diff --git a/benchmarks/cugraph/standalone/cugraph_dask_funcs.py b/benchmarks/cugraph/standalone/cugraph_dask_funcs.py
index e8f2c3a62bb..f31e5065cde 100644
--- a/benchmarks/cugraph/standalone/cugraph_dask_funcs.py
+++ b/benchmarks/cugraph/standalone/cugraph_dask_funcs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -44,7 +44,7 @@ def read_csv(input_csv_file, scale):
     chunksize = cugraph.dask.get_chunksize(input_csv_file)
     return dask_cudf.read_csv(
         input_csv_file,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         # names=names,
         dtype=dtypes,
diff --git a/benchmarks/cugraph/standalone/cugraph_funcs.py b/benchmarks/cugraph/standalone/cugraph_funcs.py
index d53471fa828..10b23455670 100644
--- a/benchmarks/cugraph/standalone/cugraph_funcs.py
+++ b/benchmarks/cugraph/standalone/cugraph_funcs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -75,10 +75,8 @@ def read_csv(input_csv_file, scale):
     dtypes = [vertex_t, vertex_t, "float32"]
     names = (["src", "dst", "weight"],)
 
-    chunksize = cugraph.dask.get_chunksize(input_csv_file)
     return cudf.read_csv(
         input_csv_file,
-        chunksize=chunksize,
         delimiter=" ",
         # names=names,
         dtype=dtypes,
diff --git a/docs/cugraph/source/api_docs/cugraph/dask-cugraph.rst b/docs/cugraph/source/api_docs/cugraph/dask-cugraph.rst
index d9ba3f3a792..f5132dd658c 100644
--- a/docs/cugraph/source/api_docs/cugraph/dask-cugraph.rst
+++ b/docs/cugraph/source/api_docs/cugraph/dask-cugraph.rst
@@ -54,7 +54,7 @@ Example
     # multi-GPU CSV reader
     e_list = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         names=['src', 'dst'],
         dtype=['int32', 'int32'],
     )
diff --git a/python/cugraph/cugraph/dask/centrality/betweenness_centrality.py b/python/cugraph/cugraph/dask/centrality/betweenness_centrality.py
index 6aa708ea585..43891f487c1 100644
--- a/python/cugraph/cugraph/dask/centrality/betweenness_centrality.py
+++ b/python/cugraph/cugraph/dask/centrality/betweenness_centrality.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -204,7 +204,7 @@ def betweenness_centrality(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
@@ -362,7 +362,7 @@ def edge_betweenness_centrality(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/dask/centrality/eigenvector_centrality.py b/python/cugraph/cugraph/dask/centrality/eigenvector_centrality.py
index 0dcd2b38546..7dfe3df7030 100644
--- a/python/cugraph/cugraph/dask/centrality/eigenvector_centrality.py
+++ b/python/cugraph/cugraph/dask/centrality/eigenvector_centrality.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -104,7 +104,7 @@ def eigenvector_centrality(input_graph, max_iter=100, tol=1.0e-6):
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph()
diff --git a/python/cugraph/cugraph/dask/centrality/katz_centrality.py b/python/cugraph/cugraph/dask/centrality/katz_centrality.py
index 3891c04f5aa..a11be3b6870 100644
--- a/python/cugraph/cugraph/dask/centrality/katz_centrality.py
+++ b/python/cugraph/cugraph/dask/centrality/katz_centrality.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -133,7 +133,7 @@ def katz_centrality(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/dask/community/leiden.py b/python/cugraph/cugraph/dask/community/leiden.py
index 24a077d1845..bdcf9edc7bb 100644
--- a/python/cugraph/cugraph/dask/community/leiden.py
+++ b/python/cugraph/cugraph/dask/community/leiden.py
@@ -132,7 +132,7 @@ def leiden(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph()
diff --git a/python/cugraph/cugraph/dask/community/louvain.py b/python/cugraph/cugraph/dask/community/louvain.py
index 2d894d9665f..8ad3e6c2cf3 100644
--- a/python/cugraph/cugraph/dask/community/louvain.py
