diff --git a/mlir/include/mlir/Dialect/SparseTensor/Pipelines/Passes.h b/mlir/include/mlir/Dialect/SparseTensor/Pipelines/Passes.h
new file mode 100644
--- /dev/null
+++ b/mlir/include/mlir/Dialect/SparseTensor/Pipelines/Passes.h
@@ -0,0 +1,70 @@
+//===- Passes.h - Sparse tensor pipeline entry points -----------*- 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 header file defines prototypes of all sparse tensor pipelines.
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef MLIR_DIALECT_SPARSETENSOR_PIPELINES_PASSES_H_
+#define MLIR_DIALECT_SPARSETENSOR_PIPELINES_PASSES_H_
+
+#include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
+#include "mlir/Pass/PassOptions.h"
+
+using namespace mlir::detail;
+using namespace llvm::cl;
+
+namespace mlir {
+namespace sparse_tensor {
+
+/// Options for the "sparse-tensor-standard-pipeline".  So far this
+/// contains only the same options as the sparsification pass, and must
+/// be kept in sync with the `SparseTensor/Transforms/Passes.td` file.
+/// In the future this may be extended with options for other passes in
+/// the pipeline.
+struct StandardPipelineOptions
+    : public PassPipelineOptions<StandardPipelineOptions> {
+  PassOptions::Option<int32_t> parallelization{
+      *this, "parallelization-strategy",
+      desc("Set the parallelization strategy"), init(0)};
+  PassOptions::Option<int32_t> vectorization{
+      *this, "vectorization-strategy", desc("Set the vectorization strategy"),
+      init(0)};
+  PassOptions::Option<int32_t> vectorLength{
+      *this, "vl", desc("Set the vector length"), init(1)};
+  PassOptions::Option<bool> enableSIMDIndex32{
+      *this, "enable-simd-index32",
+      desc("Enable i32 indexing into vectors (for efficiency)"), init(false)};
+
+  /// Projects out the options for the sparsification pass.
+  SparsificationOptions sparsificationOptions() const {
+    return SparsificationOptions(sparseParallelizationStrategy(parallelization),
+                                 sparseVectorizationStrategy(vectorization),
+                                 vectorLength, enableSIMDIndex32);
+  }
+};
+
+//===----------------------------------------------------------------------===//
+// Building and Registering.
+//===----------------------------------------------------------------------===//
+
+/// Adds "sparse-tensor-standard-pipeline" to the `OpPassManager`.
+/// This is the standard compiler for taking sparsity-agnostic IR
+/// using the sparse-tensor type and lowering it to LLVM IR with concrete
+/// representations and algorithms for sparse tensors.
+void buildStandardPipeline(OpPassManager &pm,
+                           const StandardPipelineOptions &options);
+
+/// Registers all pipelines for the `sparse_tensor` dialect.  At present,
+/// this includes only "sparse-tensor-standard-pipeline".
+void registerSparseTensorPipelines();
+
+} // namespace sparse_tensor
+} // namespace mlir
+
+#endif // MLIR_DIALECT_SPARSETENSOR_PIPELINES_PASSES_H_
diff --git a/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.h b/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.h
--- a/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.h
+++ b/mlir/include/mlir/Dialect/SparseTensor/Transforms/Passes.h
@@ -35,6 +35,9 @@
   // TODO: support reduction parallelization too?
 };
 
+/// Converts command-line parallelization flag to the strategy enum.
+SparseParallelizationStrategy sparseParallelizationStrategy(int32_t flag);
+
 /// Defines a vectorization strategy. Any inner loop is a candidate (full SIMD
 /// for parallel loops and horizontal SIMD for reduction loops). A loop is
 /// actually vectorized if (1) allowed by the strategy, and (2) the emitted
@@ -45,6 +48,9 @@
   kAnyStorageInnerLoop
 };
 
