diff --git a/mlir/include/mlir/Target/LLVMIR/Dialect/All.h b/mlir/include/mlir/Target/LLVMIR/Dialect/All.h
index 0563b9bf3d475a..5dfc15afb75931 100644
--- a/mlir/include/mlir/Target/LLVMIR/Dialect/All.h
+++ b/mlir/include/mlir/Target/LLVMIR/Dialect/All.h
@@ -26,6 +26,7 @@
 #include "mlir/Target/LLVMIR/Dialect/OpenACC/OpenACCToLLVMIRTranslation.h"
 #include "mlir/Target/LLVMIR/Dialect/OpenMP/OpenMPToLLVMIRTranslation.h"
 #include "mlir/Target/LLVMIR/Dialect/ROCDL/ROCDLToLLVMIRTranslation.h"
+#include "mlir/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.h"
 #include "mlir/Target/LLVMIR/Dialect/X86Vector/X86VectorToLLVMIRTranslation.h"
 
 namespace mlir {
@@ -45,6 +46,7 @@ static inline void registerAllToLLVMIRTranslations(DialectRegistry &registry) {
   registerOpenACCDialectTranslation(registry);
   registerOpenMPDialectTranslation(registry);
   registerROCDLDialectTranslation(registry);
+  registerSPIRVDialectTranslation(registry);
   registerX86VectorDialectTranslation(registry);
 
   // Extension required for translating GPU offloading Ops.
@@ -61,6 +63,7 @@ registerAllGPUToLLVMIRTranslations(DialectRegistry &registry) {
   registerLLVMDialectTranslation(registry);
   registerNVVMDialectTranslation(registry);
   registerROCDLDialectTranslation(registry);
+  registerSPIRVDialectTranslation(registry);
 
   // Extension required for translating GPU offloading Ops.
   gpu::registerOffloadingLLVMTranslationInterfaceExternalModels(registry);
diff --git a/mlir/include/mlir/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.h b/mlir/include/mlir/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.h
new file mode 100644
index 00000000000000..2b066a528deb58
--- /dev/null
+++ b/mlir/include/mlir/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.h
@@ -0,0 +1,31 @@
+//===- SPIRVToLLVMIRTranslation.h - SPIR-V to LLVM IR -----------*- C++ -*-===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This provides registration calls for SPIR-V dialect to LLVM IR translation.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef MLIR_TARGET_LLVMIR_DIALECT_SPIRV_SPIRVTOLLVMIRTRANSLATION_H
+#define MLIR_TARGET_LLVMIR_DIALECT_SPIRV_SPIRVTOLLVMIRTRANSLATION_H
+
+namespace mlir {
+
+class DialectRegistry;
+class MLIRContext;
+
+/// Register the SPIR-V dialect and the translation from it to the LLVM IR in
+/// the given registry;
+void registerSPIRVDialectTranslation(DialectRegistry &registry);
+
+/// Register the SPIR-V dialect and the translation from it in the registry
+/// associated with the given context.
+void registerSPIRVDialectTranslation(MLIRContext &context);
+
+} // namespace mlir
+
+#endif // MLIR_TARGET_LLVMIR_DIALECT_SPIRV_SPIRVTOLLVMIRTRANSLATION_H
diff --git a/mlir/lib/Target/LLVMIR/CMakeLists.txt b/mlir/lib/Target/LLVMIR/CMakeLists.txt
index 5db0885d70d6e7..531c15a8703e94 100644
--- a/mlir/lib/Target/LLVMIR/CMakeLists.txt
+++ b/mlir/lib/Target/LLVMIR/CMakeLists.txt
@@ -58,6 +58,7 @@ add_mlir_translation_library(MLIRToLLVMIRTranslationRegistration
   MLIROpenACCToLLVMIRTranslation
   MLIROpenMPToLLVMIRTranslation
   MLIRROCDLToLLVMIRTranslation
+  MLIRSPIRVToLLVMIRTranslation
   )
 