+++ b/python/cugraph/cugraph/dask/community/louvain.py
@@ -136,7 +136,7 @@ def louvain(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph()
diff --git a/python/cugraph/cugraph/dask/components/connectivity.py b/python/cugraph/cugraph/dask/components/connectivity.py
index 7adaa2cd509..5a92fe004ee 100644
--- a/python/cugraph/cugraph/dask/components/connectivity.py
+++ b/python/cugraph/cugraph/dask/components/connectivity.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -78,7 +78,7 @@ def weakly_connected_components(input_graph):
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=False)
diff --git a/python/cugraph/cugraph/dask/cores/k_core.py b/python/cugraph/cugraph/dask/cores/k_core.py
index 4cc1ffc9f9b..0d799e3ee06 100644
--- a/python/cugraph/cugraph/dask/cores/k_core.py
+++ b/python/cugraph/cugraph/dask/cores/k_core.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -109,7 +109,7 @@ def k_core(input_graph, k=None, core_number=None, degree_type="bidirectional"):
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=False)
diff --git a/python/cugraph/cugraph/dask/link_analysis/hits.py b/python/cugraph/cugraph/dask/link_analysis/hits.py
index 3de69e1518b..13357ebb996 100644
--- a/python/cugraph/cugraph/dask/link_analysis/hits.py
+++ b/python/cugraph/cugraph/dask/link_analysis/hits.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -118,7 +118,7 @@ def hits(input_graph, tol=1.0e-5, max_iter=100, nstart=None, normalized=True):
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/dask/link_analysis/pagerank.py b/python/cugraph/cugraph/dask/link_analysis/pagerank.py
index 62ae9109624..4b592a2583c 100644
--- a/python/cugraph/cugraph/dask/link_analysis/pagerank.py
+++ b/python/cugraph/cugraph/dask/link_analysis/pagerank.py
@@ -295,7 +295,7 @@ def pagerank(
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/dask/traversal/bfs.py b/python/cugraph/cugraph/dask/traversal/bfs.py
index 412fd851ad6..f1b26472ee0 100644
--- a/python/cugraph/cugraph/dask/traversal/bfs.py
+++ b/python/cugraph/cugraph/dask/traversal/bfs.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2023, NVIDIA CORPORATION.
+# Copyright (c) 2019-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -106,7 +106,7 @@ def bfs(input_graph, start, depth_limit=None, return_distances=True, check_start
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/dask/traversal/sssp.py b/python/cugraph/cugraph/dask/traversal/sssp.py
index 053a93fb42a..04c4376a500 100644
--- a/python/cugraph/cugraph/dask/traversal/sssp.py
+++ b/python/cugraph/cugraph/dask/traversal/sssp.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2023, NVIDIA CORPORATION.
+# Copyright (c) 2019-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -89,7 +89,7 @@ def sssp(input_graph, source, cutoff=None, check_source=True):
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> chunksize = dcg.get_chunksize(datasets_path / "karate.csv")
     >>> ddf = dask_cudf.read_csv(datasets_path / "karate.csv",
-    ...                          chunksize=chunksize, delimiter=" ",
+    ...                          blocksize=chunksize, delimiter=" ",
     ...                          names=["src", "dst", "value"],
     ...                          dtype=["int32", "int32", "float32"])
     >>> dg = cugraph.Graph(directed=True)
diff --git a/python/cugraph/cugraph/structure/symmetrize.py b/python/cugraph/cugraph/structure/symmetrize.py
index 30c6394ade9..28e2932d17a 100644
--- a/python/cugraph/cugraph/structure/symmetrize.py
+++ b/python/cugraph/cugraph/structure/symmetrize.py
@@ -159,7 +159,7 @@ def symmetrize_ddf(
     >>> # Init a DASK Cluster
     >>> # Download dataset from https://github.com/rapidsai/cugraph/datasets/..