+/// Converts command-line vectorization flag to the strategy enum.
+SparseVectorizationStrategy sparseVectorizationStrategy(int32_t flag);
+
 /// Sparsification options.
 struct SparsificationOptions {
   SparsificationOptions(SparseParallelizationStrategy p,
@@ -70,6 +76,8 @@
                                             RewritePatternSet &patterns);
 
 std::unique_ptr<Pass> createSparsificationPass();
+std::unique_ptr<Pass>
+createSparsificationPass(const SparsificationOptions &options);
 std::unique_ptr<Pass> createSparseTensorConversionPass();
 
 //===----------------------------------------------------------------------===//
diff --git a/mlir/include/mlir/InitAllPasses.h b/mlir/include/mlir/InitAllPasses.h
--- a/mlir/include/mlir/InitAllPasses.h
+++ b/mlir/include/mlir/InitAllPasses.h
@@ -27,6 +27,7 @@
 #include "mlir/Dialect/SCF/Passes.h"
 #include "mlir/Dialect/SPIRV/Transforms/Passes.h"
 #include "mlir/Dialect/Shape/Transforms/Passes.h"
+#include "mlir/Dialect/SparseTensor/Pipelines/Passes.h"
 #include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
 #include "mlir/Dialect/StandardOps/Transforms/Passes.h"
 #include "mlir/Dialect/Tensor/Transforms/Passes.h"
@@ -70,6 +71,9 @@
   registerStandardPasses();
   tensor::registerTensorPasses();
   tosa::registerTosaOptPasses();
+
+  // Dialect pipelines
+  sparse_tensor::registerSparseTensorPipelines();
 }
 
