diff --git a/mlir/lib/Conversion/GPUCommon/OpToFuncCallLowering.h b/mlir/lib/Conversion/GPUCommon/OpToFuncCallLowering.h
index 46fd182346b3b..9f7ceb11752ba 100644
--- a/mlir/lib/Conversion/GPUCommon/OpToFuncCallLowering.h
+++ b/mlir/lib/Conversion/GPUCommon/OpToFuncCallLowering.h
@@ -16,10 +16,16 @@
 
 namespace mlir {
 
-/// Rewriting that replace SourceOp with a CallOp to `f32Func` or `f64Func` or
-/// `f32ApproxFunc` or `f16Func` depending on the element type and the
-/// fastMathFlag of that Op. The function declaration is added in case it was
-/// not added before.
+namespace {
+/// Detection trait tor the `getFastmath` instance method.
+template <typename T>
+using has_get_fastmath_t = decltype(std::declval<T>().getFastmath());
+} // namespace
+
+/// Rewriting that replaces SourceOp with a CallOp to `f32Func` or `f64Func` or
+/// `f32ApproxFunc` or `f16Func` or `i32Type` depending on the element type and
+/// the fastMathFlag of that Op, if present. The function declaration is added
+/// in case it was not added before.
 ///
 /// If the input values are of bf16 type (or f16 type if f16Func is empty), the
 /// value is first casted to f32, the function called and then the result casted
@@ -39,14 +45,22 @@ namespace mlir {
 ///
 /// will be transformed into
 ///   llvm.call @__nv_fast_expf(%arg_f32) : (f32) -> f32
+///
+/// Final example with NVVM:
+///   %pow_f32 = math.fpowi %arg_f32, %arg_i32
+///
+/// will be transformed into
+///   llvm.call @__nv_powif(%arg_f32, %arg_i32) : (f32, i32) -> f32
 template <typename SourceOp>
 struct OpToFuncCallLowering : public ConvertOpToLLVMPattern<SourceOp> {
 public:
   explicit OpToFuncCallLowering(const LLVMTypeConverter &lowering,
                                 StringRef f32Func, StringRef f64Func,
-                                StringRef f32ApproxFunc, StringRef f16Func)
+                                StringRef f32ApproxFunc, StringRef f16Func,
+                                StringRef i32Func = "")
       : ConvertOpToLLVMPattern<SourceOp>(lowering), f32Func(f32Func),
-        f64Func(f64Func), f32ApproxFunc(f32ApproxFunc), f16Func(f16Func) {}
+        f64Func(f64Func), f32ApproxFunc(f32ApproxFunc), f16Func(f16Func),
+        i32Func(i32Func) {}
 
   LogicalResult
   matchAndRewrite(SourceOp op, typename SourceOp::Adaptor adaptor,
@@ -76,9 +90,8 @@ struct OpToFuncCallLowering : public ConvertOpToLLVMPattern<SourceOp> {
 
     Type resultType = castedOperands.front().getType();
     Type funcType = getFunctionType(resultType, castedOperands);
-    StringRef funcName =
-        getFunctionName(cast<LLVM::LLVMFunctionType>(funcType).getReturnType(),
-                        op.getFastmath());
+    StringRef funcName = getFunctionName(
+        cast<LLVM::LLVMFunctionType>(funcType).getReturnType(), op);
     if (funcName.empty())
       return failure();
 
@@ -91,6 +104,8 @@ struct OpToFuncCallLowering : public ConvertOpToLLVMPattern<SourceOp> {
       return success();
     }
 
+    assert(callOp.getResult().getType().isF32() &&
+           "only f32 types are supposed to be truncated back");
     Value truncated = rewriter.create<LLVM::FPTruncOp>(
         op->getLoc(), adaptor.getOperands().front().getType(),
         callOp.getResult());
@@ -98,7 +113,6 @@ struct OpToFuncCallLowering : public ConvertOpToLLVMPattern<SourceOp> {
     return success();
   }
 
