Add multi-gpu support for cupy scheme

pycbc/scheme.py

@@ -31,6 +31,7 @@
 from functools import wraps
 import logging
 from .libutils import get_ctypes_library
+from .pool import use_mpi
 
 logger = logging.getLogger('pycbc.scheme')
 
@@ -117,16 +118,40 @@ def __init__(self, device_num=0):
 
 
 class CUPYScheme(Scheme):
-    """Scheme for using CUPY"""
+    """Scheme for using CUPY.
+
+    Supports using CUPY with MPI. If MPI is enabled, will use all available
+    devices. The environment variable `CUDA_VISIBLE_DEVICES` can be used to
+    restrict the devices used.
+
+    Parameters
+    ----------
+    device_num : int, optional
+        The device number to use. If not provided, will use the default, 0.
+        Should not be provided when using MPI to parallelize across devices.
+    """
     def __init__(self, device_num=None):
         import cupy # Fail now if cupy is not there.
         import cupy.cuda
+
+        do_mpi, _, rank = use_mpi(require_mpi=False, log=False)
+
+        if device_num is not None and do_mpi:
+            logger.warning("MPI is enabled, but a device number was provided.")
+
+        if device_num is None and do_mpi:
+            # Logical device numbers will always be 0, 1, 2, ... etc. irrespective
+            # of the physical device numbers.
+            device_num = rank % cupy.cuda.runtime.getDeviceCount()
+            logger.debug("MPI enabled, using CUDA device %s", device_num)
+
         self.device_num = device_num
         self.cuda_device = cupy.cuda.Device(self.device_num)
+
     def __enter__(self):
         super().__enter__()
         self.cuda_device.__enter__()
-        logging.warn(
+        logger.warning(
             "You are using the CUPY GPU backend for PyCBC. This backend is "
             "still only a prototype. It may be useful for your application "
             "but it may fail unexpectedly, run slowly, or not give correct "