Allows WTF to work (mostly) with Wine by letting us VirtualName things,
and also allows madvise control of THP, which significantly cuts back
memory usage.
This works around the problem of Wine not giving us control of this by
using raw syscalls when wine is detected.
Based on top of #5362 so the THP disable controls are in.
Disables THP on some key locations that are fairly sparse
- rpmalloc
- This is the big one as this allocates some heavy sparse buffers.
- CallRet stacks
- These get in the hundreds of megabytes, while not being sparse they
trend towards only using a handful of pages and ballooning to 2MB
per thread is quite heavy.
- Lookup cache
- L1 specifically gets hit here which adds a decent chunk of overhead
due to sparsity.
Win32 for all of these also aren't handled, but that will need to be a
followup.
Shared code buffer support introduced the concept of having a single
GuestToHostMaps shared across many threads. In the common case all
threads will share one however if e.g. a resize recently occured and
specific thread is yet to compile any code with the new codebuffer it
will still use the old GuestToHostMap. The current invalidation
approach handles this by repeatedly calling erase for every single
thread's GuestToHostMap, even if it is repeated. An accumulator is used
to ensure when two threads share a map, the L1/L2 cache entries in the
second thread will still be invalidated even if the the iteration for
the first thread removed them from the map.
Unfortunately this is incredibly slow in cases with many threads, as
a significant number of redundant map lookups and L1/L2 cache erasures
on threads that never even observed a given block can occur. Solve this
by introducing a two-pass model:
- First, all active codebuffers (and their associated GuestToHostMaps)
have their entries invalidated for the given range, these codebuffers
are tracked internally within FEXCore. It is at this point that delinking
callbacks are ran.
- Second, each thread will have its caches invalidated. But rather than
naively invalidating the L1/L2 caches for every invalidated block for
every thread, threads now track on their own what specific entries
have been potentially fetched into their L1/L2 caches. This is
aided by GuestToHostMap now tracking the pages each block touches. (an
inverse CodePages so to speak).
L1 cache residency can get quite large. Solution, start out small and
scale quickly on L1 cache misses but L2/L3 cache hits.
Some stats on L1 cache residency change:
- Teardown: 40MB -> 16MB (40%)
- Ender Lilies: 79MB -> 32MB (40.5%)
- Death Stranding: 186MB -> 93MB (50%)
- Steam: 75MB -> 7MB (9.3%)
The cost of this option is effectively free in our JIT. It changes a
single LDR to be a single LDP, which on Cortex CPUs cost the same. We do
this by moving the L1 pointer mask in to the CPUState object, making it
dynamic so it lives next to the L1 pointer. We then use that directly
rather than having the hardcoded value.
The lookup cache does a little bit of additional tracking and heuristics
to determine when the current L1 cache should increase or decrease in
size. From 128KB to 16MB per thread, allocating the full VA range as
previously.
Once the heuristic determines that L1 should be increased, it simply
changes the max and the L1 pointer size to compensate, the kernel will
fault in whichever pages are necessary.
Decreasing the size is a little bit more complex, as we want to madvise
the resulting L1 range to ensure we don't have that memory as resident
anymore. Same heuristic but going in the opposite direction otherwise.
Tends to be the case that L1 cache increases a bit on loading screens
then backs down once in-game.
These heuristic values are exposed for increasing and decreasing because
while I think I've picked reasonable values, we will likely need some
more fine tuning over time. Kind of expert user toggles at that point.
Based on #4940 as a base which needs to be merged first.
Full tracked stats from steam as an example of where we are:
```
Total (1000 millisecond sample period):
JIT Time: 0.486630 ms/second (0.00 percent)
Signal Time: 0.065880 ms/second (0.00 percent)
SIGBUS Cnt: 38 (38.160780 per second)
SMC Cnt: 0
Softfloat Cnt: 0
FEX JIT Load: 0.004585 (cycles: 552510)
Total FEX Anon memory resident: 368 mB
JIT resident: 95 mB
OpDispatcher resident: 38 mB
Frontend resident: 8 mB
CPUBackend resident: 624 kB
Lookup cache resident: 0 (null)
Lookup L1 cache resident: 7 mB
ThreadStates resident: 460 kB
Unaccounted resident: 217 mB
```
Every time I see this recursive mutex I glare at it. Remove the last one
so that we no longer need to deal with it.
The only reason why this recursive mutex still existed today was because
it is fairly intertwined with the ContextImpl and tracing it all was a
pain.
Peel back the layers and follow the idiom to have ContextImpl pull the
write mutex when requiredand pass it through by reference to ensure it stays alive.
This allows us to entirely give rid of the recursive nature of the
mutex, which means that `FindBlock` can eventually be switched over to a
read-lock to improve multiple threads reading the caches at the same
time.
I didn't do that exercise since that can be followed up in a subsequent
PR.
This is changes the interface of CodeBuffer to that of a partially persistent
data structure based on reference counting:
- Exactly one CodeBuffer is now designated as "active", which means data can
be *appended* to it
- Lossy modifications to the active CodeBuffer will not invalidate any data
in use by other threads, which enables save sharing across threads
- Instead, such lossy modifications trigger a new "version" of the data in
the modifying thread. Old versions of the CodeBuffer persist as read-only
data for use by the other threads.
- The other threads can update their version of the CodeBuffer. This will
decrease the reference count and eventually trigger deallocation of the
old version
This data isn't really a cache, since the JIT is directly responsible of
writing its contents. Instead it be considered the source to populate the
L1/L2 caches from.
Furthermore, splitting off this data allows it to be shared across threads
in the future without affecting L1/L2 caches.
It is not an external component, and it makes paths needlessly long.
Ryan seemed amenable to this when we discussed on IRC earlier.
Signed-off-by: Alyssa Rosenzweig <alyssa@rosenzweig.io>
Tony Wasserka