diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/lit.local.cfg b/mlir/test/Integration/Dialect/SparseTensor/CPU/lit.local.cfg
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/lit.local.cfg
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/lit.local.cfg
@@ -3,3 +3,31 @@
 # No JIT on win32.
 if sys.platform == 'win32':
     config.unsupported = True
+
+# ArmSVE tests must be enabled via build flag.
+if config.mlir_run_arm_sve_tests == 'ON':
+    config.substitutions.append(('%ENABLE_VLA', 'true'))
+    config.substitutions.append(('%VLA_ARCH_ATTR_OPTIONS', '--march=aarch64 --mattr="+sve"'))
+    lli_cmd = 'lli'
+    if config.arm_emulator_lli_executable:
+       lli_cmd = config.arm_emulator_lli_executable
+
+    if config.arm_emulator_utils_lib_dir:
+        config.substitutions.append(('%mlir_native_utils_lib_dir', config.arm_emulator_utils_lib_dir))
+    else:
+        config.substitutions.append(('%mlir_native_utils_lib_dir', config.mlir_integration_test_dir))
+
+    if config.arm_emulator_executable:
+        # Run test in emulator (qemu or armie)
+        emulation_cmd = config.arm_emulator_executable
+        if config.arm_emulator_options:
+            emulation_cmd = emulation_cmd + ' ' + config.arm_emulator_options
+        emulation_cmd = emulation_cmd + ' ' + lli_cmd
+        config.substitutions.append(('%lli', emulation_cmd))
+    else:
+        config.substitutions.append(('%lli', lli_cmd))
+else:
+    config.substitutions.append(('%lli', 'lli'))
+    config.substitutions.append(('%mlir_native_utils_lib_dir', config.mlir_integration_test_dir))
+    config.substitutions.append(('%ENABLE_VLA', 'false'))
+    config.substitutions.append(('%VLA_ARCH_ATTR_OPTIONS', ''))
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_cast.mlir
@@ -11,6 +11,13 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=2 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_filter_conv2d.mlir
@@ -9,6 +9,13 @@
 // RUN: mlir-cpu-runner -e entry -entry-point-result=void \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=2 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_flatten.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_flatten.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_flatten.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_flatten.mlir
@@ -13,6 +13,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/test.tns" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_index_dense.mlir
@@ -9,6 +9,13 @@
 // RUN: mlir-cpu-runner -e entry -entry-point-result=void \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #SparseVector = #sparse_tensor.encoding<{
   dimLevelType = ["compressed"]
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matvec.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matvec.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matvec.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matvec.mlir
@@ -14,6 +14,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=16 enable-vla-vectorization=%ENABLE_VLA enable-simd-index32" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_mttkrp.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_mttkrp.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_mttkrp.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_mttkrp.mlir
@@ -13,6 +13,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/mttkrp_b.tns" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_simple.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_simple.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_simple.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_simple.mlir
@@ -13,6 +13,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_quantized_matmul.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_quantized_matmul.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_quantized_matmul.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_quantized_matmul.mlir
@@ -9,6 +9,13 @@
 // RUN: mlir-cpu-runner -e entry -entry-point-result=void \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=2 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_vla.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_vla.mlir
new file mode 100644
--- /dev/null
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions_vla.mlir
@@ -0,0 +1,178 @@
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=8 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
+
+#SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
+#DV = #sparse_tensor.encoding<{ dimLevelType = [ "dense"      ] }>
+
+#trait_reduction = {
+  indexing_maps = [
+    affine_map<(i) -> (i)>,  // a
+    affine_map<(i) -> ()>    // x (scalar out)
+  ],
+  iterator_types = ["reduction"],
+  doc = "x += OPER_i a(i)"
+}
+
+// An example of vector reductions.