 add_mlir_translation_library(MLIRTargetLLVMIRImport
diff --git a/mlir/lib/Target/LLVMIR/Dialect/CMakeLists.txt b/mlir/lib/Target/LLVMIR/Dialect/CMakeLists.txt
index fb0e5cd0649f63..c9d916d8a5d82d 100644
--- a/mlir/lib/Target/LLVMIR/Dialect/CMakeLists.txt
+++ b/mlir/lib/Target/LLVMIR/Dialect/CMakeLists.txt
@@ -9,4 +9,5 @@ add_subdirectory(NVVM)
 add_subdirectory(OpenACC)
 add_subdirectory(OpenMP)
 add_subdirectory(ROCDL)
+add_subdirectory(SPIRV)
 add_subdirectory(X86Vector)
diff --git a/mlir/lib/Target/LLVMIR/Dialect/GPU/SelectObjectAttr.cpp b/mlir/lib/Target/LLVMIR/Dialect/GPU/SelectObjectAttr.cpp
index 2acccb7c2fafa4..0eb33287d608bd 100644
--- a/mlir/lib/Target/LLVMIR/Dialect/GPU/SelectObjectAttr.cpp
+++ b/mlir/lib/Target/LLVMIR/Dialect/GPU/SelectObjectAttr.cpp
@@ -175,6 +175,7 @@ class LaunchKernel {
   IRBuilderBase &builder;
   mlir::LLVM::ModuleTranslation &moduleTranslation;
   Type *i32Ty{};
+  Type *i64Ty{};
   Type *voidTy{};
   Type *intPtrTy{};
   PointerType *ptrTy{};
@@ -216,6 +217,7 @@ llvm::LaunchKernel::LaunchKernel(
     mlir::LLVM::ModuleTranslation &moduleTranslation)
     : module(module), builder(builder), moduleTranslation(moduleTranslation) {
   i32Ty = builder.getInt32Ty();
+  i64Ty = builder.getInt64Ty();
   ptrTy = builder.getPtrTy(0);
   voidTy = builder.getVoidTy();
   intPtrTy = builder.getIntPtrTy(module.getDataLayout());
@@ -224,11 +226,11 @@ llvm::LaunchKernel::LaunchKernel(
 llvm::FunctionCallee llvm::LaunchKernel::getKernelLaunchFn() {
   return module.getOrInsertFunction(
       "mgpuLaunchKernel",
-      FunctionType::get(
-          voidTy,
-          ArrayRef<Type *>({ptrTy, intPtrTy, intPtrTy, intPtrTy, intPtrTy,
-                            intPtrTy, intPtrTy, i32Ty, ptrTy, ptrTy, ptrTy}),
-          false));
+      FunctionType::get(voidTy,
+                        ArrayRef<Type *>({ptrTy, intPtrTy, intPtrTy, intPtrTy,
+                                          intPtrTy, intPtrTy, intPtrTy, i32Ty,
+                                          ptrTy, ptrTy, ptrTy, i64Ty}),
+                        false));
 }
 
 llvm::FunctionCallee llvm::LaunchKernel::getClusterKernelLaunchFn() {
@@ -251,7 +253,7 @@ llvm::FunctionCallee llvm::LaunchKernel::getModuleFunctionFn() {
 llvm::FunctionCallee llvm::LaunchKernel::getModuleLoadFn() {
   return module.getOrInsertFunction(
       "mgpuModuleLoad",
-      FunctionType::get(ptrTy, ArrayRef<Type *>({ptrTy}), false));
+      FunctionType::get(ptrTy, ArrayRef<Type *>({ptrTy, i64Ty}), false));
 }
 
 llvm::FunctionCallee llvm::LaunchKernel::getModuleLoadJITFn() {
@@ -391,10 +393,24 @@ llvm::LaunchKernel::createKernelLaunch(mlir::gpu::LaunchFuncOp op,
   if (!binary)
     return op.emitError() << "Couldn't find the binary: " << binaryIdentifier;
 
+  auto binaryVar = dyn_cast<llvm::GlobalVariable>(binary);
+  if (!binaryVar)
+    return op.emitError() << "Binary is not a global variable: "
+                          << binaryIdentifier;
+  llvm::Constant *binaryInit = binaryVar->getInitializer();
+  auto binaryDataSeq =
+      dyn_cast_if_present<llvm::ConstantDataSequential>(binaryInit);
+  if (!binaryDataSeq)
+    return op.emitError() << "Couldn't find binary data array: "
+                          << binaryIdentifier;
+  llvm::Constant *binarySize =
+      llvm::ConstantInt::get(i64Ty, binaryDataSeq->getNumElements() *
+                                        binaryDataSeq->getElementByteSize());
+
   Value *moduleObject =
       object.getFormat() == gpu::CompilationTarget::Assembly
           ? builder.CreateCall(getModuleLoadJITFn(), {binary, optV})
-          : builder.CreateCall(getModuleLoadFn(), {binary});
+          : builder.CreateCall(getModuleLoadFn(), {binary, binarySize});
 
   // Load the kernel function.
   Value *moduleFunction = builder.CreateCall(
@@ -413,6 +429,9 @@ llvm::LaunchKernel::createKernelLaunch(mlir::gpu::LaunchFuncOp op,
     stream = builder.CreateCall(getStreamCreateFn(), {});
   }
 
+  llvm::Constant *paramsCount =
+      llvm::ConstantInt::get(i64Ty, op.getNumKernelOperands());
+
   // Create the launch call.
   Value *nullPtr = ConstantPointerNull::get(ptrTy);
 
