[Mlir-commits] [mlir] [mlir][gpu] Introduce `gpu.dynamic_shared_memory` Op (PR #71546)

Fabian Mora llvmlistbot at llvm.org
Fri Nov 10 05:29:18 PST 2023


================
@@ -554,6 +555,95 @@ static IntegerAttr wrapNumericMemorySpace(MLIRContext *ctx, unsigned space) {
   return IntegerAttr::get(IntegerType::get(ctx, 64), space);
 }
 
+/// Generates a symbol with 0-sized array type for dynamic shared memory usage,
+/// or uses existing symbol.
+LLVM::GlobalOp
+getDynamicSharedMemorySymbol(ConversionPatternRewriter &rewriter,
+                             gpu::DynamicSharedMemoryOp op,
+                             const LLVMTypeConverter *typeConverter,
+                             MemRefType memrefType, unsigned alignmentBit) {
+  std::optional<LLVM::GlobalOp> existingGlobalOp;
+
+  LLVM::LLVMFuncOp funcOp = op->getParentOfType<LLVM::LLVMFuncOp>();
+  assert(funcOp && "cannot find llvm.func op");
+
+  gpu::GPUModuleOp moduleOp = funcOp->getParentOfType<gpu::GPUModuleOp>();
+  assert(moduleOp && "cannot find gpu.module op");
+
+  // Use already generated global op if it exists
+  int index = 0;
+  std::string prefix = llvm::formatv("__shmem_{0}", funcOp.getSymName());
+  moduleOp->walk([&](LLVM::GlobalOp globalOp) {
+    if (auto arrayType = dyn_cast<LLVM::LLVMArrayType>(globalOp.getType())) {
+      if (arrayType.getNumElements() == 0) {
+        existingGlobalOp = globalOp;
+        return WalkResult::interrupt();
+      }
+    }
+    if (globalOp.getSymName().startswith(prefix))
+      index++;
----------------
fabianmcg wrote:

> As an alternative - I can generate a `LLVM::GlobalOp` using SymbolTable in the Pass. Then, use it in the pattern. This way guarantees

We are already creating a symbol table in the [passs](https://github.com/llvm/llvm-project/blob/main/mlir/lib/Conversion/GPUCommon/GPUToLLVMConversion.cpp#L590). So there's no new overhead, besides maybe inserting a global, this would also make the DynamicShared pattern more efficient as the patter knows what symbol to use from the start.





https://github.com/llvm/llvm-project/pull/71546


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