diff --git a/rapidtide/tests/test_sharedmem.py b/rapidtide/tests/test_sharedmem.py
index 34fad977..4c59fa57 100755
--- a/rapidtide/tests/test_sharedmem.py
+++ b/rapidtide/tests/test_sharedmem.py
@@ -26,40 +26,33 @@ def test_numpy2shared(debug=False):
         if debug:
             print(f"{intype=}, {sourcevector.size=}, {sourcevector.dtype=}")
         for outtype in [np.float32, np.float64]:
+
+            destvector, shm = tide_util.numpy2shared(sourcevector, outtype)
             if debug:
-                print(f"\t{outtype=}")
-            for function in [tide_util.numpy2shared_old, tide_util.numpy2shared_new]:
-                destvector, shm = function(sourcevector, outtype)
-                if debug:
-                    print(f"\t\t{function=}, {destvector.size=}, {destvector.dtype=}")
+                print(f"\t{outtype=}, {destvector.size=}, {destvector.dtype=}")
 
-                # check everything
-                assert destvector.dtype == outtype
-                assert destvector.size == sourcevector.size
-                np.testing.assert_almost_equal(sourcevector, destvector, 3)
+            # check everything
+            assert destvector.dtype == outtype
+            assert destvector.size == sourcevector.size
+            np.testing.assert_almost_equal(sourcevector, destvector, 3)
 
-                # clean up if needed
-                if shm is not None:
-                    tide_util.cleanup_shm_new(shm)
+            # clean up
+            tide_util.cleanup_shm(shm)
 
 
 def test_allocshared(debug=False):
     datashape = (10, 10, 10)
     for outtype in [np.float32, np.float64]:
+        destarray, shm = tide_util.allocshared(datashape, outtype)
         if debug:
-            print(f"{outtype=}")
-        for function in [tide_util.allocshared_old, tide_util.allocshared_new]:
-            destarray, shm = function(datashape, outtype)
-            if debug:
-                print(f"\t{function=}, {destarray.size=}, {destarray.dtype=}")
+            print(f"{outtype=}, {destarray.size=}, {destarray.dtype=}")
 
-            # check everything
-            assert destarray.dtype == outtype
-            assert destarray.size == np.prod(datashape)
+        # check everything
+        assert destarray.dtype == outtype
+        assert destarray.size == np.prod(datashape)
 
-            # clean up if needed
-            if shm is not None:
-                tide_util.cleanup_shm_new(shm)
+        # clean up if needed
+        tide_util.cleanup_shm(shm)
 
 
 if __name__ == "__main__":
diff --git a/rapidtide/util.py b/rapidtide/util.py
index a5787d6d..9b19781c 100644
--- a/rapidtide/util.py
+++ b/rapidtide/util.py
@@ -1003,36 +1003,7 @@ def comparehappyruns(root1, root2, debug=False):
 
 
 # shared memory routines
-def numpy2shared_old(inarray, thetype):
-    thesize = inarray.size
-    theshape = inarray.shape
-    if thetype == np.float64:
-        inarray_shared = RawArray("d", inarray.reshape(thesize))
-    else:
-        inarray_shared = RawArray("f", inarray.reshape(thesize))
-    inarray = np.frombuffer(inarray_shared, dtype=thetype, count=thesize)
-    inarray.shape = theshape
-    return inarray, None
-
-
-def allocshared_old(theshape, thetype):
-    thesize = int(1)
-    if not isinstance(theshape, (list, tuple)):
-        thesize = theshape
-    else:
-        for element in theshape:
-            thesize *= int(element)
-    if thetype == np.float64:
-        outarray_shared = RawArray("d", thesize)
-    else:
-        outarray_shared = RawArray("f", thesize)
-    outarray = np.frombuffer(outarray_shared, dtype=thetype, count=thesize)
-    outarray.shape = theshape
-    return outarray, None
-
-
-# shared memory routines
-def numpy2shared_new(inarray, theouttype):
+def numpy2shared(inarray, theouttype):
     # Create a shared memory block to store the array data
     outnbytes = np.dtype(theouttype).itemsize * inarray.size
     shm = shared_memory.SharedMemory(create=True, size=outnbytes)
@@ -1041,7 +1012,7 @@ def numpy2shared_new(inarray, theouttype):
     return inarray_shared, shm  # Return both the array and the shared memory object
 
 
-def allocshared_new(theshape, thetype):
+def allocshared(theshape, thetype):
     # Calculate size based on shape
     thesize = np.prod(theshape)
     # Determine the data type size
@@ -1052,32 +1023,8 @@ def allocshared_new(theshape, thetype):
     return outarray, shm  # Return both the array and the shared memory object
 
 
-def cleanup_shm_new(shm):
-    # Cleanup
-    shm.close()
-    shm.unlink()
-
-
-newshm = True
-
-
-def numpy2shared(inarray, thetype):
-    if newshm:
-        return numpy2shared_new(inarray, thetype)
-    else:
-        return numpy2shared_old(inarray, thetype)
-
-
-def allocshared(theshape, thetype):
-    if newshm:
-        return allocshared_new(theshape, thetype)
-    else:
-        return allocshared_old(theshape, thetype)
-
-
 def cleanup_shm(shm):
-    if newshm:
-        if shm is not None:
-            cleanup_shm_new(shm)
-    else:
-        return
+    # Cleanup
+    if shm is not None:
+        shm.close()
+        shm.unlink()