diff --git a/test/test_linalg.py b/test/test_linalg.py
index 52bdd7b75a87477c6a78804aca2cbbac4ea1535b..f008b586588ba2061206e61d23471d38716fdc4b 100644
--- a/test/test_linalg.py
+++ b/test/test_linalg.py
@@ -532,7 +532,7 @@ def test_image_matrix_mul_ilp(ctx_factory):
     ctx = ctx_factory()
     order = "C"
 
-    n = 9 #get_suitable_size(ctx)
+    n = get_suitable_size(ctx)
 
     knl = lp.make_kernel(ctx.devices[0],
             "{[i,j,k]: 0<=i,j,k<%d}" % n,
@@ -565,41 +565,6 @@ def test_image_matrix_mul_ilp(ctx_factory):
             op_count=[2*n**3/1e9], op_label=["GFlops"],
             parameters={})
 
-def test_image_matrix_mul_ilp_simplified(ctx_factory):
-    dtype = np.float32
-    ctx = ctx_factory()
-    order = "C"
-
-    n = 9 #get_suitable_size(ctx)
-
-    knl = lp.make_kernel(ctx.devices[0],
-            "{[i,j,k]: 0<=i,j,k<%d}" % n,
-            [
-                "c[i, j] = sum(k, a[i, k]*b[k, j])"
-                ],
-            [
-                lp.ImageArg("a", dtype, shape=(n, n)),
-                lp.ImageArg("b", dtype, shape=(n, n)),
-                lp.GlobalArg("c", dtype, shape=(n, n), order=order),
-                ],
-            name="matmul")
-
-    seq_knl = knl
-
-    knl = lp.split_dimension(knl, "j", 4, inner_tag="l.0")
-    knl = lp.split_dimension(knl, "k", 2)
-    knl = lp.add_prefetch(knl, 'b', ["j_inner", "k_inner"])
-
-    kernel_gen = lp.generate_loop_schedules(knl)
-    kernel_gen = lp.check_kernels(kernel_gen, dict(n=n))
-
-    lp.auto_test_vs_ref(seq_knl, ctx, kernel_gen,
-            op_count=[2*n**3/1e9], op_label=["GFlops"],
-            parameters={}, options=["-g"])
-
-
-
-
 
 
 def test_ilp_race_matmul(ctx_factory):