 } // namespace mlir
diff --git a/mlir/lib/Dialect/SparseTensor/CMakeLists.txt b/mlir/lib/Dialect/SparseTensor/CMakeLists.txt
--- a/mlir/lib/Dialect/SparseTensor/CMakeLists.txt
+++ b/mlir/lib/Dialect/SparseTensor/CMakeLists.txt
@@ -1,3 +1,4 @@
 add_subdirectory(IR)
 add_subdirectory(Transforms)
+add_subdirectory(Pipelines)
 add_subdirectory(Utils)
diff --git a/mlir/lib/Dialect/SparseTensor/Pipelines/CMakeLists.txt b/mlir/lib/Dialect/SparseTensor/Pipelines/CMakeLists.txt
new file mode 100644
--- /dev/null
+++ b/mlir/lib/Dialect/SparseTensor/Pipelines/CMakeLists.txt
@@ -0,0 +1,21 @@
+add_mlir_dialect_library(MLIRSparseTensorPipelines
+  SparseTensorPipelines.cpp
+
+  ADDITIONAL_HEADER_DIRS
+  ${MLIR_MAIN_INCLUDE_DIR}/mlir/Dialect/SparseTensor
+
+  LINK_LIBS PUBLIC
+  MLIRAffineToStandard
+  MLIRBufferizationTransforms
+  MLIRLinalgTransforms
+  MLIRMathToLLVM
+  MLIRMemRefToLLVM
+  MLIRPass
+  MLIRReconcileUnrealizedCasts
+  MLIRSCFToStandard
+  MLIRSparseTensor
+  MLIRSparseTensorTransforms
+  MLIRStandardOpsTransforms
+  MLIRTensorTransforms
+  MLIRVectorToLLVM
+)
diff --git a/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
new file mode 100644
--- /dev/null
+++ b/mlir/lib/Dialect/SparseTensor/Pipelines/SparseTensorPipelines.cpp
@@ -0,0 +1,59 @@
+//===- SparseTensorPipelines.cpp - Pipelines for sparse tensor code -------===//
+//
+// 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
+//
+//===----------------------------------------------------------------------===//
+
+#include "mlir/Dialect/SparseTensor/Pipelines/Passes.h"
+
+#include "mlir/Conversion/Passes.h"
+#include "mlir/Dialect/Bufferization/Transforms/Passes.h"
+#include "mlir/Dialect/Linalg/Passes.h"
+#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"
+#include "mlir/Dialect/SparseTensor/Transforms/Passes.h"
+#include "mlir/Dialect/StandardOps/Transforms/Passes.h"
+#include "mlir/Dialect/Tensor/Transforms/Passes.h"
+#include "mlir/Pass/PassManager.h"
+
+using namespace mlir;
+using namespace mlir::sparse_tensor;
+
+//===----------------------------------------------------------------------===//
+// Pipeline implementation.
+//===----------------------------------------------------------------------===//
+
+void mlir::sparse_tensor::buildStandardPipeline(
+    OpPassManager &pm, const StandardPipelineOptions &options) {
+  pm.addPass(createSparsificationPass(options.sparsificationOptions()));
+  pm.addPass(createSparseTensorConversionPass());
+  pm.addPass(createLinalgBufferizePass());
+  pm.addPass(createConvertLinalgToLoopsPass());
+  pm.addPass(createConvertVectorToSCFPass());
+  pm.addPass(createLowerToCFGPass()); // --convert-scf-to-std
+  pm.addPass(createFuncBufferizePass());
+  pm.addPass(createTensorConstantBufferizePass());
+  pm.addPass(createTensorBufferizePass());
+  pm.addPass(createStdBufferizePass());
+  pm.addPass(mlir::bufferization::createFinalizingBufferizePass());
+  pm.addPass(createLowerAffinePass());
+  pm.addPass(createConvertVectorToLLVMPass());
+  pm.addPass(createMemRefToLLVMPass());
+  pm.addPass(createConvertMathToLLVMPass());
+  pm.addPass(createLowerToLLVMPass()); // --convert-std-to-llvm
+  pm.addPass(createReconcileUnrealizedCastsPass());
+}
+
+//===----------------------------------------------------------------------===//
+// Pipeline registration.
+//===----------------------------------------------------------------------===//
+
+void mlir::sparse_tensor::registerSparseTensorPipelines() {
+  PassPipelineRegistration<StandardPipelineOptions>(
+      "sparse-tensor-standard-pipeline",
+      "Standard compiler for taking sparsity-agnostic IR using the"
+      " sparse-tensor type, and lowering it to LLVM IR with concrete"
+      " representations and algorithms for sparse tensors.",
+      buildStandardPipeline);
+}
diff --git a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorPasses.cpp b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorPasses.cpp
--- a/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorPasses.cpp
+++ b/mlir/lib/Dialect/SparseTensor/Transforms/SparseTensorPasses.cpp
@@ -34,41 +34,21 @@
 
   SparsificationPass() = default;
   SparsificationPass(const SparsificationPass &pass) = default;
-
-  /// Returns parallelization strategy given on command line.
-  SparseParallelizationStrategy parallelOption() {
-    switch (parallelization) {
-    default:
-      return SparseParallelizationStrategy::kNone;
-    case 1:
-      return SparseParallelizationStrategy::kDenseOuterLoop;
-    case 2:
-      return SparseParallelizationStrategy::kAnyStorageOuterLoop;
-    case 3:
-      return SparseParallelizationStrategy::kDenseAnyLoop;
-    case 4:
-      return SparseParallelizationStrategy::kAnyStorageAnyLoop;
-    }
-  }
-
-  /// Returns vectorization strategy given on command line.
-  SparseVectorizationStrategy vectorOption() {
-    switch (vectorization) {
-    default:
-      return SparseVectorizationStrategy::kNone;
-    case 1:
-      return SparseVectorizationStrategy::kDenseInnerLoop;
-    case 2:
-      return SparseVectorizationStrategy::kAnyStorageInnerLoop;
-    }
+  SparsificationPass(const SparsificationOptions &options) {
+    parallelization = static_cast<int32_t>(options.parallelizationStrategy);
+    vectorization = static_cast<int32_t>(options.vectorizationStrategy);
+    vectorLength = options.vectorLength;
+    enableSIMDIndex32 = options.enableSIMDIndex32;
   }
 