-private:
   Value maybeCast(Value operand, PatternRewriter &rewriter) const {
     Type type = operand.getType();
     if (!isa<Float16Type, BFloat16Type>(type))
@@ -117,38 +131,50 @@ struct OpToFuncCallLowering : public ConvertOpToLLVMPattern<SourceOp> {
     return LLVM::LLVMFunctionType::get(resultType, operandTypes);
   }
 
-  StringRef getFunctionName(Type type, arith::FastMathFlags flag) const {
-    if (isa<Float16Type>(type))
-      return f16Func;
-    if (isa<Float32Type>(type)) {
-      if (((uint32_t)arith::FastMathFlags::afn & (uint32_t)flag) &&
-          !f32ApproxFunc.empty())
-        return f32ApproxFunc;
-      else
-        return f32Func;
-    }
-    if (isa<Float64Type>(type))
-      return f64Func;
-    return "";
-  }
-
   LLVM::LLVMFuncOp appendOrGetFuncOp(StringRef funcName, Type funcType,
                                      Operation *op) const {
     using LLVM::LLVMFuncOp;
 
     auto funcAttr = StringAttr::get(op->getContext(), funcName);
-    Operation *funcOp = SymbolTable::lookupNearestSymbolFrom(op, funcAttr);
+    auto funcOp =
+        SymbolTable::lookupNearestSymbolFrom<LLVMFuncOp>(op, funcAttr);
     if (funcOp)
-      return cast<LLVMFuncOp>(*funcOp);
+      return funcOp;
 
-    mlir::OpBuilder b(op->getParentOfType<FunctionOpInterface>());
+    auto parentFunc = op->getParentOfType<FunctionOpInterface>();
+    assert(parentFunc && "expected there to be a parent function");
+    OpBuilder b(parentFunc);
     return b.create<LLVMFuncOp>(op->getLoc(), funcName, funcType);
   }
 
+  StringRef getFunctionName(Type type, SourceOp op) const {
+    bool useApprox = false;
+    if constexpr (llvm::is_detected<has_get_fastmath_t, SourceOp>::value) {
+      arith::FastMathFlags flag = op.getFastmath();
+      useApprox = ((uint32_t)arith::FastMathFlags::afn & (uint32_t)flag) &&
+                  !f32ApproxFunc.empty();
+    }
+
+    if (isa<Float16Type>(type))
+      return f16Func;
+    if (isa<Float32Type>(type)) {
+      if (useApprox)
+        return f32ApproxFunc;
+      return f32Func;
+    }
+    if (isa<Float64Type>(type))
+      return f64Func;
+
+    if (type.isInteger(32))
+      return i32Func;
+    return "";
+  }
+
   const std::string f32Func;
   const std::string f64Func;
   const std::string f32ApproxFunc;
   const std::string f16Func;
+  const std::string i32Func;
 };
 
 } // namespace mlir
diff --git a/mlir/lib/Conversion/GPUToNVVM/LowerGpuOpsToNVVMOps.cpp b/mlir/lib/Conversion/GPUToNVVM/LowerGpuOpsToNVVMOps.cpp
index 2768929f460e2..11363a0d60ebf 100644
--- a/mlir/lib/Conversion/GPUToNVVM/LowerGpuOpsToNVVMOps.cpp
+++ b/mlir/lib/Conversion/GPUToNVVM/LowerGpuOpsToNVVMOps.cpp
@@ -446,6 +446,22 @@ static void populateOpPatterns(const LLVMTypeConverter &converter,
                                            f32ApproxFunc, f16Func);
 }
 