@@ -426,10 +445,10 @@ llvm::LaunchKernel::createKernelLaunch(mlir::gpu::LaunchFuncOp op,
         ArrayRef<Value *>({moduleFunction, cx, cy, cz, gx, gy, gz, bx, by, bz,
                            dynamicMemorySize, stream, argArray, nullPtr}));
   } else {
-    builder.CreateCall(
-        getKernelLaunchFn(),
-        ArrayRef<Value *>({moduleFunction, gx, gy, gz, bx, by, bz,
-                           dynamicMemorySize, stream, argArray, nullPtr}));
+    builder.CreateCall(getKernelLaunchFn(),
+                       ArrayRef<Value *>({moduleFunction, gx, gy, gz, bx, by,
+                                          bz, dynamicMemorySize, stream,
+                                          argArray, nullPtr, paramsCount}));
   }
 
   // Sync & destroy the stream, for synchronous launches.
diff --git a/mlir/lib/Target/LLVMIR/Dialect/SPIRV/CMakeLists.txt b/mlir/lib/Target/LLVMIR/Dialect/SPIRV/CMakeLists.txt
new file mode 100644
index 00000000000000..850b95b8ddc77a
--- /dev/null
+++ b/mlir/lib/Target/LLVMIR/Dialect/SPIRV/CMakeLists.txt
@@ -0,0 +1,13 @@
+add_mlir_translation_library(MLIRSPIRVToLLVMIRTranslation
+  SPIRVToLLVMIRTranslation.cpp
+
+  LINK_COMPONENTS
+  Core
+
+  LINK_LIBS PUBLIC
+  MLIRIR
+  MLIRLLVMDialect
+  MLIRSPIRVDialect
+  MLIRSupport
+  MLIRTargetLLVMIRExport
+  )
diff --git a/mlir/lib/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.cpp b/mlir/lib/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.cpp
new file mode 100644
index 00000000000000..638edca5efde86
--- /dev/null
+++ b/mlir/lib/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.cpp
@@ -0,0 +1,31 @@
+//===- SPIRVToLLVMIRTranslation.cpp - Translate SPIR-V to LLVM IR ---------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+//
+// This file implements a translation between the MLIR SPIR-V dialect and
+// LLVM IR.
+//
+//===----------------------------------------------------------------------===//
+
+#include "mlir/Target/LLVMIR/Dialect/SPIRV/SPIRVToLLVMIRTranslation.h"
+#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
+#include "mlir/IR/BuiltinAttributes.h"
+#include "mlir/IR/Operation.h"
+#include "mlir/Target/LLVMIR/ModuleTranslation.h"
+
+using namespace mlir;
+using namespace mlir::LLVM;
+
+void mlir::registerSPIRVDialectTranslation(DialectRegistry &registry) {
+  registry.insert<spirv::SPIRVDialect>();
+}
+
+void mlir::registerSPIRVDialectTranslation(MLIRContext &context) {
+  DialectRegistry registry;
+  registerSPIRVDialectTranslation(registry);
+  context.appendDialectRegistry(registry);
+}
diff --git a/mlir/test/CMakeLists.txt b/mlir/test/CMakeLists.txt
index e4343095578c1f..f2ec7274e33416 100644
--- a/mlir/test/CMakeLists.txt
+++ b/mlir/test/CMakeLists.txt
@@ -141,6 +141,10 @@ if(MLIR_ENABLE_ROCM_RUNNER)
   list(APPEND MLIR_TEST_DEPENDS mlir_rocm_runtime)
 endif()
 
