diff --git a/pyVSNR/__init__.py b/pyVSNR/__init__.py
index 42a2a5e..a5b196b 100644
--- a/pyVSNR/__init__.py
+++ b/pyVSNR/__init__.py
@@ -79,9 +79,9 @@ def vsnr2d(img, filters, nite=20, beta=10., nblocks='auto'):
     u0 = img.flatten()
     u = np.zeros_like(u0)
 
-    psis_p = (c_float * len(psis))(*psis)
-    u0_p = (c_float * len(u0))(*u0)
-    u_p = (c_float * len(u))(*u)
+    psis_ = (c_float * len(psis))(*psis)
+    u0_ = (c_float * len(u0))(*u0)
+    u_ = (c_float * len(u))(*u)
 
     # 'auto' nblocks definition
     nblocks_max = get_nblocks()
@@ -92,9 +92,16 @@ def vsnr2d(img, filters, nite=20, beta=10., nblocks='auto'):
 
     # calculation
     vmax = u0.max()
-    get_vsnr2d()(psis_p, length, u0_p, n0, n1, nite, beta, u_p, nblocks, vmax)
+    try:
+        get_vsnr2d()(psis_, length, u0_, n0, n1, nite, beta, u_, nblocks, vmax)
+    except OSError:
+        dir_path = os.path.dirname(os.path.realpath(__file__))
+        msg = '\n!!! Problem when running the cuda libvsnr2d.dll !!!\n'
+        msg += 'You probably need to recompile the .dll\n'
+        msg += f'See the README.txt for compilation instructions in {dir_path}'
+        print(msg)
 
     # reshaping
-    img_corr = np.array(u_p).reshape(n0, n1).astype(float)
+    img_corr = np.array(u_).reshape(n0, n1).astype(float)
 
     return img_corr
diff --git a/setup.cfg b/setup.cfg
index e1fe0fb..05a29d0 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,6 +1,6 @@
 [metadata]
 name = pyVSNR
-version = 1.0.1
+version = 1.0.2
 maintainer = Patrick QUEMERE
 maintainer_email = patrick.quemere@cea.fr
 description = VSNR algorithm for image destripping
diff --git a/setup.py b/setup.py
index 124ee81..2e39595 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name="pyVSNR",
-    version='1.0.0',
+    version='1.0.2',
     license='GPLv3',
     setup_requires=['setuptools_scm'],
     include_package_data=True,