This simplifies the calling convention and consolidates the call frame stack
and value stack into a single stack.
As a result, the cost of function calls decreases because we now don't need
to check the boundary twice (value and call frame stacks) at each function call.
The following is the result of the benchmark for recursive Fibonacci
function in integration_test/bench/testdata/case.go, and it shows that
this actually improves the performance of function calls.
[amd64]
name old time/op new time/op delta
Invocation/compiler/fib_for_5-32 109ns ± 3% 81ns ± 1% -25.86% (p=0.008 n=5+5)
Invocation/compiler/fib_for_10-32 556ns ± 3% 473ns ± 3% -14.99% (p=0.008 n=5+5)
Invocation/compiler/fib_for_20-32 61.4µs ± 2% 55.9µs ± 5% -8.98% (p=0.008 n=5+5)
Invocation/compiler/fib_for_30-32 7.41ms ± 3% 6.83ms ± 3% -7.90% (p=0.008 n=5+5)
[arm64]
name old time/op new time/op delta
Invocation/compiler/fib_for_5-10 67.7ns ± 1% 60.2ns ± 1% -11.12% (p=0.000 n=9+9)
Invocation/compiler/fib_for_10-10 487ns ± 1% 460ns ± 0% -5.56% (p=0.000 n=10+9)
Invocation/compiler/fib_for_20-10 58.0µs ± 1% 54.3µs ± 1% -6.38% (p=0.000 n=10+10)
Invocation/compiler/fib_for_30-10 7.12ms ± 1% 6.67ms ± 1% -6.31% (p=0.000 n=10+9)
Signed-off-by: Takeshi Yoneda <takeshi@tetrate.io>
This removes the embedding of pointers of jump tables (uintptr of []byte)
used by BrTable operations. That is the last usage of unsafe.Pointer in
compiler implementations.
Alternatively, we treat jump tables as asm.StaticConst and emit them
into the constPool already implemented and used by various places.
Notably, now the native code compiled by compilers can be reusable
across multiple processes, meaning that they are independent of
any runtime pointers.
Signed-off-by: Takeshi Yoneda <takeshi@tetrate.io>
This implements various SIMD instructions related to
load, store, and lane manipulations for all engines.
Notablely, now our engines pass the following specification tests:
* simd_address.wast
* simd_const.wast
* simd_align.wast
* simd_laod16_lane.wast
* simd_laod32_lane.wast
* simd_laod64_lane.wast
* simd_laod8_lane.wast
* simd_lane.wast
* simd_load_extend.wast
* simd_load_splat.wast
* simd_load_zero.wast
* simd_store.wast
* simd_store16_lane.wast
* simd_store32_lane.wast
* simd_store64_lane.wast
* simd_store8_lane.wast
part of #484
Signed-off-by: Takeshi Yoneda <takeshi@tetrate.io>
Co-authored-by: Adrian Cole <adrian@tetrate.io>