+if(MLIR_ENABLE_SYCL_RUNNER)
+  list(APPEND MLIR_TEST_DEPENDS mlir_sycl_runtime)
+endif()
+
 if (MLIR_RUN_ARM_SME_TESTS AND NOT ARM_SME_ABI_ROUTINES_SHLIB)
   list(APPEND MLIR_TEST_DEPENDS mlir_arm_sme_abi_stubs)
 endif()
diff --git a/mlir/test/Integration/GPU/SYCL/gpu-addf32-to-spirv.mlir b/mlir/test/Integration/GPU/SYCL/gpu-addf32-to-spirv.mlir
new file mode 100644
index 00000000000000..c0e2903aee2d12
--- /dev/null
+++ b/mlir/test/Integration/GPU/SYCL/gpu-addf32-to-spirv.mlir
@@ -0,0 +1,56 @@
+// RUN: mlir-opt %s -pass-pipeline='builtin.module(spirv-attach-target{ver=v1.0 caps=Addresses,Int64,Kernel},convert-gpu-to-spirv{use-64bit-index=true},gpu.module(spirv.module(spirv-lower-abi-attrs,spirv-update-vce)),func.func(llvm-request-c-wrappers),convert-scf-to-cf,convert-cf-to-llvm,convert-arith-to-llvm,convert-math-to-llvm,convert-func-to-llvm,gpu-to-llvm{use-bare-pointers-for-kernels=true},gpu-module-to-binary,expand-strided-metadata,lower-affine,finalize-memref-to-llvm,reconcile-unrealized-casts)' \
+// RUN: | mlir-cpu-runner \
+// RUN:   --shared-libs=%mlir_sycl_runtime \
+// RUN:   --shared-libs=%mlir_runner_utils \
+// RUN:   --entry-point-result=void \
+// RUN: | FileCheck %s
+
+module @add attributes {gpu.container_module} {
+  memref.global "private" constant @__constant_2x2x2xf32_0 : memref<2x2x2xf32> = dense<[[[1.1, 2.2], [3.3, 4.4]], [[5.5, 6.6], [7.7, 8.8 ]]]>
+  memref.global "private" constant @__constant_2x2x2xf32 : memref<2x2x2xf32> = dense<[[[1.2, 2.3], [4.5, 5.8]], [[7.2, 8.3], [10.5, 11.8]]]>
+  func.func @main() {
+    %0 = memref.get_global @__constant_2x2x2xf32 : memref<2x2x2xf32>
+    %1 = memref.get_global @__constant_2x2x2xf32_0 : memref<2x2x2xf32>
+    %2 = call @test(%0, %1) : (memref<2x2x2xf32>, memref<2x2x2xf32>) -> memref<2x2x2xf32>
+    %cast = memref.cast %2 : memref<2x2x2xf32> to memref<*xf32>
+    call @printMemrefF32(%cast) : (memref<*xf32>) -> ()
+    return
+  }
+  func.func private @printMemrefF32(memref<*xf32>)
+  func.func @test(%arg0: memref<2x2x2xf32>, %arg1: memref<2x2x2xf32>) -> memref<2x2x2xf32> {
+    %c2 = arith.constant 2 : index
+    %c1 = arith.constant 1 : index
+    %mem = gpu.alloc host_shared () : memref<2x2x2xf32>
+    memref.copy %arg1, %mem : memref<2x2x2xf32> to memref<2x2x2xf32>
+    %memref_0 = gpu.alloc host_shared () : memref<2x2x2xf32>
+    memref.copy %arg0, %memref_0 : memref<2x2x2xf32> to memref<2x2x2xf32>
+    %memref_2 = gpu.alloc host_shared () : memref<2x2x2xf32>
+    %2 = gpu.wait async
+    %3 = gpu.launch_func async [%2] @test_kernel::@test_kernel blocks in (%c2, %c2, %c2) threads in (%c1, %c1, %c1) args(%memref_0 : memref<2x2x2xf32>, %mem : memref<2x2x2xf32>, %memref_2 : memref<2x2x2xf32>)
+    gpu.wait [%3]
+    %alloc = memref.alloc() : memref<2x2x2xf32>
+    memref.copy %memref_2, %alloc : memref<2x2x2xf32> to memref<2x2x2xf32>
+    %4 = gpu.wait async
+    %5 = gpu.dealloc async [%4] %memref_2 : memref<2x2x2xf32>
+    %6 = gpu.dealloc async [%5] %memref_0 : memref<2x2x2xf32>
+    %7 = gpu.dealloc async [%6] %mem : memref<2x2x2xf32>
+    gpu.wait [%7]
+    return %alloc : memref<2x2x2xf32>
+  }
+  gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>} {
+    gpu.func @test_kernel(%arg0: memref<2x2x2xf32>, %arg1: memref<2x2x2xf32>, %arg2: memref<2x2x2xf32>) kernel attributes {gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 2, 2, 2>, spirv.entry_point_abi = #spirv.entry_point_abi<>} {
+      %0 = gpu.block_id  x
+      %1 = gpu.block_id  y
+      %2 = gpu.block_id  z