+module {
+
+  func.func @sum_reduction_i32(%arga: tensor<32xi32, #SV>,
+                          %argx: tensor<i32>) -> tensor<i32> {
+    %0 = linalg.generic #trait_reduction
+      ins(%arga: tensor<32xi32, #SV>)
+      outs(%argx: tensor<i32>) {
+        ^bb(%a: i32, %x: i32):
+          %0 = arith.addi %x, %a : i32
+          linalg.yield %0 : i32
+    } -> tensor<i32>
+    return %0 : tensor<i32>
+  }
+
+  func.func @sum_reduction_f32(%arga: tensor<32xf32, #SV>,
+                          %argx: tensor<f32>) -> tensor<f32> {
+    %0 = linalg.generic #trait_reduction
+      ins(%arga: tensor<32xf32, #SV>)
+      outs(%argx: tensor<f32>) {
+        ^bb(%a: f32, %x: f32):
+          %0 = arith.addf %x, %a : f32
+          linalg.yield %0 : f32
+    } -> tensor<f32>
+    return %0 : tensor<f32>
+  }
+
+  func.func @and_reduction_i32(%arga: tensor<32xi32, #DV>,
+                          %argx: tensor<i32>) -> tensor<i32> {
+    %0 = linalg.generic #trait_reduction
+      ins(%arga: tensor<32xi32, #DV>)
+      outs(%argx: tensor<i32>) {
+        ^bb(%a: i32, %x: i32):
+          %0 = arith.andi %x, %a : i32
+          linalg.yield %0 : i32
+    } -> tensor<i32>
+    return %0 : tensor<i32>
+  }
+
+  func.func @or_reduction_i32(%arga: tensor<32xi32, #SV>,
+                         %argx: tensor<i32>) -> tensor<i32> {
+    %0 = linalg.generic #trait_reduction
+      ins(%arga: tensor<32xi32, #SV>)
+      outs(%argx: tensor<i32>) {
+        ^bb(%a: i32, %x: i32):
+          %0 = arith.ori %x, %a : i32
+          linalg.yield %0 : i32
+    } -> tensor<i32>
+    return %0 : tensor<i32>
+  }
+
+  func.func @xor_reduction_i32(%arga: tensor<32xi32, #SV>,
+                          %argx: tensor<i32>) -> tensor<i32> {
+    %0 = linalg.generic #trait_reduction
+      ins(%arga: tensor<32xi32, #SV>)
+      outs(%argx: tensor<i32>) {
+        ^bb(%a: i32, %x: i32):
+          %0 = arith.xori %x, %a : i32
+          linalg.yield %0 : i32
+    } -> tensor<i32>
+    return %0 : tensor<i32>
+  }
+
+  func.func @dump_i32(%arg0 : memref<i32>) {
+    %v = memref.load %arg0[] : memref<i32>
+    vector.print %v : i32
+    return
+  }
+
+  func.func @dump_f32(%arg0 : memref<f32>) {
+    %v = memref.load %arg0[] : memref<f32>
+    vector.print %v : f32
+    return
+  }
+
+  func.func @entry() {
+    %ri = arith.constant dense< 7   > : tensor<i32>
+    %rf = arith.constant dense< 2.0 > : tensor<f32>
+
+    %c_0_i32 = arith.constant dense<[
+      0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 4, 0, 0, 0,
+      0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9, 0
+    ]> : tensor<32xi32>
+
+    %c_0_f32 = arith.constant dense<[
+      0.0, 1.0, 0.0, 0.0, 4.0, 0.0, 0.0, 0.0,
+      0.0, 0.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0,
+      0.0, 0.0, 0.0, 0.0, 2.5, 0.0, 0.0, 0.0,
+      2.0, 0.0, 0.0, 0.0, 0.0, 4.0, 0.0, 9.0
+    ]> : tensor<32xf32>
+
+    %c_1_i32 = arith.constant dense<[
+      1, 1, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
+      1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 7, 3
+    ]> : tensor<32xi32>
+
+    %c_1_f32 = arith.constant dense<[
+      1.0, 1.0, 1.0, 3.5, 1.0, 1.0, 1.0, 1.0,
+      1.0, 1.0, 2.0, 1.0, 1.0, 1.0, 1.0, 1.0,
+      1.0, 1.0, 1.0, 1.0, 3.0, 1.0, 1.0, 1.0,
+      1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 4.0
+    ]> : tensor<32xf32>
+
+    // Convert constants to annotated tensors.