     >>> # chunksize = dcg.get_chunksize(datasets / 'karate.csv')
-    >>> # ddf = dask_cudf.read_csv(datasets/'karate.csv', chunksize=chunksize,
+    >>> # ddf = dask_cudf.read_csv(datasets/'karate.csv', blocksize=chunksize,
     >>> #                          delimiter=' ',
     >>> #                          names=['src', 'dst', 'weight'],
     >>> #                          dtype=['int32', 'int32', 'float32'])
diff --git a/python/cugraph/cugraph/testing/utils.py b/python/cugraph/cugraph/testing/utils.py
index 6d58076e6fe..82bbfe0ecac 100644
--- a/python/cugraph/cugraph/testing/utils.py
+++ b/python/cugraph/cugraph/testing/utils.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -245,7 +245,7 @@ def read_dask_cudf_csv_file(csv_file, read_weights_in_sp=True, single_partition=
             chunksize = os.path.getsize(csv_file)
             return dask_cudf.read_csv(
                 csv_file,
-                chunksize=chunksize,
+                blocksize=chunksize,
                 delimiter=" ",
                 names=["src", "dst", "weight"],
                 dtype=["int32", "int32", "float32"],
@@ -264,7 +264,7 @@ def read_dask_cudf_csv_file(csv_file, read_weights_in_sp=True, single_partition=
             chunksize = os.path.getsize(csv_file)
             return dask_cudf.read_csv(
                 csv_file,
-                chunksize=chunksize,
+                blocksize=chunksize,
                 delimiter=" ",
                 names=["src", "dst", "weight"],
                 dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/comms/test_comms_mg.py b/python/cugraph/cugraph/tests/comms/test_comms_mg.py
index 747ef935e01..75462924c9d 100644
--- a/python/cugraph/cugraph/tests/comms/test_comms_mg.py
+++ b/python/cugraph/cugraph/tests/comms/test_comms_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -53,7 +53,7 @@ def test_dask_mg_pagerank(dask_client, directed):
 
     ddf1 = dask_cudf.read_csv(
         input_data_path1,
-        chunksize=chunksize1,
+        blocksize=chunksize1,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -66,7 +66,7 @@ def test_dask_mg_pagerank(dask_client, directed):
 
     ddf2 = dask_cudf.read_csv(
         input_data_path2,
-        chunksize=chunksize2,
+        blocksize=chunksize2,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/community/test_leiden_mg.py b/python/cugraph/cugraph/tests/community/test_leiden_mg.py
index 69fccdae260..b1908ae10a2 100644
--- a/python/cugraph/cugraph/tests/community/test_leiden_mg.py
+++ b/python/cugraph/cugraph/tests/community/test_leiden_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -67,7 +67,7 @@ def daskGraphFromDataset(request, dask_client):
     chunksize = dcg.get_chunksize(dataset)
     ddf = dask_cudf.read_csv(
         dataset,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -96,7 +96,7 @@ def uddaskGraphFromDataset(request, dask_client):
     chunksize = dcg.get_chunksize(dataset)
     ddf = dask_cudf.read_csv(
         dataset,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/community/test_louvain_mg.py b/python/cugraph/cugraph/tests/community/test_louvain_mg.py
index 5318262fe26..19fffe96b5c 100644
--- a/python/cugraph/cugraph/tests/community/test_louvain_mg.py
+++ b/python/cugraph/cugraph/tests/community/test_louvain_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -67,7 +67,7 @@ def daskGraphFromDataset(request, dask_client):
     chunksize = dcg.get_chunksize(dataset)
     ddf = dask_cudf.read_csv(
         dataset,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -96,7 +96,7 @@ def uddaskGraphFromDataset(request, dask_client):
     chunksize = dcg.get_chunksize(dataset)
     ddf = dask_cudf.read_csv(
         dataset,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/community/test_triangle_count_mg.py b/python/cugraph/cugraph/tests/community/test_triangle_count_mg.py
index 0f7bb14581f..0a052845cf8 100644
--- a/python/cugraph/cugraph/tests/community/test_triangle_count_mg.py
+++ b/python/cugraph/cugraph/tests/community/test_triangle_count_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -88,7 +88,7 @@ def input_expected_output(dask_client, input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/components/test_connectivity_mg.py b/python/cugraph/cugraph/tests/components/test_connectivity_mg.py
index 217c9f0f09f..26e8ed17bcb 100644
--- a/python/cugraph/cugraph/tests/components/test_connectivity_mg.py
+++ b/python/cugraph/cugraph/tests/components/test_connectivity_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -48,7 +48,7 @@ def test_dask_mg_wcc(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/core/test_core_number_mg.py b/python/cugraph/cugraph/tests/core/test_core_number_mg.py
index 23214b5f51b..f771ce513eb 100644
--- a/python/cugraph/cugraph/tests/core/test_core_number_mg.py
+++ b/python/cugraph/cugraph/tests/core/test_core_number_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -78,7 +78,7 @@ def input_expected_output(dask_client, input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -143,7 +143,7 @@ def test_core_number_invalid_input(input_expected_output):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/core/test_k_core_mg.py b/python/cugraph/cugraph/tests/core/test_k_core_mg.py
index 32c4f4553a2..b2ac18cf3a9 100644
--- a/python/cugraph/cugraph/tests/core/test_k_core_mg.py
+++ b/python/cugraph/cugraph/tests/core/test_k_core_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2023, NVIDIA CORPORATION.