+      %3 = memref.load %arg0[%0, %1, %2] : memref<2x2x2xf32>
+      %4 = memref.load %arg1[%0, %1, %2] : memref<2x2x2xf32>
+      %5 = arith.addf %3, %4 : f32
+      memref.store %5, %arg2[%0, %1, %2] : memref<2x2x2xf32>
+      gpu.return
+    }
+  }
+  // CHECK: [2.3, 4.5]
+  // CHECK: [7.8, 10.2]
+  // CHECK: [12.7, 14.9]
+  // CHECK: [18.2, 20.6]
+}
diff --git a/mlir/test/Integration/GPU/SYCL/gpu-addi64-to-spirv.mlir b/mlir/test/Integration/GPU/SYCL/gpu-addi64-to-spirv.mlir
new file mode 100644
index 00000000000000..4ac1533b75d203
--- /dev/null
+++ b/mlir/test/Integration/GPU/SYCL/gpu-addi64-to-spirv.mlir
@@ -0,0 +1,54 @@
+// RUN: mlir-opt %s -pass-pipeline='builtin.module(spirv-attach-target{ver=v1.0 caps=Addresses,Int64,Kernel},convert-gpu-to-spirv{use-64bit-index=true},gpu.module(spirv.module(spirv-lower-abi-attrs,spirv-update-vce)),func.func(llvm-request-c-wrappers),convert-scf-to-cf,convert-cf-to-llvm,convert-arith-to-llvm,convert-math-to-llvm,convert-func-to-llvm,gpu-to-llvm{use-bare-pointers-for-kernels=true},gpu-module-to-binary,expand-strided-metadata,lower-affine,finalize-memref-to-llvm,reconcile-unrealized-casts)' \
+// RUN: | mlir-cpu-runner \
+// RUN:   --shared-libs=%mlir_sycl_runtime \
+// RUN:   --shared-libs=%mlir_runner_utils \
+// RUN:   --entry-point-result=void \
+// RUN: | FileCheck %s
+
+module @add attributes {gpu.container_module} {
+  memref.global "private" constant @__constant_3x3xi64_0 : memref<3x3xi64> = dense<[[1, 4098, 3], [16777220, 5, 4294967302], [7, 1099511627784, 9]]>
+  memref.global "private" constant @__constant_3x3xi64 : memref<3x3xi64> = dense<[[1, 2, 3], [4, 5, 4102], [16777223, 4294967304, 1099511627785]]>
+  func.func @main() {
+    %0 = memref.get_global @__constant_3x3xi64 : memref<3x3xi64>
+    %1 = memref.get_global @__constant_3x3xi64_0 : memref<3x3xi64>
+    %2 = call @test(%0, %1) : (memref<3x3xi64>, memref<3x3xi64>) -> memref<3x3xi64>
+    %cast = memref.cast %2 : memref<3x3xi64> to memref<*xi64>
+    call @printMemrefI64(%cast) : (memref<*xi64>) -> ()
+    return
+  }
+  func.func private @printMemrefI64(memref<*xi64>)
+  func.func @test(%arg0: memref<3x3xi64>, %arg1: memref<3x3xi64>) -> memref<3x3xi64> {
+    %c3 = arith.constant 3 : index
+    %c1 = arith.constant 1 : index
+    %mem = gpu.alloc host_shared () : memref<3x3xi64>
+    memref.copy %arg1, %mem : memref<3x3xi64> to memref<3x3xi64>
+    %memref_0 = gpu.alloc host_shared () : memref<3x3xi64>
+    memref.copy %arg0, %memref_0 : memref<3x3xi64> to memref<3x3xi64>
+    %memref_2 = gpu.alloc host_shared () : memref<3x3xi64>
+    %2 = gpu.wait async
+    %3 = gpu.launch_func async [%2] @test_kernel::@test_kernel blocks in (%c3, %c3, %c1) threads in (%c1, %c1, %c1) args(%memref_0 : memref<3x3xi64>, %mem : memref<3x3xi64>, %memref_2 : memref<3x3xi64>)
+    gpu.wait [%3]
+    %alloc = memref.alloc() : memref<3x3xi64>
+    memref.copy %memref_2, %alloc : memref<3x3xi64> to memref<3x3xi64>
+    %4 = gpu.wait async
+    %5 = gpu.dealloc async [%4] %memref_2 : memref<3x3xi64>
+    %6 = gpu.dealloc async [%5] %memref_0 : memref<3x3xi64>
+    %7 = gpu.dealloc async [%6] %mem : memref<3x3xi64>
+    gpu.wait [%7]
+    return %alloc : memref<3x3xi64>
+  }
+  gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>} {
+    gpu.func @test_kernel(%arg0: memref<3x3xi64>, %arg1: memref<3x3xi64>, %arg2: memref<3x3xi64>) kernel attributes {gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 3, 3, 1>, spirv.entry_point_abi = #spirv.entry_point_abi<>} {
+      %0 = gpu.block_id  x
+      %1 = gpu.block_id  y
