Completed merge with master

Author: fjwillemsen

doc/source/conf.py

@@ -29,7 +29,7 @@
 # import data from pyproject.toml using https://github.com/sphinx-toolbox/sphinx-pyproject
 # additional data can be added with `[tool.sphinx-pyproject]` and retrieved with `config['']`.
 config = SphinxConfig(
-    "../../pyproject.toml", style="poetry"
+    "../../pyproject.toml",
 )  # add `, globalns=globals()` to directly insert in namespace
 year = time.strftime("%Y")
 startyear = "2016"

kernel_tuner/interface.py

@@ -131,8 +131,8 @@ def __deepcopy__(self, _):
             (
                 """Specifies the language used for GPU kernels. The kernel_tuner
         automatically detects the language, but if it fails, you may specify
-        the language using this argument, currently supported: "CUDA", "Cupy",
-        "OpenCL", "HIP", or "C".""",
+        the language using this argument, currently supported: "CUDA", "CuPy",
+        "nvcuda", "OpenCL", "HIP", or "C".""",
                 "string",
             ),
         ),
@@ -535,7 +535,7 @@ def _get_docstring(opts):
 
 
 _tune_kernel_docstring = (
-    """ Tune a CUDA kernel given a set of tunable parameters
+    """ Tune a GPU kernel given a set of tunable parameters
 
 %s
 

kernel_tuner/util.py

@@ -1190,9 +1190,7 @@ def process_cache(cache, kernel_options, tuning_options, runner):
 
     # if file exists
     else:
-        cached_data = read_cache(
-            cache, not tuning_options.simulation_mode
-        )  # don't open the cache in (parallel) simulation mode to avoid race conditions
+        cached_data = read_cache(cache, open_cache=not tuning_options.simulation_mode)
 
         # if in simulation mode, use the device name from the cache file as the runner device name
         if runner.simulation_mode: