diff --git a/python/taichi/linalg/__init__.py b/python/taichi/linalg/__init__.py
index 3c49063c11a2a..c4e28878b1b59 100644
--- a/python/taichi/linalg/__init__.py
+++ b/python/taichi/linalg/__init__.py
@@ -1,6 +1,6 @@
 """Taichi support module for sparse matrix operations.
 """
-from taichi.linalg.cg import CG
+from taichi.linalg.sparse_cg import SparseCG
 from taichi.linalg.sparse_matrix import *
 from taichi.linalg.sparse_solver import SparseSolver
 from taichi.linalg.matrixfree_cg import *
diff --git a/python/taichi/linalg/cg.py b/python/taichi/linalg/sparse_cg.py
similarity index 99%
rename from python/taichi/linalg/cg.py
rename to python/taichi/linalg/sparse_cg.py
index 21973641e4db3..fc0611fbff660 100644
--- a/python/taichi/linalg/cg.py
+++ b/python/taichi/linalg/sparse_cg.py
@@ -6,7 +6,7 @@
 from taichi.types import f32, f64
 
 
-class CG:
+class SparseCG:
     def __init__(self, A, b, x0=None, max_iter=50, atol=1e-6):
         self.dtype = A.dtype
         self.ti_arch = get_runtime().prog.config().arch
diff --git a/tests/python/test_cg.py b/tests/python/test_sparse_cg.py
similarity index 93%
rename from tests/python/test_cg.py
rename to tests/python/test_sparse_cg.py
index bd0eb38445f20..ad6afa4c071f4 100644
--- a/tests/python/test_cg.py
+++ b/tests/python/test_sparse_cg.py
@@ -28,7 +28,7 @@ def fill(
 
     fill(Abuilder, A_psd, b)
     A = Abuilder.build(dtype=ti_dtype)
-    cg = ti.linalg.CG(A, b, x0, max_iter=50, atol=1e-6)
+    cg = ti.linalg.SparseCG(A, b, x0, max_iter=50, atol=1e-6)
     x, exit_code = cg.solve()
     res = np.linalg.solve(A_psd, b.to_numpy())
     assert exit_code == True
@@ -59,7 +59,7 @@ def fill(
 
     fill(Abuilder, A_psd, b)
     A = Abuilder.build(dtype=ti_dtype)
-    cg = ti.linalg.CG(A, b, x0, max_iter=50, atol=1e-6)
+    cg = ti.linalg.SparseCG(A, b, x0, max_iter=50, atol=1e-6)
     x, exit_code = cg.solve()
     res = np.linalg.solve(A_psd, b.to_numpy())
     assert exit_code == True