+      %2 = memref.load %arg0[%0, %1] : memref<3x3xi64>
+      %3 = memref.load %arg1[%0, %1] : memref<3x3xi64>
+      %4 = arith.addi %2, %3 : i64
+      memref.store %4, %arg2[%0, %1] : memref<3x3xi64>
+      gpu.return
+    }
+  }
+  // CHECK: [2,   4100,   6],
+  // CHECK: [16777224,   10,   4294971404],
+  // CHECK: [16777230,   1103806595088,   1099511627794]
+}
diff --git a/mlir/test/Integration/GPU/SYCL/gpu-reluf32-to-spirv.mlir b/mlir/test/Integration/GPU/SYCL/gpu-reluf32-to-spirv.mlir
new file mode 100644
index 00000000000000..162a793305e972
--- /dev/null
+++ b/mlir/test/Integration/GPU/SYCL/gpu-reluf32-to-spirv.mlir
@@ -0,0 +1,79 @@
+// RUN: mlir-opt %s -pass-pipeline='builtin.module(spirv-attach-target{ver=v1.0 caps=Addresses,Int64,Kernel},convert-gpu-to-spirv{use-64bit-index=true},gpu.module(spirv.module(spirv-lower-abi-attrs,spirv-update-vce)),func.func(llvm-request-c-wrappers),convert-scf-to-cf,convert-cf-to-llvm,convert-arith-to-llvm,convert-math-to-llvm,convert-func-to-llvm,gpu-to-llvm{use-bare-pointers-for-kernels=true},gpu-module-to-binary,expand-strided-metadata,lower-affine,finalize-memref-to-llvm,reconcile-unrealized-casts)' \
+// RUN: | mlir-cpu-runner \
+// RUN:   --shared-libs=%mlir_sycl_runtime \
+// RUN:   --shared-libs=%mlir_runner_utils \
+// RUN:   --entry-point-result=void \
+// RUN: | FileCheck %s
+
+module @relu attributes {gpu.container_module} {
+  memref.global "private" constant @__constant_4x5xf32 : memref<4x5xf32> = dense<[
+    [-1.000000e-01, -2.000000e-01, -3.000000e-01, 4.000000e-01, 5.000000e-01],
+    [1.000000e-01, -2.000000e-01, 3.000000e-01, -4.000000e-01, 5.000000e-01],
+    [1.000000e-01, 2.000000e-01, 3.000000e-01, -4.000000e-01, -5.000000e-01],
+    [1.000000e-01, 2.000000e-01, 3.000000e-01, 4.000000e-01, 5.000000e-01]
+  ]>
+
+  func.func @main() {
+    %c1 = arith.constant 1 : index
+    %c100 = arith.constant 100 : index
+    %c0 = arith.constant 0 : index
+    %0 = memref.get_global @__constant_4x5xf32 : memref<4x5xf32>
+
+    scf.for %arg0 = %c0 to %c100 step %c1 {
+      %1 = func.call @test(%0) : (memref<4x5xf32>) -> memref<4x5xf32>
+      %cast = memref.cast %1 : memref<4x5xf32> to memref<*xf32>
+      func.call @printMemrefF32(%cast) : (memref<*xf32>) -> ()
+      // CHECK: [0, 0, 0, 0.4, 0.5],
+      // CHECK: [0.1, 0, 0.3, 0, 0.5],
+      // CHECK: [0.1, 0.2, 0.3, 0, 0],
+      // CHECK: [0.1, 0.2, 0.3, 0.4, 0.5]
+    }
+    return
+  }
+
+  func.func private @printMemrefF32(memref<*xf32>)
+  func.func @test(%arg0: memref<4x5xf32>) -> memref<4x5xf32> {
+    %c5 = arith.constant 5 : index
+    %c4 = arith.constant 4 : index
+    %cst = arith.constant 0.000000e+00 : f32
+    %c1 = arith.constant 1 : index
+    %memref = gpu.alloc host_shared () : memref<4x5xf32>
+    memref.copy %arg0, %memref : memref<4x5xf32> to memref<4x5xf32>
+    %memref_0 = gpu.alloc host_shared () : memref<4x5xi1>
+    %2 = gpu.wait async
+    %3 = gpu.launch_func async [%2]  @test_kernel::@test_kernel blocks in (%c4, %c5, %c1) threads in (%c1, %c1, %c1) args(%memref : memref<4x5xf32>, %cst : f32, %memref_0 : memref<4x5xi1>)
+    gpu.wait [%3]
+    %memref_1 = gpu.alloc host_shared () : memref<4x5xf32>
+    %4 = gpu.wait async
+    %5 = gpu.launch_func async [%4]  @test_kernel_0::@test_kernel blocks in (%c4, %c5, %c1) threads in (%c1, %c1, %c1) args(%memref_0 : memref<4x5xi1>, %memref : memref<4x5xf32>, %cst : f32, %memref_1 : memref<4x5xf32>)
+    gpu.wait [%5]
+    %alloc = memref.alloc() : memref<4x5xf32>