+    %sparse_input_i32 = sparse_tensor.convert %c_0_i32
+      : tensor<32xi32> to tensor<32xi32, #SV>
+    %sparse_input_f32 = sparse_tensor.convert %c_0_f32
+      : tensor<32xf32> to tensor<32xf32, #SV>
+    %dense_input_i32 = sparse_tensor.convert %c_1_i32
+      : tensor<32xi32> to tensor<32xi32, #DV>
+    %dense_input_f32 = sparse_tensor.convert %c_1_f32
+      : tensor<32xf32> to tensor<32xf32, #DV>
+
+    // Call the kernels.
+    %0 = call @sum_reduction_i32(%sparse_input_i32, %ri)
+       : (tensor<32xi32, #SV>, tensor<i32>) -> tensor<i32>
+    %1 = call @sum_reduction_f32(%sparse_input_f32, %rf)
+       : (tensor<32xf32, #SV>, tensor<f32>) -> tensor<f32>
+    %4 = call @and_reduction_i32(%dense_input_i32, %ri)
+       : (tensor<32xi32, #DV>, tensor<i32>) -> tensor<i32>
+    %5 = call @or_reduction_i32(%sparse_input_i32, %ri)
+       : (tensor<32xi32, #SV>, tensor<i32>) -> tensor<i32>
+    %6 = call @xor_reduction_i32(%sparse_input_i32, %ri)
+       : (tensor<32xi32, #SV>, tensor<i32>) -> tensor<i32>
+
+    // Verify results.
+    //
+    // CHECK: 26
+    // CHECK: 27.5
+    // CHECK: 1
+    // CHECK: 15
+    // CHECK: 10
+    //
+    %m0 = bufferization.to_memref %0 : memref<i32>
+    call @dump_i32(%m0) : (memref<i32>) -> ()
+    %m1 = bufferization.to_memref %1 : memref<f32>
+    call @dump_f32(%m1) : (memref<f32>) -> ()
+    %m4 = bufferization.to_memref %4 : memref<i32>
+    call @dump_i32(%m4) : (memref<i32>) -> ()
+    %m5 = bufferization.to_memref %5 : memref<i32>
+    call @dump_i32(%m5) : (memref<i32>) -> ()
+    %m6 = bufferization.to_memref %6 : memref<i32>
+    call @dump_i32(%m6) : (memref<i32>) -> ()
+
+    // Release the resources.
+    sparse_tensor.release %sparse_input_i32 : tensor<32xi32, #SV>
+    sparse_tensor.release %sparse_input_f32 : tensor<32xf32, #SV>
+    sparse_tensor.release %dense_input_i32  : tensor<32xi32, #DV>
+    sparse_tensor.release %dense_input_f32  : tensor<32xf32, #DV>
+    memref.dealloc %m0 : memref<i32>
+    memref.dealloc %m1 : memref<f32>
+    memref.dealloc %m4 : memref<i32>
+    memref.dealloc %m5 : memref<i32>
+    memref.dealloc %m6 : memref<i32>
+
+    return
+  }
+}
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_matmul.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_matmul.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_matmul.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_matmul.mlir
@@ -15,6 +15,13 @@
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
 //
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA enable-simd-index32" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
old mode 100755
new mode 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
@@ -9,6 +9,13 @@
 // RUN: mlir-cpu-runner -e entry -entry-point-result=void \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=8 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #SM = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_scale.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_scale.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_scale.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_scale.mlir
@@ -11,6 +11,13 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=4 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 #CSR = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ] }>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_spmm.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_spmm.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_spmm.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_spmm.mlir
@@ -13,6 +13,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=2 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>
 
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sum.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sum.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sum.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sum.mlir
@@ -13,6 +13,14 @@
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
 // RUN: FileCheck %s
+//
+// If SVE is available, test VLA vectorization.
+//
+// RUN: mlir-opt %s --sparse-compiler="vectorization-strategy=2 vl=2 enable-vla-vectorization=%ENABLE_VLA" | \
+// RUN: mlir-translate -mlir-to-llvmir | \
+// RUN: TENSOR0="%mlir_integration_test_dir/data/test_symmetric.mtx" \
+// RUN: %lli --entry-function=entry %VLA_ARCH_ATTR_OPTIONS --dlopen=%mlir_native_utils_lib_dir/libmlir_c_runner_utils%shlibext | \
+// RUN: FileCheck %s
 
 !Filename = !llvm.ptr<i8>