================
@@ -642,26 +652,86 @@ ModuleSP DynamicLoaderDarwin::GetDYLDModule() {
void DynamicLoaderDarwin::ClearDYLDModule() { m_dyld_module_wp.reset(); }
+template <typename InputIterator, typename ResultType>
+static std::vector<ResultType> parallel_map(
+ llvm::ThreadPoolInterface &threadPool, InputIterator first,
+ InputIterator last,
+ llvm::function_ref<ResultType(
+ const typename std::iterator_traits<InputIterator>::value_type &)>
+ transform) {
+ const auto size = std::distance(first, last);
+ std::vector<ResultType> results(size);
+ if (size > 0) {
+ llvm::ThreadPoolTaskGroup taskGroup(threadPool);
+ auto it = first;
+ for (ssize_t i = 0; i < size; ++i, ++it) {
+ taskGroup.async([&, i, it]() { results[i] = transform(*it); });
+ }
+ taskGroup.wait();
+ }
+ return results;
+}
----------------
JDevlieghere wrote:
Do we really need these `map` helpers? I would imagine you could achieve the
same thing with something like this:
```
TaskGroup task_group(...);
for (...)
if (is_parallel)
task_group.async(lambda, args);
else
lambda(args);
task_group.wait();
```
https://github.com/llvm/llvm-project/pull/110646
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