+template <typename OpTy>
+static void populateIntOpPatterns(const LLVMTypeConverter &converter,
+                                  RewritePatternSet &patterns,
+                                  StringRef i32Func) {
+  patterns.add<ScalarizeVectorOpLowering<OpTy>>(converter);
+  patterns.add<OpToFuncCallLowering<OpTy>>(converter, "", "", "", "", i32Func);
+}
+
+template <typename OpTy>
+static void populateFloatIntOpPatterns(const LLVMTypeConverter &converter,
+                                       RewritePatternSet &patterns,
+                                       StringRef f32Func, StringRef f64Func) {
+  patterns.add<ScalarizeVectorOpLowering<OpTy>>(converter);
+  patterns.add<OpToFuncCallLowering<OpTy>>(converter, f32Func, f64Func, "", "");
+}
+
 void mlir::populateGpuSubgroupReduceOpLoweringPattern(
     const LLVMTypeConverter &converter, RewritePatternSet &patterns) {
   patterns.add<GPUSubgroupReduceOpLowering>(converter);
@@ -509,6 +525,7 @@ void mlir::populateGpuToNVVMConversionPatterns(
 
   populateOpPatterns<arith::RemFOp>(converter, patterns, "__nv_fmodf",
                                     "__nv_fmod");
+  populateIntOpPatterns<math::AbsIOp>(converter, patterns, "__nv_abs");
   populateOpPatterns<math::AbsFOp>(converter, patterns, "__nv_fabsf",
                                    "__nv_fabs");
   populateOpPatterns<math::AcosOp>(converter, patterns, "__nv_acosf",
@@ -555,6 +572,8 @@ void mlir::populateGpuToNVVMConversionPatterns(
                                    "__nv_log2", "__nv_fast_log2f");
   populateOpPatterns<math::PowFOp>(converter, patterns, "__nv_powf", "__nv_pow",
                                    "__nv_fast_powf");
+  populateFloatIntOpPatterns<math::FPowIOp>(converter, patterns, "__nv_powif",
+                                            "__nv_powi");
   populateOpPatterns<math::RoundOp>(converter, patterns, "__nv_roundf",
                                     "__nv_round");
   populateOpPatterns<math::RoundEvenOp>(converter, patterns, "__nv_rintf",
diff --git a/mlir/test/Conversion/GPUToNVVM/gpu-to-nvvm.mlir b/mlir/test/Conversion/GPUToNVVM/gpu-to-nvvm.mlir
index f52dd6c0d0ce3..94c0f9e34c29c 100644
--- a/mlir/test/Conversion/GPUToNVVM/gpu-to-nvvm.mlir
+++ b/mlir/test/Conversion/GPUToNVVM/gpu-to-nvvm.mlir
@@ -1033,3 +1033,27 @@ module attributes {transform.with_named_sequence} {
     transform.yield
   }
 }
+
+
+gpu.module @test_module_52 {
+  // CHECK: llvm.func @__nv_abs(i32) -> i32
+  // CHECK-LABEL: func @gpu_abs
+  func.func @gpu_abs(%arg_i32 : i32) -> (i32) {
+    %result32 = math.absi %arg_i32 : i32
+    // CHECK: llvm.call @__nv_abs(%{{.*}}) : (i32) -> i32
+    func.return %result32 : i32
+  }
+}
+
+gpu.module @test_module_53 {
+  // CHECK: llvm.func @__nv_powif(f32, i32) -> f32
+  // CHECK: llvm.func @__nv_powi(f64, i32) -> f64
+  // CHECK-LABEL: func @gpu_powi
+  func.func @gpu_powi(%arg_f32 : f32, %arg_f64 : f64, %arg_i32 : i32) -> (f32, f64) {
+    %result32 = math.fpowi %arg_f32, %arg_i32 : f32, i32
+    // CHECK: llvm.call @__nv_powif(%{{.*}}, %{{.*}}) : (f32, i32) -> f32
+    %result64 = math.fpowi %arg_f64, %arg_i32 : f64, i32
+    // CHECK: llvm.call @__nv_powi(%{{.*}}, %{{.*}}) : (f64, i32) -> f64
+    func.return %result32, %result64 : f32, f64
+  }
+}