+    memref.copy %memref_1, %alloc : memref<4x5xf32> to memref<4x5xf32>
+    %6 = gpu.wait async
+    %7 = gpu.dealloc async [%6] %memref_1 : memref<4x5xf32>
+    %8 = gpu.dealloc async [%7] %memref_0 : memref<4x5xi1>
+    %9 = gpu.dealloc async [%8] %memref : memref<4x5xf32>
+    return %alloc : memref<4x5xf32>
+  }
+  gpu.module @test_kernel attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Int8, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>} {
+    gpu.func @test_kernel(%arg0: memref<4x5xf32>, %arg1: f32, %arg2: memref<4x5xi1>) kernel attributes {gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 4, 5, 1>, spirv.entry_point_abi = #spirv.entry_point_abi<>} {
+      %0 = gpu.block_id  x
+      %1 = gpu.block_id  y
+      %2 = memref.load %arg0[%0, %1] : memref<4x5xf32>
+      %3 = arith.cmpf olt, %2, %arg1 : f32
+      memref.store %3, %arg2[%0, %1] : memref<4x5xi1>
+      gpu.return
+    }
+  }
+  gpu.module @test_kernel_0 attributes {spirv.target_env = #spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Int8, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>} {
+    gpu.func @test_kernel(%arg0: memref<4x5xi1>, %arg1: memref<4x5xf32>, %arg2: f32, %arg3: memref<4x5xf32>) kernel attributes {gpu.known_block_size = array<i32: 1, 1, 1>, gpu.known_grid_size = array<i32: 4, 5, 1>, spirv.entry_point_abi = #spirv.entry_point_abi<>} {
+      %0 = gpu.block_id  x
+      %1 = gpu.block_id  y
+      %2 = memref.load %arg0[%0, %1] : memref<4x5xi1>
+      %3 = memref.load %arg1[%0, %1] : memref<4x5xf32>
+      %4 = arith.select %2, %arg2, %3 : f32
+      memref.store %4, %arg3[%0, %1] : memref<4x5xf32>
+      gpu.return
+    }
+  }
+}
diff --git a/mlir/test/Integration/GPU/SYCL/lit.local.cfg b/mlir/test/Integration/GPU/SYCL/lit.local.cfg
new file mode 100644
index 00000000000000..75bac1882eed5c
--- /dev/null
+++ b/mlir/test/Integration/GPU/SYCL/lit.local.cfg
@@ -0,0 +1,2 @@
+if not config.enable_sycl_runner:
+    config.unsupported = True
diff --git a/mlir/test/Target/LLVMIR/gpu.mlir b/mlir/test/Target/LLVMIR/gpu.mlir
index 190b53bcf2084b..88672bd231df8f 100644
--- a/mlir/test/Target/LLVMIR/gpu.mlir
+++ b/mlir/test/Target/LLVMIR/gpu.mlir
@@ -1,5 +1,5 @@
 // RUN: mlir-translate -mlir-to-llvmir -split-input-file %s | FileCheck %s
-
+ 
 // Checking the translation of the `gpu.binary` & `gpu.launch_fun` ops.
 module attributes {gpu.container_module} {
   // CHECK: [[ARGS_TY:%.*]] = type { i32, i32 }
@@ -17,10 +17,10 @@ module attributes {gpu.container_module} {
     // CHECK: store i32 32, ptr [[ARG1]], align 4
     // CHECK: %{{.*}} = getelementptr ptr, ptr [[ARGS_ARRAY]], i32 1
     // CHECK: store ptr [[ARG1]], ptr %{{.*}}, align 8
-    // CHECK: [[MODULE:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst)
+    // CHECK: [[MODULE:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst, i64 4)
     // CHECK: [[FUNC:%.*]] = call ptr @mgpuModuleGetFunction(ptr [[MODULE]], ptr @kernel_module_kernel_kernel_name)
     // CHECK: [[STREAM:%.*]] = call ptr @mgpuStreamCreate()
-    // CHECK: call void @mgpuLaunchKernel(ptr [[FUNC]], i64 8, i64 8, i64 8, i64 8, i64 8, i64 8, i32 256, ptr [[STREAM]], ptr [[ARGS_ARRAY]], ptr null)
+    // CHECK: call void @mgpuLaunchKernel(ptr [[FUNC]], i64 8, i64 8, i64 8, i64 8, i64 8, i64 8, i32 256, ptr [[STREAM]], ptr [[ARGS_ARRAY]], ptr null, i64 2)
     // CHECK: call void @mgpuStreamSynchronize(ptr [[STREAM]])
     // CHECK: call void @mgpuStreamDestroy(ptr [[STREAM]])
     // CHECK: call void @mgpuModuleUnload(ptr [[MODULE]])
@@ -50,6 +50,13 @@ module {
 
