diff --git a/pe/py/matchbase.py b/pe/py/matchbase.py
index d1f208d9..34966a50 100644
--- a/pe/py/matchbase.py
+++ b/pe/py/matchbase.py
@@ -21,6 +21,11 @@ from .cache import Cache
 
 MIN_ITERATIONS = 3
 
+# Enough so that we're sure that the main thread will not wait after a result.get() call
+# cpucount*2 should be enough to be sure that the spawned process will not wait after the results
+# collection made by the main process.
+RESULTS_QUEUE_LIMIT = multiprocessing.cpu_count() * 2
+
 def get_match(first,second,percentage):
     if percentage < 0:
         percentage = 0
@@ -40,7 +45,7 @@ class MatchFactory(object):
         # there is enough memory left to carry on the operation because it is assumed that the
         # MemoryError happens when trying to read an image file, which is freed from memory by the
         # time that MemoryError is raised.
-        j = j.start_subjob([2, 8])
+        j = j.start_subjob([3, 7])
         logging.info('Preparing %d files' % len(files))
         prepared = self.prepare_files(files, j)
         logging.info('Finished preparing %d files' % len(prepared))
@@ -94,7 +99,7 @@ class AsyncMatchFactory(MatchFactory):
             except Empty:
                 pass
         
-        j = j.start_subjob([1, 8, 1], 'Preparing for matching')
+        j = j.start_subjob([9, 1], 'Preparing for matching')
         cache = self.cached_blocks
         id2picture = {}
         dimensions2pictures = defaultdict(set)
@@ -109,18 +114,18 @@ class AsyncMatchFactory(MatchFactory):
         pictures = [p for p in pictures if hasattr(p, 'cache_id')]
         pool = multiprocessing.Pool()
         async_results = []
+        matches = []
         pictures_copy = set(pictures)
-        for ref in j.iter_with_progress(pictures):
+        for ref in j.iter_with_progress(pictures, 'Matched %d/%d pictures'):
             others = pictures_copy if self.match_scaled else dimensions2pictures[ref.dimensions]
             others.remove(ref)
             if others:
                 cache_ids = [f.cache_id for f in others]
                 args = (ref.cache_id, cache_ids, self.cached_blocks.dbname, self.threshold)
                 async_results.append(pool.apply_async(async_compare, args))
-        
-        matches = []
-        for result in j.iter_with_progress(async_results, 'Matched %d/%d pictures'):
-            matches.extend(result.get())
+            if len(async_results) > RESULTS_QUEUE_LIMIT:
+                result = async_results.pop(0)
+                matches.extend(result.get())
         
         result = []
         for ref_id, other_id, percentage in j.iter_with_progress(matches, 'Verified %d/%d matches', every=10):