diff --git a/Lib/multiprocessing/managers.py b/Lib/multiprocessing/managers.py
index f42d353..5cae4c1 100644
--- a/Lib/multiprocessing/managers.py
+++ b/Lib/multiprocessing/managers.py
@@ -1066,11 +1066,12 @@
 
 PoolProxy = MakeProxyType('PoolProxy', (
     'apply', 'apply_async', 'close', 'imap', 'imap_unordered', 'join',
-    'map', 'map_async', 'terminate'
+    'map', 'map_async', 'starmap', 'starmap_async', 'terminate'
     ))
 PoolProxy._method_to_typeid_ = {
     'apply_async': 'AsyncResult',
     'map_async': 'AsyncResult',
+    'starmap_async': 'AsyncResult',
     'imap': 'Iterator',
     'imap_unordered': 'Iterator'
     }
diff --git a/Lib/multiprocessing/pool.py b/Lib/multiprocessing/pool.py
index 0c29e64..7039d16 100644
--- a/Lib/multiprocessing/pool.py
+++ b/Lib/multiprocessing/pool.py
@@ -64,6 +64,9 @@
 def mapstar(args):
     return list(map(*args))
 
+def starmapstar(args):
+    return list(itertools.starmap(args[0], args[1]))
+
 #
 # Code run by worker processes
 #
@@ -248,7 +251,25 @@
         in a list that is returned.
         '''
         assert self._state == RUN
-        return self.map_async(func, iterable, chunksize).get()
+        return self._map_async(func, iterable, mapstar, chunksize).get()
+
+    def starmap(self, func, iterable, chunksize=None):
+        '''
+        Like `map()` method but the elements of the `iterable` are expected to
+        be iterables as well and will be unpacked as arguments. Hence
+        `func` and (a, b) becomes func(a, b).
+        '''
+        assert self._state == RUN
+        return self._map_async(func, iterable, starmapstar, chunksize).get()
+
+    def starmap_async(self, func, iterable, chunksize=None, callback=None,
+            error_callback=None):
+        '''
+        Asynchronous version of `starmap()` method.
+        '''
+        assert self._state == RUN
+        return self._map_async(func, iterable, starmapstar, chunksize,
+                               callback, error_callback)
 
     def imap(self, func, iterable, chunksize=1):
         '''
@@ -302,6 +323,13 @@
         Asynchronous version of `map()` method.
         '''
         assert self._state == RUN
+        return self._map_async(func, iterable, mapstar, chunksize)
+
+    def _map_async(self, func, iterable, mapper, chunksize=None, callback=None,
+            error_callback=None):
+        '''
+        Helper function to implement map, starmap and their async counterparts.
+        '''
         if not hasattr(iterable, '__len__'):
             iterable = list(iterable)
 
@@ -315,7 +343,7 @@
         task_batches = Pool._get_tasks(func, iterable, chunksize)
         result = MapResult(self._cache, chunksize, len(iterable), callback,
                            error_callback=error_callback)
-        self._taskqueue.put((((result._job, i, mapstar, (x,), {})
+        self._taskqueue.put((((result._job, i, mapper, (x,), {})
                               for i, x in enumerate(task_batches)), None))
         return result
 
diff --git a/Lib/test/test_multiprocessing.py b/Lib/test/test_multiprocessing.py
index b99201b..93cc11d 100644
--- a/Lib/test/test_multiprocessing.py
+++ b/Lib/test/test_multiprocessing.py
@@ -8,6 +8,7 @@
 import queue as pyqueue
 import time
 import io
+import itertools
 import sys
 import os
 import gc
@@ -1125,6 +1126,9 @@
     time.sleep(wait)
     return x*x
 
+def mul(x, y):
+    return x*y
+
 class _TestPool(BaseTestCase):
 
     def test_apply(self):
@@ -1138,6 +1142,20 @@
         self.assertEqual(pmap(sqr, list(range(100)), chunksize=20),
                          list(map(sqr, list(range(100)))))
 
+    def test_starmap(self):
+        psmap = self.pool.starmap
+        tuples = list(zip(range(10), range(9,-1, -1)))
+        self.assertEqual(psmap(mul, tuples),
+                         list(itertools.starmap(mul, tuples)))
+        tuples = list(zip(range(100), range(99,-1, -1)))
+        self.assertEqual(psmap(mul, tuples, chunksize=20),
+                         list(itertools.starmap(mul, tuples)))
+
+    def test_starmap_async(self):
+        tuples = list(zip(range(100), range(99,-1, -1)))
+        self.assertEqual(self.pool.starmap_async(mul, tuples).get(),
+                         list(itertools.starmap(mul, tuples)))
+
     def test_map_chunksize(self):
         try:
             self.pool.map_async(sqr, [], chunksize=1).get(timeout=TIMEOUT1)