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -98,7 +98,7 @@ def input_expected_output(dask_client, input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -164,7 +164,7 @@ def test_dask_mg_k_core_invalid_input(dask_client):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/data_store/test_property_graph_mg.py b/python/cugraph/cugraph/tests/data_store/test_property_graph_mg.py
index dd48fc72e36..db4ab0a2ac1 100644
--- a/python/cugraph/cugraph/tests/data_store/test_property_graph_mg.py
+++ b/python/cugraph/cugraph/tests/data_store/test_property_graph_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -372,7 +372,7 @@ def net_MGPropertyGraph(dask_client):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/internals/test_renumber_mg.py b/python/cugraph/cugraph/tests/internals/test_renumber_mg.py
index e9521f16594..45a3c46309d 100644
--- a/python/cugraph/cugraph/tests/internals/test_renumber_mg.py
+++ b/python/cugraph/cugraph/tests/internals/test_renumber_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2023, NVIDIA CORPORATION.
+# Copyright (c) 2019-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -140,7 +140,7 @@ def test_dask_mg_pagerank(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/link_analysis/test_hits_mg.py b/python/cugraph/cugraph/tests/link_analysis/test_hits_mg.py
index 73ec13c674c..6e68059bcc7 100644
--- a/python/cugraph/cugraph/tests/link_analysis/test_hits_mg.py
+++ b/python/cugraph/cugraph/tests/link_analysis/test_hits_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -81,7 +81,7 @@ def input_expected_output(input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -162,7 +162,7 @@ def test_dask_mg_hits_transposed_false(dask_client):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/link_analysis/test_pagerank_mg.py b/python/cugraph/cugraph/tests/link_analysis/test_pagerank_mg.py
index 63dbf31ca5e..c65863aefb4 100644
--- a/python/cugraph/cugraph/tests/link_analysis/test_pagerank_mg.py
+++ b/python/cugraph/cugraph/tests/link_analysis/test_pagerank_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -55,7 +55,7 @@ def create_distributed_karate_graph(store_transposed=True):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -103,7 +103,7 @@ def test_dask_mg_pagerank(
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -184,7 +184,7 @@ def test_pagerank_invalid_personalization_dtype(dask_client):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/link_prediction/test_jaccard_mg.py b/python/cugraph/cugraph/tests/link_prediction/test_jaccard_mg.py
index ee739c9f236..98f64906564 100644
--- a/python/cugraph/cugraph/tests/link_prediction/test_jaccard_mg.py
+++ b/python/cugraph/cugraph/tests/link_prediction/test_jaccard_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -102,7 +102,7 @@ def input_expected_output(input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/link_prediction/test_overlap_mg.py b/python/cugraph/cugraph/tests/link_prediction/test_overlap_mg.py
index 87407d7b59c..9afe7dd842f 100644
--- a/python/cugraph/cugraph/tests/link_prediction/test_overlap_mg.py
+++ b/python/cugraph/cugraph/tests/link_prediction/test_overlap_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -102,7 +102,7 @@ def input_expected_output(input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/link_prediction/test_sorensen_mg.py b/python/cugraph/cugraph/tests/link_prediction/test_sorensen_mg.py
index 66832d08427..6c24fa5af13 100644
--- a/python/cugraph/cugraph/tests/link_prediction/test_sorensen_mg.py
+++ b/python/cugraph/cugraph/tests/link_prediction/test_sorensen_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -103,7 +103,7 @@ def input_expected_output(input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/sampling/test_egonet_mg.py b/python/cugraph/cugraph/tests/sampling/test_egonet_mg.py
index e2f77700958..9bc4caf0e8e 100644
--- a/python/cugraph/cugraph/tests/sampling/test_egonet_mg.py
+++ b/python/cugraph/cugraph/tests/sampling/test_egonet_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -90,7 +90,7 @@ def input_expected_output(input_combo):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py b/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py
