diff --git a/runtime/samples/CMakeLists.txt b/runtime/samples/CMakeLists.txt
index 04527805..00391fed 100644
--- a/runtime/samples/CMakeLists.txt
+++ b/runtime/samples/CMakeLists.txt
@@ -4,3 +4,4 @@ add_subdirectory(big_matvec)
 add_subdirectory(nsnet2)
 add_subdirectory(util)
 add_subdirectory(vec_multiply)
+add_subdirectory(tiny_matmul)
diff --git a/runtime/samples/tiny_matmul/CMakeLists.txt b/runtime/samples/tiny_matmul/CMakeLists.txt
new file mode 100644
index 00000000..5e14a445
--- /dev/null
+++ b/runtime/samples/tiny_matmul/CMakeLists.txt
@@ -0,0 +1,11 @@
+quidditch_module(SRC tiny_matmul.mlir ASSERT_XDSL)
+
+add_executable(my_tiny_matmul main.c)
+target_link_libraries(
+    my_tiny_matmul
+    PRIVATE
+    samples_util
+    tiny_matmul
+    snRuntime
+    Quidditch::dispatch::dispatch
+)
diff --git a/runtime/samples/tiny_matmul/main.c b/runtime/samples/tiny_matmul/main.c
new file mode 100644
index 00000000..990a3323
--- /dev/null
+++ b/runtime/samples/tiny_matmul/main.c
@@ -0,0 +1,59 @@
+#include <Quidditch/dispatch/dispatch.h>
+
+#include <tiny_matmul.h>
+#include <tiny_matmul_module.h>
+#include <team_decls.h>
+#include <util/run_model.h>
+
+int main() {
+  iree_alignas(64) double res[9];
+  iree_alignas(64) double data[9];
+  iree_alignas(64) double correct[9] = {30,36,42,66,81,96,102,126,150};
+
+  if (!snrt_is_dm_core()) return quidditch_dispatch_enter_worker_loop();
+
+  // [1, 2, 3, 4, 5, 6, 7, 8, 9]
+  for (int i = 0; i < IREE_ARRAYSIZE(data); i++) {
+    data[i] = (i + 1);
+    res[i]=0;
+  }
+
+  model_config_t config = {
+      .libraries =
+          (iree_hal_executable_library_query_fn_t[]){
+              quidditch_tiny_matmul_dispatch_0_library_query,
+          },
+      .num_libraries = 1,
+      .module_constructor = test_tiny_matmul_create,
+      .main_function = iree_make_cstring_view("test_tiny_matmul.tiny_matmul"),
+
+      .element_type = IREE_HAL_ELEMENT_TYPE_FLOAT_64,
+
+      .num_inputs = 3,
+      .input_data = (const void*[]){data, data, res},
+      .input_sizes = (const iree_host_size_t[]){IREE_ARRAYSIZE(data),
+                                                IREE_ARRAYSIZE(data),
+                                                IREE_ARRAYSIZE(res)},
+      .input_ranks = (const iree_host_size_t[]){2, 2, 2},
+      .input_shapes =
+          (const iree_hal_dim_t*[]){(iree_hal_dim_t[]){3,3},
+                                    (iree_hal_dim_t[]){3,3},
+                                    (iree_hal_dim_t[]){3,3}},
+
+      .num_outputs = 1,
+      .output_data = (void*[]){res},
+      .output_sizes = (const iree_host_size_t[]){IREE_ARRAYSIZE(res)},
+  };
+
+  IREE_CHECK_OK(run_model(&config));
+
+  if (!snrt_is_dm_core()) return 0;
+
+  // check correctness
+  for (int i = 0; i < IREE_ARRAYSIZE(data); i++) {
+    double value = data[i];
+    printf("%f\n", value);
+    if (value != correct[i]) return 1;
+  }
+  return 0;
+}
diff --git a/runtime/samples/tiny_matmul/tiny_matmul.mlir b/runtime/samples/tiny_matmul/tiny_matmul.mlir
new file mode 100644
index 00000000..08f9bf70
--- /dev/null
+++ b/runtime/samples/tiny_matmul/tiny_matmul.mlir
@@ -0,0 +1,9 @@
+builtin.module @test_tiny_matmul {
+  func.func @tiny_matmul(%lhs: tensor<3x3xf64>, %rhs: tensor<3x3xf64>, %acc: tensor<3x3xf64>) -> tensor<3x3xf64> {
+  %result = linalg.matmul // changing linalg.add to linalg.matmul, causes a RESOURCE_EXHAUSTED error
+    ins(%lhs, %rhs: tensor<3x3xf64>, tensor<3x3xf64>)
+    outs(%acc: tensor<3x3xf64>)
+  -> tensor<3x3xf64>
+  return %result: tensor<3x3xf64>
+  }
+}