Many of our tinderbox failures result from architecture-specific
shortcomings in our current root set scanning code. The whole
stackwalk/register scan is also rather slow, as Peter Gibbs showed a
few decades back. (Okay, so it was probably only about a year ago.) In
pondering the problem, I found myself reinventing several solutions
that have already been proposed, and in many cases implemented, by
other people. So I decided to summarize the various approaches in
hopes that something will jump out at someone. I would be grateful if
interested people could check this over and

  (1) tell me what I have wrong or am overlooking (especially with
      respect to longjmp() -- I have the feeling that it's a bigger
      problem than I realize),

  (2) point out what's wrong with my "variant 5: generational
      stack",

   and/or

  (3) propose something else that solves the whole problem neatly.
=head1 TITLE

Infant Mortality

=head1 Overview

We have a garbage collector that needs to detect all dead objects (the
process is called DOD, for Dead Object Detection). Any Parrot
operation that might allocate memory can potentially trigger a DOD run
(if not enough memory is available, we need to free up some unused
objects to give us enough room to allocate our new object. But in
order to know what can be freed up, we need to know what's alive, so
we do a DOD pass.)

The DOD pass begins with a "root set" of objects that are known to be
in use -- the PMC and String registers, the Parrot stack, the global
symbol table, etc. Each of these objects is scanned for references to
other objects, recursively. All objects found during this search are
regarded as live. Everything else is considered dead and so is
available for reclamation.

The question of what should be in the root set is problematic.
Consider the case where you've created a PMC. If you immediately stuff
it into a register, then you're all set. But what if you're putting it
into an aggregate? If the aggregate isn't large enough, you'll need to
resize it, which might allocate memory, which might trigger a DOD run.
And that DOD run may free your freshly-created PMC.

In this case, the solution is simple: resize the array, if necessary,
before creating the PMC. But many situations are not so simple, and
the set of operations which could conceivably require more memory is
vast. This problem is referred to as the "infant mortality" problem.

Peter Gibbs, Mike Lambert, Dan Sugalski, and others have considered
various solutions to this problem. Most of those solutions have been
implemented in some form or other. This document is my attempt to
compare and contrast all such proposals.

=head1 Solution 1: Stack Walking

One possible solution is to add the C stack into the root set. This
way, temporary PMCs that have not yet been anchored to the root set
will be found on the stack and treated as live. Actually, the C stack
is insufficient -- you must also scan through all processor registers,
and for some processors there may be a separate backing store for
those registers (eg the Sparc's register windows).

 + No slowdown in the common case of no DOD
 + Convenient: the programmer does not need to code differently to
   accommodate the garbage collection system.
 - Unportable. Different processors need different code for scanning
   their registers, stacks, register windows, etc. Also, on some
   architectures you must scan every possible offset into the stack to
   find all the pointers, while on others you must NOT scan every
   possible offset or you'll get a bus error due to a misaligned
   access.
 - Slow DOD. A full stack walk takes quite a while, and this time
   grows with nested interpreter calls, external code's stack usage, etc.
 - Complex. The stack walk is necessarily conservative, in that it
   must consider every valid pointer on the stack to potentially be a
   traceable object. But some of those pointers may be stale, in which
   case the memory they point to may have been partially reused for
   some other purpose. Everything must operate within certain
   constraints that guarantee that no invalid pointers will be
   dereferenced and trigger a segmentation fault or bus error.
 - Another side effect of the conservative nature of stack walking is
   that the memory for these objects may never be returned to the
   system, because it is always possible that there will be a stale
   pointer lying around on the stack or in a register, and all such
   pointers will be dereferenced.

=head1 Solution 2: Neonate flag

There are several possible variants of the neonate flag, but the basic
idea is to set a flag on newly created objects that prevents them from
being collected. At some point, this flag is cleared -- either as the
newborn object is anchored to the root set, or during the first DOD
pass after it was anchored, or explicitly when the object is no longer
needed.

 + Portable
 + Can return memory to the system when unneeded
 + Exact: the state of every object is always known precisely (no more
   "this object MIGHT still be reachable")
 - The coder must remember to clear the flag before discarding
   unanchored objects
 - The flag-clearing takes a small amount of time
 - For some variants of this scheme, some time is consumed to clear
   the flag for the common case of rooted objects

=head2 Subspecies of neonate flags

The variants of the neonate idea all hinge on exactly how and when the
flag is cleared.

=head2 Variant 1: explicit

The flag is always explicitly cleared by the coder.