index 03658c7a06e..29c15a7d7c6 100644
--- a/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py
+++ b/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -182,7 +182,7 @@ def input_graph(request):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/sampling/test_uniform_neighbor_sample_mg.py b/python/cugraph/cugraph/tests/sampling/test_uniform_neighbor_sample_mg.py
index 32413d3c88d..c65535f98a2 100644
--- a/python/cugraph/cugraph/tests/sampling/test_uniform_neighbor_sample_mg.py
+++ b/python/cugraph/cugraph/tests/sampling/test_uniform_neighbor_sample_mg.py
@@ -87,7 +87,7 @@ def input_combo(request):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", indices_type],
@@ -224,7 +224,7 @@ def test_mg_uniform_neighbor_sample_tree(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -1256,7 +1256,7 @@ def bench_uniform_neighbor_sample_email_eu_core(gpubenchmark, dask_client, n_sam
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "int32"],
diff --git a/python/cugraph/cugraph/tests/structure/test_graph.py b/python/cugraph/cugraph/tests/structure/test_graph.py
index de306309ca4..c0524fcfe77 100644
--- a/python/cugraph/cugraph/tests/structure/test_graph.py
+++ b/python/cugraph/cugraph/tests/structure/test_graph.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2019-2023, NVIDIA CORPORATION.
+# Copyright (c) 2019-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -386,7 +386,7 @@ def test_consolidation(graph_file):
 
     ddf = dask_cudf.read_csv(
         graph_file,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["source", "target", "weight"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/structure/test_graph_mg.py b/python/cugraph/cugraph/tests/structure/test_graph_mg.py
index 7837916ae53..f23d4ec026d 100644
--- a/python/cugraph/cugraph/tests/structure/test_graph_mg.py
+++ b/python/cugraph/cugraph/tests/structure/test_graph_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2022-2023, NVIDIA CORPORATION.
+# Copyright (c) 2022-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -68,7 +68,7 @@ def input_combo(request):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -285,7 +285,7 @@ def test_graph_repartition(dask_client):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/traversal/test_bfs_mg.py b/python/cugraph/cugraph/tests/traversal/test_bfs_mg.py
index 5eafc231141..62deb581d6d 100644
--- a/python/cugraph/cugraph/tests/traversal/test_bfs_mg.py
+++ b/python/cugraph/cugraph/tests/traversal/test_bfs_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -48,7 +48,7 @@ def test_dask_mg_bfs(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -114,7 +114,7 @@ def test_dask_mg_bfs_invalid_start(dask_client, directed):
 
     el = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
@@ -150,7 +150,7 @@ def test_dask_mg_bfs_multi_column_depthlimit(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src_a", "dst_a", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/traversal/test_sssp_mg.py b/python/cugraph/cugraph/tests/traversal/test_sssp_mg.py
index 55bd320c2f1..9877a127700 100644
--- a/python/cugraph/cugraph/tests/traversal/test_sssp_mg.py
+++ b/python/cugraph/cugraph/tests/traversal/test_sssp_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -47,7 +47,7 @@ def test_dask_mg_sssp(dask_client, directed):
 
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],
diff --git a/python/cugraph/cugraph/tests/utils/test_utils_mg.py b/python/cugraph/cugraph/tests/utils/test_utils_mg.py
index 23ff17aa00b..2945b216384 100644
--- a/python/cugraph/cugraph/tests/utils/test_utils_mg.py
+++ b/python/cugraph/cugraph/tests/utils/test_utils_mg.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2018-2023, NVIDIA CORPORATION.
+# Copyright (c) 2018-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -50,7 +50,7 @@ def test_from_edgelist(dask_client, directed):
     chunksize = dcg.get_chunksize(input_data_path)
     ddf = dask_cudf.read_csv(
         input_data_path,
-        chunksize=chunksize,
+        blocksize=chunksize,
         delimiter=" ",
         names=["src", "dst", "value"],
         dtype=["int32", "int32", "float32"],