paraview: update cuda_arch management (#44243)

* refactor logic to switch to cmake for cuda management

var/spack/repos/builtin/packages/paraview/package.py

@@ -144,6 +144,40 @@ class Paraview(CMakePackage, CudaPackage, ROCmPackage):
         msg="Use paraview@5.9.0 with %xl_r. Earlier versions are not able to build with xl.",
     )
 
+    # CUDA ARCH
+
+    # This is (more or less) the mapping hard-coded in VTK-m logic
+    # see https://gitlab.kitware.com/vtk/vtk-m/-/blob/v2.1.0/CMake/VTKmDeviceAdapters.cmake?ref_type=tags#L221-247
+    supported_cuda_archs = {
+        "20": "fermi",
+        "21": "fermi",
+        "30": "kepler",
+        "32": "kepler",
+        "35": "kepler",
+        "37": "kepler",
+        "50": "maxwel",
+        "52": "maxwel",
+        "53": "maxwel",
+        "60": "pascal",
+        "61": "pascal",
+        "62": "pascal",
+        "70": "volta",
+        "72": "volta",
+        "75": "turing",
+        "80": "ampere",
+        "86": "ampere",
+    }
+
+    # VTK-m and transitively ParaView does not support Tesla Arch
+    for _arch in range(10, 14):
+        conflicts(f"cuda_arch={_arch}", when="+cuda", msg="ParaView requires cuda_arch >= 20")
+
+    # Starting from cmake@3.18, CUDA architecture managament can be delegated to CMake.
+    # Hence, it is possible to rely on it instead of relying on custom logic updates from VTK-m for
+    # newer architectures (wrt mapping).
+    for _arch in [arch for arch in CudaPackage.cuda_arch_values if int(arch) > 86]:
+        conflicts("cmake@:3.17", when=f"cuda_arch={_arch}")
+
     # We only support one single Architecture
     for _arch, _other_arch in itertools.permutations(CudaPackage.cuda_arch_values, 2):
         conflicts(
@@ -152,9 +186,6 @@ class Paraview(CMakePackage, CudaPackage, ROCmPackage):
             msg="Paraview only accepts one architecture value",
         )
 
-    for _arch in range(10, 14):
-        conflicts("cuda_arch=%d" % _arch, when="+cuda", msg="ParaView requires cuda_arch >= 20")
-
     depends_on("cmake@3.3:", type="build")
     depends_on("cmake@3.21:", type="build", when="+rocm")
 
@@ -577,36 +608,23 @@ def use_x11():
 
         # VTK-m expects cuda_arch to be the arch name vs. the arch version.
         if spec.satisfies("+cuda"):
-            supported_cuda_archs = {
+            if spec["cmake"].satisfies("@3.18:"):
-                # VTK-m and transitively ParaView does not support Tesla Arch
+                cmake_args.append(
-                "20": "fermi",
+                    self.define(
-                "21": "fermi",
+                        "CMAKE_CUDA_ARCHITECTURES", ";".join(spec.variants["cuda_arch"].value)
-                "30": "kepler",
+                    )
-                "32": "kepler",
+                )
-                "35": "kepler",
+            else:
-                "37": "kepler",
-                "50": "maxwel",
-                "52": "maxwel",
-                "53": "maxwel",
-                "60": "pascal",
-                "61": "pascal",
-                "62": "pascal",
-                "70": "volta",
-                "72": "volta",
-                "75": "turing",
-                "80": "ampere",
-                "86": "ampere",
-            }
-
-            cuda_arch_value = "native"
-            requested_arch = spec.variants["cuda_arch"].value
-
                 # ParaView/VTK-m only accepts one arch, default to first element
-            if requested_arch[0] != "none":
+                requested_arch = spec.variants["cuda_arch"].value[0]
+
+                if requested_arch == "none":
+                    cuda_arch_value = "native"
+                else:
                     try:
-                    cuda_arch_value = supported_cuda_archs[requested_arch[0]]
+                        cuda_arch_value = supported_cuda_archs[requested_arch]
                     except KeyError:
-                    raise InstallError("Incompatible cuda_arch=" + requested_arch[0])
+                        raise InstallError("Incompatible cuda_arch=" + requested_arch)
 
                 cmake_args.append(self.define("VTKm_CUDA_Architecture", cuda_arch_value))