diff --git a/src/cpp/cuda.hpp b/src/cpp/cuda.hpp
index 2099a2ed440e7b6bddb7cf6a4775e15d82ef4033..f60bb1d9cd77286b801b2bc7a65b3586e5daf7a0 100644
--- a/src/cpp/cuda.hpp
+++ b/src/cpp/cuda.hpp
@@ -1320,7 +1320,7 @@ namespace pycuda
   {
     CUtexref tr;
     CUDAPP_CALL_GUARDED(cuModuleGetTexRef, (&tr, mod->handle(), name));
-    std::auto_ptr<texture_reference> result(
+    std::unique_ptr<texture_reference> result(
         new texture_reference(tr, false));
     result->set_module(mod);
     return result.release();
@@ -1333,7 +1333,7 @@ namespace pycuda
   {
     CUsurfref sr;
     CUDAPP_CALL_GUARDED(cuModuleGetSurfRef, (&sr, mod->handle(), name));
-    std::auto_ptr<surface_reference> result(
+    std::unique_ptr<surface_reference> result(
         new surface_reference(sr));
     result->set_module(mod);
     return result.release();
@@ -1613,13 +1613,13 @@ namespace pycuda
   };
 
   inline Py_ssize_t mem_alloc_pitch(
-      std::auto_ptr<device_allocation> &da,
+      std::unique_ptr<device_allocation> &da,
         unsigned int width, unsigned int height, unsigned int access_size)
   {
     CUdeviceptr devptr;
     pycuda_size_t pitch;
     CUDAPP_CALL_GUARDED(cuMemAllocPitch, (&devptr, &pitch, width, height, access_size));
-    da = std::auto_ptr<device_allocation>(new device_allocation(devptr));
+    da = std::unique_ptr<device_allocation>(new device_allocation(devptr));
     return pitch;
   }
 
diff --git a/src/cpp/cuda_gl.hpp b/src/cpp/cuda_gl.hpp
index 8f2aa7f0edf6d9fd55e6f047a8ac98b66d0cb26c..04b7dd864a835269a8a9e7aa05cc7ca18a6d0964 100644
--- a/src/cpp/cuda_gl.hpp
+++ b/src/cpp/cuda_gl.hpp
@@ -294,7 +294,7 @@ namespace pycuda { namespace gl {
         CUarray devptr;
         CUDAPP_CALL_GUARDED(cuGraphicsSubResourceGetMappedArray, 
             (&devptr, m_object->resource(), index, level));
-        std::auto_ptr<pycuda::array> result(
+        std::unique_ptr<pycuda::array> result(
             new pycuda::array(devptr, false));
         return result.release();
       }
diff --git a/src/wrapper/mempool.cpp b/src/wrapper/mempool.cpp
index 66f43f7ee0c3f1faf571388278cc4aba242e1bf6..d889d516c5340d77fc06e02ea913700e6ce1e894 100644
--- a/src/wrapper/mempool.cpp
+++ b/src/wrapper/mempool.cpp
@@ -192,7 +192,7 @@ namespace
         py::stl_input_iterator<npy_intp>(),
         back_inserter(dims));
 
-    std::auto_ptr<pooled_host_allocation> alloc(
+    std::unique_ptr<pooled_host_allocation> alloc(
         new pooled_host_allocation(
           pool, tp_descr->elsize*pycuda::size_from_dims(dims.size(), &dims.front())));
 
diff --git a/src/wrapper/wrap_cudadrv.cpp b/src/wrapper/wrap_cudadrv.cpp
index e16d777da48e6fa6b819e075bc5f872b59b47137..457820a6b967e32c051f43f6e27b838ca7a7784a 100644
--- a/src/wrapper/wrap_cudadrv.cpp
+++ b/src/wrapper/wrap_cudadrv.cpp
@@ -118,7 +118,7 @@ namespace
   py::tuple mem_alloc_pitch_wrap(
       size_t width, size_t height, unsigned int access_size)
   {
-    std::auto_ptr<device_allocation> da;
+    std::unique_ptr<device_allocation> da;
     Py_ssize_t pitch = mem_alloc_pitch(
         da, width, height, access_size);
     return py::make_tuple(
@@ -571,7 +571,7 @@ namespace
           py::stl_input_iterator<npy_intp>(),
           back_inserter(dims));
 
-    std::auto_ptr<Allocation> alloc(
+    std::unique_ptr<Allocation> alloc(
         new Allocation(
           tp_descr->elsize*pycuda::size_from_dims(dims.size(), &dims.front()),
           par1)
@@ -612,7 +612,7 @@ namespace
       throw pycuda::error("register_host_memory", CUDA_ERROR_INVALID_VALUE,
           "ary argument is not contiguous");
 
-    std::auto_ptr<registered_host_memory> regmem(
+    std::unique_ptr<registered_host_memory> regmem(
         new registered_host_memory(
           PyArray_DATA(ary.ptr()), PyArray_NBYTES(ary.ptr()), flags, ary));