimizations in the form of move semantics etc are still applied. `mm:yrc` is the threadsafe variant of ORC.
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YRC is a novel concurrent cycle collection algorithm -- these are beasts to verify
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and to get correct so there are dragons lurking here, use at your own risk.
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Other MM modes
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--------------
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@@ -66,7 +80,7 @@ Other MM modes
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Heaps are thread-local.
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--mm:boehm Boehm based garbage collector, it offers a shared heap.
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--mm:go Go's garbage collector, useful for interoperability with Go.
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Offers a shared heap.
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Offers a shared heap. Note that `mm:go` has seen little real world use. Use at your own risk.
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--mm:none No memory management strategy nor a garbage collector. Allocated memory is
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simply never freed. You should use `--mm:arc` instead.
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@@ -76,6 +90,7 @@ Here is a comparison of the different memory management modes:
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================== ======== ================= ============== ====== =================== ===================
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Memory Management Heap Reference Cycles Stop-The-World Atomic Valgrind compatible Command line switch
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================== ======== ================= ============== ====== =================== ===================
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YRC Shared Cycle Collector No Yes Yes `--mm:yrc`
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ORC Shared Cycle Collector No No Yes `--mm:orc`
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ARC Shared Leak No No Yes `--mm:arc`
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Atomic ARC Shared Leak No Yes Yes `--mm:atomicArc`
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