   void runOnOperation() override {
     auto *ctx = &getContext();
     RewritePatternSet patterns(ctx);
     // Translate strategy flags to strategy options.
-    SparsificationOptions options(parallelOption(), vectorOption(),
-                                  vectorLength, enableSIMDIndex32);
+    SparsificationOptions options(
+        sparseParallelizationStrategy(parallelization),
+        sparseVectorizationStrategy(vectorization), vectorLength,
+        enableSIMDIndex32);
     // Apply rewriting.
     populateSparsificationPatterns(patterns, options);
     vector::populateVectorToVectorCanonicalizationPatterns(patterns);
@@ -136,10 +116,42 @@
 
 } // namespace
 
+SparseParallelizationStrategy
+mlir::sparseParallelizationStrategy(int32_t flag) {
+  switch (flag) {
+  default:
+    return SparseParallelizationStrategy::kNone;
+  case 1:
+    return SparseParallelizationStrategy::kDenseOuterLoop;
+  case 2:
+    return SparseParallelizationStrategy::kAnyStorageOuterLoop;
+  case 3:
+    return SparseParallelizationStrategy::kDenseAnyLoop;
+  case 4:
+    return SparseParallelizationStrategy::kAnyStorageAnyLoop;
+  }
+}
+
+SparseVectorizationStrategy mlir::sparseVectorizationStrategy(int32_t flag) {
+  switch (flag) {
+  default:
+    return SparseVectorizationStrategy::kNone;
+  case 1:
+    return SparseVectorizationStrategy::kDenseInnerLoop;
+  case 2:
+    return SparseVectorizationStrategy::kAnyStorageInnerLoop;
+  }
+}
+
 std::unique_ptr<Pass> mlir::createSparsificationPass() {
   return std::make_unique<SparsificationPass>();
 }
 