 + Very simple
 + Fast DOD
 - Slow for unanchored temporaries
 - Slow for anchored objects
 - Easy to forget to clear the flag for unanchored temporaries
 - Easy to forget to clear the flag for anchored objects
 - longjmp() can bypass the clearing

=head2 Variant 2: explicit for temporaries, cleared during anchoring

The flag is explicitly set for temporaries. All routines which anchor
an object to the root set also clear the flag.

 + Simple
 + Fast DOD
 - Slow for unanchored temporaries
 - Slow for anchored objects
 - Easy to forget to clear the flag for unanchored temporaries
 - Forces all anchoring operations to set the flag (so this disallows
   direct assignment into a PMC register, for example)
 - longjmp() can bypass the clearing

=head2 Variant 3: clear during DOD

The neonate flag is cleared during DOD when an object is encountered
during the recursive root set traversal. (Leopold Toetsch's trick of
setting the live_FLAG during creation is equivalent to this variation,
I think.)

 + Simple
 + Fast DOD (DOD already manipulates the flags)
 - If there are multiple DOD runs before the object is anchored or
   dies, it will be prematurely freed

=head2 Variant 4: generation count

This is the same as variant 3, except a "generation count" is
maintained in the interpreter so that the neonate flag is only cleared
during a later generation. The generation is incremented only at major
control points such between opcodes, so that there is no chance of
unanchored temporaries.

 + Fast DOD (DOD already manipulates the flags)
 - Generation count must be maintained
 - Disallows recursive opcode calls (necessary for eg implementing
   vtable methods in pasm)
 - Can temporarily use more memory (dead objects accumulate during the
   current generation)

In order to allow recursive opcode calls, we could increment the
generation count in more places and make sure nothing is left
unanchored at those points, but that would gradually remove all
advantages of this scheme and make it more difficult to call existing
vtable methods (since you never know when they might start running
pasm code.)

=head2 Variant 5: generation stack

Notice that when using a generational count, you really only need to
test whether the current generation is _different_ from an object's
creation generation (which eliminates wraparound problems, too.) So
rather than testing against a single "current" generation, allow a
stack of multiple "current" generations. An object encountered during
DOD will have its neonate flag cleared only if it doesn't match any of
the "current" generation ids. This check can be optimized using a
conservative bit mask as a preliminary test.

 + Still faster DOD than stackwalking, though slower than the
   other neonate variants
 - Generation count must be maintained
 - Generation stack must be maintained
 - Disallows longjmp()'ing out of recursive opcode calls
 - Can temporarily use more memory (dead objects accumulate during all
   current generations)

=head1 Solution 3: Explicity root set augmentation

A final possible solution is to provide a mechanism to temporarily
anchor an otherwise unanchored object to the root set. (eg, have an
array of objects associated with the interpreter that are all
considered to be part of the root set.) This has pretty much the same
advantages and disadvantages of explicit neonate flag setting:

 + Simple
 + Fast DOD
 - Slow for unanchored temporaries
 - Sometimes slow for anchored objects (depending on whether they need
   to be temporarily anchored before the final anchoring)
 - Easy to forget to remove temporaries from the root set
 - Easy to double-anchor objects and forget to remove the temporary
   anchoring
 - longjmp() can bypass the unanchoring

Many of the same or similar variations also apply: objects could be
automatically removed from the temporary anchoring at generation
boundaries, etc.

=head1 REFERENCES

=over 4

=item What is neonate?

http://groups.google.com/groups?th=468fc4aebca262f7

Brent Dax's better description of the problem than I have here

=item Mike Lambert proposing Variant 1

http://groups.google.com/groups?th=b2c1aebf64d6ed9a

This also has some macro-heavy proposals that I ignored.

=item Leopold Toetsch proposing Variant 3

http://groups.google.com/groups?th=dc51f11f441bc7d0

Also includes Steve Fink proposing Variant 1

=item Dan Sugalski proposing Variant 3

http://groups.google.com/groups?th=da3012ceb99bab3c

=item Peter Gibbs implementing Variant 4 and getting shot down

http://groups.google.com/groups?th=d2cd475367fc81aa

=item Infant mortality pain

http://groups.google.com/groups?th=ad045a1baeba0c9a

This is a good thread for illustrating the pain that infant mortality
causes -- in the context of Parrot, I mean.

=item Numbers!

http://groups.google.com/groups?th=d7cd4ca31dcb4414

Gives some benchmark numbers for different approaches.

=item Generational stuff

http://groups.google.com/groups?th=808f38c656a49806

Early discussion that has some stuff I didn't go over here. Mostly
involves generational schemes.

=back

=head1 CHANGES

2002-Dec-30: Initial Version by Steve Fink

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