diff --git a/src/wrapper/mempool.cpp b/src/wrapper/mempool.cpp
index 918d3d0d5ca9e166ef04937c9963fd512d1e5bfa..f4088cbd961576b47571fb053c22c8c1f4f04900 100644
--- a/src/wrapper/mempool.cpp
+++ b/src/wrapper/mempool.cpp
@@ -102,7 +102,7 @@ namespace
 
 
   template<class Allocator>
-  class context_dependent_memory_pool : 
+  class context_dependent_memory_pool :
     public pycuda::memory_pool<Allocator>,
     public pycuda::explicit_context_dependent
   {
@@ -117,12 +117,13 @@ namespace
 
 
 
-  class pooled_device_allocation 
-    : public pycuda::context_dependent, 
-    public pycuda::pooled_allocation<context_dependent_memory_pool<device_allocator> >
-  { 
+  class pooled_device_allocation
+    : public pycuda::context_dependent,
+    public pycuda::pooled_allocation<context_dependent_memory_pool<device_allocator> >,
+    public pycuda::pointer_holder_base
+  {
     private:
-      typedef 
+      typedef
         pycuda::pooled_allocation<context_dependent_memory_pool<device_allocator> >
         super;
 
@@ -132,7 +133,7 @@ namespace
         : super(p, s)
       { }
 
-      operator CUdeviceptr()
+      virtual CUdeviceptr get_pointer() const
       { return ptr(); }
   };
 
@@ -149,22 +150,11 @@ namespace
 
 
 
-  PyObject *pooled_device_allocation_to_long(pooled_device_allocation const &da)
-  {
-#if defined(_WIN32) && defined(_WIN64)
-    return PyLong_FromUnsignedLongLong(da.ptr());
-#else
-    return PyLong_FromUnsignedLong(da.ptr());
-#endif
-  }
-
-
-  
-  class pooled_host_allocation 
+  class pooled_host_allocation
     : public pycuda::pooled_allocation<pycuda::memory_pool<host_allocator> >
   {
     private:
-      typedef 
+      typedef
         pycuda::pooled_allocation<pycuda::memory_pool<host_allocator> >
         super;
 
@@ -193,7 +183,7 @@ namespace
         back_inserter(dims));
 
     std::auto_ptr<pooled_host_allocation> alloc(
-        new pooled_host_allocation( 
+        new pooled_host_allocation(
           pool, tp_descr->elsize*pycuda::size_from_dims(dims.size(), &dims.front())));
 
     NPY_ORDER order = PyArray_CORDER;
@@ -249,7 +239,7 @@ void pycuda_expose_tools()
     typedef context_dependent_memory_pool<device_allocator> cl;
 
     py::class_<
-      cl, boost::noncopyable, 
+      cl, boost::noncopyable,
       boost::shared_ptr<cl> > wrapper("DeviceMemoryPool");
     wrapper
       .def("allocate", device_pool_allocate,
@@ -269,7 +259,7 @@ void pycuda_expose_tools()
     typedef pycuda::memory_pool<host_allocator> cl;
 
     py::class_<
-      cl, boost::noncopyable, 
+      cl, boost::noncopyable,
       boost::shared_ptr<cl> > wrapper(
           "PageLockedMemoryPool",
           py::init<py::optional<host_allocator const &> >()
@@ -284,12 +274,9 @@ void pycuda_expose_tools()
 
   {
     typedef pooled_device_allocation cl;
-    py::class_<cl, boost::noncopyable>(
+    py::class_<cl, boost::noncopyable, py::bases<pointer_holder_base> >(
         "PooledDeviceAllocation", py::no_init)
       .DEF_SIMPLE_METHOD(free)
-      .def("__int__", &cl::ptr)
-      .def("__long__", pooled_device_allocation_to_long)
-      .def("__index__", pooled_device_allocation_to_long)
       .def("__len__", &cl::size)
       ;