diff --git a/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_atomic_ref_overloads.py b/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_atomic_ref_overloads.py
index 63deb68ff3..57b820e1d2 100644
--- a/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_atomic_ref_overloads.py
+++ b/numba_dpex/experimental/_kernel_dpcpp_spirv_overloads/_atomic_ref_overloads.py
@@ -118,6 +118,36 @@ def _intrinsic_fetch_add(ty_context, ty_atomic_ref, ty_val):
     return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_add")
 
 
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_sub(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_sub")
+
+
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_min(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_min")
+
+
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_max(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_max")
+
+
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_and(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_and")
+
+
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_or(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_or")
+
+
+@intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
+def _intrinsic_fetch_xor(ty_context, ty_atomic_ref, ty_val):
+    return _intrinsic_helper(ty_context, ty_atomic_ref, ty_val, "fetch_xor")
+
+
 @intrinsic(target=DPEX_KERNEL_EXP_TARGET_NAME)
 def _intrinsic_atomic_ref_ctor(
     ty_context, ref, ty_index, ty_retty_ref  # pylint: disable=unused-argument
@@ -294,3 +324,168 @@ def ol_fetch_add_impl(atomic_ref, val):
         return _intrinsic_fetch_add(atomic_ref, val)
 
     return ol_fetch_add_impl
+
+
+@overload_method(AtomicRefType, "fetch_sub", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_sub(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_sub`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_sub` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to sub: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    def ol_fetch_sub_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_sub(atomic_ref, val)
+
+    return ol_fetch_sub_impl
+
+
+@overload_method(AtomicRefType, "fetch_min", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_min(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_min`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_min` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to find min: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    def ol_fetch_min_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_min(atomic_ref, val)
+
+    return ol_fetch_min_impl
+
+
+@overload_method(AtomicRefType, "fetch_max", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_max(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_max`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_max` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to find max: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    def ol_fetch_max_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_max(atomic_ref, val)
+
+    return ol_fetch_max_impl
+
+
+@overload_method(AtomicRefType, "fetch_and", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_and(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_and`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_and` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to and: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    if atomic_ref.dtype not in (types.int32, types.int64):
+        raise errors.TypingError(
+            "fetch_and operation only supported on int32 and int64 dtypes."
+        )
+
+    def ol_fetch_and_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_and(atomic_ref, val)
+
+    return ol_fetch_and_impl
+
+
+@overload_method(AtomicRefType, "fetch_or", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_or(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_or`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_or` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to or: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    if atomic_ref.dtype not in (types.int32, types.int64):
+        raise errors.TypingError(
+            "fetch_or operation only supported on int32 and int64 dtypes."
+        )
+
+    def ol_fetch_or_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_or(atomic_ref, val)
+
+    return ol_fetch_or_impl
+
+
+@overload_method(AtomicRefType, "fetch_xor", target=DPEX_KERNEL_EXP_TARGET_NAME)
+def ol_fetch_xor(atomic_ref, val):
+    """SPIR-V overload for
+    :meth:`numba_dpex.experimental.kernel_iface.AtomicRef.fetch_xor`.
+
+    Generates the same LLVM IR instruction as dpcpp for the
+    `atomic_ref::fetch_xor` function.
+
+    Raises:
+        TypingError: When the dtype of the aggregator value does not match the
+        dtype of the AtomicRef type.
+    """
+    if atomic_ref.dtype != val:
+        raise errors.TypingError(
+            f"Type of value to xor: {val} does not match the type of the "
+            f"reference: {atomic_ref.dtype} stored in the atomic ref."
+        )
+
+    if atomic_ref.dtype not in (types.int32, types.int64):
+        raise errors.TypingError(
+            "fetch_xor operation only supported on int32 and int64 dtypes."
+        )
+
+    def ol_fetch_xor_impl(atomic_ref, val):
+        # pylint: disable=no-value-for-parameter
+        return _intrinsic_fetch_xor(atomic_ref, val)
+
+    return ol_fetch_xor_impl