Assigning Deterministic rank to Dask Workers Based on CUDA_VISIBLE_DEVICES (branch-23.06)

python/raft-dask/raft_dask/common/comms.py

@@ -14,12 +14,14 @@
 #
 
 import logging
+import os
 import time
 import uuid
 import warnings
-from collections import OrderedDict
+from collections import Counter, OrderedDict
 
 from dask.distributed import default_client
+from dask_cuda.utils import nvml_device_index
 
 from pylibraft.common.handle import Handle
 
@@ -155,7 +157,7 @@ def worker_info(self, workers):
         Builds a dictionary of { (worker_address, worker_port) :
                                 (worker_rank, worker_port ) }
         """
-        ranks = _func_worker_ranks(workers)
+        ranks = _func_worker_ranks(self.client)
         ports = (
             _func_ucp_ports(self.client, workers) if self.comms_p2p else None
         )
@@ -686,8 +688,75 @@ def _func_ucp_ports(client, workers):
     return client.run(_func_ucp_listener_port, workers=workers)
 
 
-def _func_worker_ranks(workers):
+def _func_worker_ranks(client):
     """
-    Builds a dictionary of { (worker_address, worker_port) : worker_rank }
+    For each worker connected to the client,
+    compute a global rank which is the sum
+    of the NVML device index and the worker rank offset.
+
+    Parameters
+    ----------
+        client (object): Dask client object.
+    """
+    ranks = client.run(_get_nvml_device_index)
+    worker_ips = [_get_worker_ip(worker_address) for worker_address in ranks]
+    worker_ip_offset_dict = _get_rank_offset_across_nodes(worker_ips)
+    return _append_rank_offset(ranks, worker_ip_offset_dict)
+
+
+def _get_nvml_device_index():
+    """
+    Return NVML device index based on environment variable
+    'CUDA_VISIBLE_DEVICES'.
+    """
+    CUDA_VISIBLE_DEVICES = os.getenv("CUDA_VISIBLE_DEVICES")
+    return nvml_device_index(0, CUDA_VISIBLE_DEVICES)
+
+
+def _get_worker_ip(worker_address):
+    """
+    Extract the worker IP address from the worker address string.
+
+    Parameters
+    ----------
+        worker_address (str): Full address string of the worker
+    """
+    return ":".join(worker_address.split(":")[0:2])
+
+
+def _get_rank_offset_across_nodes(worker_ips):
+    """
+    Get a dictionary of worker IP addresses mapped to the cumulative count of
+    their occurrences in the worker_ips list. The cumulative count serves as
+    the rank offset.
+
+    Parameters
+    ----------
+        worker_ips (list): List of worker IP addresses.
+    """
+    worker_count_dict = Counter(worker_ips)
+    worker_offset_dict = {}
+    current_offset = 0
+    for worker_ip, worker_count in worker_count_dict.items():
+        worker_offset_dict[worker_ip] = current_offset
+        current_offset += worker_count
+    return worker_offset_dict
+
+
+def _append_rank_offset(rank_dict, worker_ip_offset_dict):
+    """
+    For each worker address in the rank dictionary, add the
+    corresponding worker offset from the worker_ip_offset_dict
+    to the rank value.
+
+    Parameters
+    ----------
+        rank_dict (dict): Dictionary of worker addresses mapped to their ranks.
+        worker_ip_offset_dict (dict): Dictionary of worker IP addresses
+                                      mapped to their offsets.
     """
-    return dict(list(zip(workers, range(len(workers)))))
+    for worker_ip, worker_offset in worker_ip_offset_dict.items():
+        for worker_address in rank_dict:
+            if worker_ip in worker_address:
+                rank_dict[worker_address] += worker_offset
+    return rank_dict