diff --git a/devito/passes/iet/linearization.py b/devito/passes/iet/linearization.py
index 4336a927cbd..a2f19a44864 100644
--- a/devito/passes/iet/linearization.py
+++ b/devito/passes/iet/linearization.py
@@ -82,8 +82,12 @@ def key1(f, d):
     """
     if f.is_regular:
         # For paddable objects the following holds:
-        # `same dim + same halo => same (auto-)padding`
-        return (d, f._size_halo[d], f.is_autopaddable)
+        # `same dim + same halo + same dtype => same (auto-)padding`
+        # Bundle need the actual function dtype
+        if f.is_Bundle:
+            return (d, f._size_halo[d], f.is_autopaddable, f.c0.dtype)
+        else:
+            return (d, f._size_halo[d], f.is_autopaddable, f.dtype)
     else:
         return False
 
diff --git a/devito/symbolics/printer.py b/devito/symbolics/printer.py
index 9c274b146bd..98d106ae5f0 100644
--- a/devito/symbolics/printer.py
+++ b/devito/symbolics/printer.py
@@ -40,7 +40,7 @@ def compiler(self):
         return self._settings['compiler']
 
     def single_prec(self, expr=None):
-        dtype = sympy_dtype(expr or self)
+        dtype = sympy_dtype(expr) if expr is not None else self.dtype
         return dtype in [np.float32, np.float16]
 
     def parenthesize(self, item, level, strict=False):
diff --git a/docker/Dockerfile.intel b/docker/Dockerfile.intel
index 73db50f7eae..2e2888071f0 100644
--- a/docker/Dockerfile.intel
+++ b/docker/Dockerfile.intel
@@ -60,6 +60,7 @@ RUN apt-get update -y && apt-get dist-upgrade -y && \
             libigc-dev intel-igc-cm libigdfcl-dev libigfxcmrt-dev level-zero-dev
 
 ENV MPI4PY_FLAGS='. /opt/intel/oneapi/setvars.sh intel64 && '
+ENV MPI4PY_RC_RECV_MPROBE=0
 
 ##############################################################
 # ICC image
diff --git a/tests/test_linearize.py b/tests/test_linearize.py
index 088f42f36bc..88ad5ba8164 100644
--- a/tests/test_linearize.py
+++ b/tests/test_linearize.py
@@ -590,3 +590,23 @@ def test_inc_w_default_dims():
     assert f.shape[0]*k._default_value == 35
     assert np.all(g.data[3] == f.shape[0]*k._default_value)
     assert np.all(g.data[4:] == 0)
+
+
+def test_different_dtype():
+    space_order = 4
+
+    grid = Grid(shape=(4, 4))
+
+    f = Function(name='f', grid=grid, space_order=space_order)
+    b = Function(name='b', grid=grid, space_order=space_order, dtype=np.float64)
+
+    f.data[:] = 2.1
+    b.data[:] = 1.3
+
+    eq = Eq(f, b.dx + f.dy)
+
+    op1 = Operator(eq, opt=('advanced', {'linearize': True}))
+
+    # Check generated code has different strides for different dtypes
+    assert "bL0(x,y) b[(x)*y_stride0 + (y)]" in str(op1)
+    assert "L0(x,y) f[(x)*y_stride1 + (y)]" in str(op1)