Implement multi-memory for classic-interpreter. Support core spec (and bulk memory) opcodes now,
and will support atomic opcodes, and add multi-memory export APIs in the future.
PS: Multi-memory spec test patched a lot for linking test to adapt for multi-module implementation.
Support getting global type from `wasm_runtime_get_import_type` and
`wasm_runtime_get_export_type`, and add two APIs:
```C
wasm_valkind_t
wasm_global_type_get_valkind(const wasm_global_type_t global_type);
bool
wasm_global_type_get_mutable(const wasm_global_type_t global_type);
```
Fix the warnings and issues reported:
- in Windows platform
- by CodeQL static code analyzing
- by Coverity static code analyzing
And update CodeQL script to build exception handling and memory features.
Implement the GC (Garbage Collection) feature for interpreter mode,
AOT mode and LLVM-JIT mode, and support most features of the latest
spec proposal, and also enable the stringref feature.
Use `cmake -DWAMR_BUILD_GC=1/0` to enable/disable the feature,
and `wamrc --enable-gc` to generate the AOT file with GC supported.
And update the AOT file version from 2 to 3 since there are many AOT
ABI breaks, including the changes of AOT file format, the changes of
AOT module/memory instance layouts, the AOT runtime APIs for the
AOT code to invoke and so on.
Enhance the statistic of wasm function execution time, or the performance
profiling feature:
- Add os_time_thread_cputime_us() to get the cputime of a thread,
and use it to calculate the execution time of a wasm function
- Support the statistic of the children execution time of a function,
and dump it in wasm_runtime_dump_perf_profiling
- Expose two APIs:
wasm_runtime_sum_wasm_exec_time
wasm_runtime_get_wasm_func_exec_time
And rename os_time_get_boot_microsecond to os_time_get_boot_us.
For shared memory, runtime should get the memories pointer from
module_inst first, then get memory instance from memories array,
and then get the fields of the memory instance.
Currently, `data.drop` instruction is implemented by directly modifying the
underlying module. It breaks use cases where you have multiple instances
sharing a single loaded module. `elem.drop` has the same problem too.
This PR fixes the issue by keeping track of which data/elem segments have
been dropped by using bitmaps for each module instances separately, and
add a sample to demonstrate the issue and make the CI run it.
Also add a missing check of dropped elements to the fast-jit `table.init`.
Fixes: https://github.com/bytecodealliance/wasm-micro-runtime/issues/2735
Fixes: https://github.com/bytecodealliance/wasm-micro-runtime/issues/2772
`jit_reg_is_const_val` only checks whether the register is a const register and
the const value is stored in the register.
Should use `jit_reg_is_const` instead in the front end.
Reported in #2710.
- Translate all the opcodes of threads spec proposal for Fast JIT
- Add the atomic flag for Fast JIT load/store IRs to support atomic load/store
- Add new atomic related Fast JIT IRs and translate them in the codegen
- Add suspend_flags check in branch opcodes and before/after call function
- Modify CI to enable Fast JIT multi-threading test
Co-authored-by: TianlongLiang <tianlong.liang@intel.com>
Implement 2-level Multi-tier JIT engine: tier-up from Fast JIT to LLVM JIT to
get quick cold startup by Fast JIT and better performance by gradually
switching to LLVM JIT when the LLVM JIT functions are compiled by the
backend threads.
Refer to:
https://github.com/bytecodealliance/wasm-micro-runtime/issues/1302
Some offsets can be directly gotten at the compilation stage after the interp/AOT
module instance refactoring PR was merged, so as to reduce some unnecessary
load instructions and improve the Fast JIT performance:
- Access fields of wasm memory instance structure
- Access fields of wasm table instance structure
- Access the global data
Translate call_indirect opcode by calling wasm functions with Fast JIT IRs instead of
calling jit_call_indirect runtime API, so as to improve the performance.
Translate call native function process with Fast JIT IRs to validate each pointer argument
and convert it into native address, and then call the native function directly instead
of calling jit_invoke_native runtime API, so as to improve the performance.
Refactor the layout of interpreter and AOT module instance:
- Unify the interp/AOT module instance, use the same WASMModuleInstance/
WASMMemoryInstance/WASMTableInstance data structures for both interpreter
and AOT
- Make the offset of most fields the same in module instance for both interpreter
and AOT, append memory instance structure, global data and table instances to
the end of module instance for interpreter mode (like AOT mode)
- For extra fields in WASM module instance, use WASMModuleInstanceExtra to
create a field `e` for interpreter
- Change the LLVM JIT module instance creating process, LLVM JIT uses the WASM
module and module instance same as interpreter/Fast-JIT mode. So that Fast JIT
and LLVM JIT can access the same data structures, and make it possible to
implement the Multi-tier JIT (tier-up from Fast JIT to LLVM JIT) in the future
- Unify some APIs: merge some APIs for module instance and memory instance's
related operations (only implement one copy)
Note that the AOT ABI is same, the AOT file format, AOT relocation types, how AOT
code accesses the AOT module instance and so on are kept unchanged.
Refer to:
https://github.com/bytecodealliance/wasm-micro-runtime/issues/1384
Import WAMR Fast JIT which is a lightweight JIT with quick startup, small footprint,
relatively good performance (~40% to ~50% of LLVM JIT) and good portability.
Platforms supported: Linux, MacOS and Linux SGX.
Arch supported: x86-64.