 // -----
 
+// Checking the correct selection of the second object using a target as a selector.
+module {
+  // CHECK: @kernel_module_bin_cst = internal constant [4 x i8] c"BLOB", align 8
+  gpu.binary @kernel_module <#gpu.select_object<#spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>>> [#gpu.object<#nvvm.target, "NVPTX">, #gpu.object<#spirv.target_env<#spirv.vce<v1.0, [Addresses, Int64, Kernel], []>, api=OpenCL, #spirv.resource_limits<>>, "BLOB">]
+}
+
+// -----
 // Checking the translation of `gpu.launch_fun` with an async dependency.
 module attributes {gpu.container_module} {
   // CHECK: @kernel_module_bin_cst = internal constant [4 x i8] c"BLOB", align 8
@@ -59,9 +66,9 @@ module attributes {gpu.container_module} {
     // CHECK: = call ptr @mgpuStreamCreate()
     // CHECK-NEXT: = alloca {{.*}}, align 8
     // CHECK-NEXT: [[ARGS:%.*]] = alloca ptr, i64 0, align 8
-    // CHECK-NEXT: [[MODULE:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst)
+    // CHECK-NEXT: [[MODULE:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst, i64 4)
     // CHECK-NEXT: [[FUNC:%.*]] = call ptr @mgpuModuleGetFunction(ptr [[MODULE]], ptr @kernel_module_kernel_kernel_name)
-    // CHECK-NEXT: call void @mgpuLaunchKernel(ptr [[FUNC]], i64 8, i64 8, i64 8, i64 8, i64 8, i64 8, i32 0, ptr {{.*}}, ptr [[ARGS]], ptr null)
+    // CHECK-NEXT: call void @mgpuLaunchKernel(ptr [[FUNC]], i64 8, i64 8, i64 8, i64 8, i64 8, i64 8, i32 0, ptr {{.*}}, ptr [[ARGS]], ptr null, i64 0)
     // CHECK-NEXT: call void @mgpuModuleUnload(ptr [[MODULE]])
     // CHECK-NEXT: call void @mgpuStreamSynchronize(ptr %{{.*}})
     // CHECK-NEXT: call void @mgpuStreamDestroy(ptr %{{.*}})
@@ -84,7 +91,7 @@ module attributes {gpu.container_module} {
   gpu.binary @kernel_module  [#gpu.object<#nvvm.target, "BLOB">]
   llvm.func @foo() {
   // CHECK: [[S2:%.*]] = alloca ptr, i64 0, align 8
-  // CHECK: [[S3:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst)
+  // CHECK: [[S3:%.*]] = call ptr @mgpuModuleLoad(ptr @kernel_module_bin_cst, i64 4)
   // CHECK: [[S4:%.*]] = call ptr @mgpuModuleGetFunction(ptr [[S3]], ptr @kernel_module_kernel_kernel_name)
   // CHECK: [[S5:%.*]] = call ptr @mgpuStreamCreate()
   // CHECK: call void @mgpuLaunchClusterKernel(ptr [[S4]], i64 2, i64 1, i64 1, i64 1, i64 1, i64 1, i64 1, i64 1, i64 1, i32 0, ptr [[S5]], ptr [[S2]], ptr null)
diff --git a/mlir/test/lit.cfg.py b/mlir/test/lit.cfg.py
index 87bbe51e95d4c9..5892bdd580a272 100644
--- a/mlir/test/lit.cfg.py
+++ b/mlir/test/lit.cfg.py
@@ -131,6 +131,9 @@ def add_runtime(name):
 if config.enable_cuda_runner:
     tools.extend([add_runtime("mlir_cuda_runtime")])
 
+if config.enable_sycl_runner:
+    tools.extend([add_runtime("mlir_sycl_runtime")])
+
 if config.mlir_run_arm_sme_tests:
     config.substitutions.append(
         (
diff --git a/mlir/test/lit.site.cfg.py.in b/mlir/test/lit.site.cfg.py.in
index 146e8443f5c98e..c0fa1b8980e539 100644
--- a/mlir/test/lit.site.cfg.py.in
+++ b/mlir/test/lit.site.cfg.py.in
@@ -31,6 +31,7 @@ config.run_rocm_tests = @MLIR_ENABLE_ROCM_CONVERSIONS@
 config.enable_rocm_runner = @MLIR_ENABLE_ROCM_RUNNER@
 config.gpu_compilation_format = "@MLIR_GPU_COMPILATION_TEST_FORMAT@"
 config.rocm_test_chipset = "@ROCM_TEST_CHIPSET@"
+config.enable_sycl_runner = @MLIR_ENABLE_SYCL_RUNNER@
 config.enable_spirv_cpu_runner = @MLIR_ENABLE_SPIRV_CPU_RUNNER@
 config.enable_vulkan_runner = @MLIR_ENABLE_VULKAN_RUNNER@
 config.enable_bindings_python = @MLIR_ENABLE_BINDINGS_PYTHON@