diff --git a/test/test_distributed.py b/test/test_distributed.py
index 802b7e74afeb0c253a0a83cd2e563e54006276d2..34c1b46c3ede7edfa9ed4944d91e1d68a2e7d27b 100644
--- a/test/test_distributed.py
+++ b/test/test_distributed.py
@@ -255,6 +255,42 @@ def test_dag_with_no_comm_nodes():
 # }}}
 
 
+# {{{ test DAG with duplicated output arrays
+
+def _test_dag_with_duplicated_output_arrays_inner(ctx_factory):
+    from numpy.random import default_rng
+    from mpi4py import MPI  # pylint: disable=import-error
+    comm = MPI.COMM_WORLD
+    ctx = ctx_factory()
+    queue = cl.CommandQueue(ctx)
+
+    rng = default_rng()
+    x_np = rng.random((10, 4))
+    x = pt.make_data_wrapper(x_np)
+
+    # {{{ construct the DAG
+
+    y = 2 * x
+    out = 4 * y
+    dag = pt.make_dict_of_named_arrays({"out1": out, "out2": out})
+
+    # }}}
+
+    parts = pt.find_distributed_partition(comm, dag)
+    prg_per_partition = pt.generate_code_for_partition(parts)
+    out_dict = pt.execute_distributed_partition(
+            parts, prg_per_partition, queue, comm)
+
+    np.testing.assert_allclose(out_dict["out1"], 8 * x_np)
+    np.testing.assert_allclose(out_dict["out2"], 8 * x_np)
+
+
+def test_dag_with_duplicated_output_arrays():
+    run_test_with_mpi(2, _test_dag_with_duplicated_output_arrays_inner)
+
+# }}}
+
+
 # {{{ test deterministic partitioning
 
 def _gather_random_dist_partitions(ctx_factory):