+std::unique_ptr<Pass>
+mlir::createSparsificationPass(const SparsificationOptions &options) {
+  return std::make_unique<SparsificationPass>(options);
+}
+
 std::unique_ptr<Pass> mlir::createSparseTensorConversionPass() {
   return std::make_unique<SparseTensorConversionPass>();
 }
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/dense_output.mlir
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
 // RUN: TENSOR1="%mlir_integration_test_dir/data/zero.mtx" \
 // RUN: mlir-cpu-runner \
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
@@ -1,10 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -13,12 +7,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=2" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=2" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_constant_to_sparse_tensor.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_constant_to_sparse_tensor.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_constant_to_sparse_tensor.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_constant_to_sparse_tensor.mlir
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion.mlir
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_dyn.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_dyn.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_dyn.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_dyn.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_ptr.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conversion_sparse2dense.mlir
@@ -1,12 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:  -sparsification -sparse-tensor-conversion \
-// RUN:  -linalg-bufferize -convert-linalg-to-loops \
-// RUN:  -convert-vector-to-scf -convert-scf-to-std \
-// RUN:  -func-bufferize -tensor-constant-bufferize -tensor-bufferize \
-// RUN:  -std-bufferize -finalizing-bufferize \
-// RUN:  -convert-vector-to-llvm -convert-memref-to-llvm -convert-std-to-llvm \
-// RUN:  -reconcile-unrealized-casts \
-// RUN:  | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext \
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
@@ -1,11 +1,6 @@
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -15,12 +10,7 @@
 //
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification="vectorization-strategy=2 vl=2" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=2" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.tns" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=4" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=4" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.tns" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matmul.mlir
@@ -1,12 +1,6 @@
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_matrix_ops.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=16 enable-simd-index32" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=16 enable-simd-index32" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/mttkrp_b.tns" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=4" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=4" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/mttkrp_b.tns" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_mult_elt.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_out_reduction.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=4" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=4" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
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
@@ -1,11 +1,6 @@
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -15,12 +10,7 @@
 //
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification="vectorization-strategy=2 vl=2" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=2" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_reductions.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -15,12 +8,7 @@
 //
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification="vectorization-strategy=2 vl=8" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=8" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=4 enable-simd-index32" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=4 enable-simd-index32" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
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
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_sampled_mm_fusion.mlir
@@ -1,12 +1,6 @@
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -16,13 +10,7 @@
 //
 // RUN: mlir-opt %s \
 // RUN:   --linalg-generalize-named-ops --linalg-fuse-elementwise-ops \
-// RUN:   --sparsification="vectorization-strategy=2 vl=8" --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=8" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
@@ -12,11 +7,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=4" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=4" | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=2" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=2" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/wide.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_storage.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_storage.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_storage.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_storage.mlir
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize  \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
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
@@ -1,9 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test_symmetric.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
@@ -13,11 +8,7 @@
 // Do the same run, but now with SIMDization as well. This should not change the outcome.
 //
 // RUN: mlir-opt %s \
-// RUN:   --sparsification="vectorization-strategy=2 vl=2" --sparse-tensor-conversion \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN:   --sparse-tensor-standard-pipeline="vectorization-strategy=2 vl=2" | \
 // RUN: TENSOR0="%mlir_integration_test_dir/data/test_symmetric.mtx" \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_tensor_ops.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_vector_ops.mlir
@@ -1,11 +1,4 @@
-// RUN: mlir-opt %s \
-// RUN:   --sparsification --sparse-tensor-conversion \
-// RUN:   --linalg-bufferize --convert-linalg-to-loops \
-// RUN:   --convert-vector-to-scf --convert-scf-to-std \
-// RUN:   --func-bufferize --tensor-constant-bufferize --tensor-bufferize \
-// RUN:   --std-bufferize --finalizing-bufferize --lower-affine \
-// RUN:   --convert-vector-to-llvm --convert-memref-to-llvm --convert-math-to-llvm \
-// RUN:   --convert-std-to-llvm --reconcile-unrealized-casts | \
+// RUN: mlir-opt %s --sparse-tensor-standard-pipeline | \
 // RUN: mlir-cpu-runner \
 // RUN:  -e entry -entry-point-result=void  \
 // RUN:  -shared-libs=%mlir_integration_test_dir/libmlir_c_runner_utils%shlibext | \
diff --git a/utils/bazel/llvm-project-overlay/mlir/BUILD.bazel b/utils/bazel/llvm-project-overlay/mlir/BUILD.bazel
--- a/utils/bazel/llvm-project-overlay/mlir/BUILD.bazel
+++ b/utils/bazel/llvm-project-overlay/mlir/BUILD.bazel
@@ -1978,6 +1978,23 @@
     ],
 )
 
+cc_library(
+    name = "SparseTensorPipelines",
+    srcs = glob(["lib/Dialect/SparseTensor/Pipelines/*.cpp"]),
+    hdrs = ["include/mlir/Dialect/SparseTensor/Pipelines/Passes.h"],
+    includes = ["include"],
+    deps = [
+        ":BufferizationTransforms",
+        ":ConversionPasses",
+        ":LinalgTransforms",
+        ":Pass",
+        ":SparseTensor",
+        ":SparseTensorTransforms",
+        ":StandardOpsTransforms",
+        ":TensorTransforms",
+    ],
+)
+
 td_library(
     name = "StdOpsTdFiles",
     srcs = [
@@ -5672,6 +5689,7 @@
         ":ShapeTransforms",
         ":ShapeTransformsPassIncGen",
         ":SparseTensor",
+        ":SparseTensorPipelines",
         ":SparseTensorTransforms",
         ":StandardOps",
         ":StandardOpsTransforms",