diff --git a/src/wani.py b/src/wani.py
index 16c9cc0..6ea7819 100644
--- a/src/wani.py
+++ b/src/wani.py
@@ -5,6 +5,7 @@ import logging
 import argparse
 import pickle
 import time
+import gc
 import subprocess
 import concurrent.futures
 import tempfile
@@ -42,49 +43,15 @@ def main(args):
     match_store = MatchStore(args, database)
     word_stats = WordStats(lemma_msds, database)
 
-    if args.parallel:
-        num_parallel = int(args.parallel)
+    for words in load_files(args):
+        matches = match_file(words, structures)
+        match_store.add_matches(matches)
+        word_stats.add_words(words)
 
-        # make temporary directory to hold temporary files
-        with tempfile.TemporaryDirectory() as tmpdirname:
-            cmd = sys.argv
-            for inpt in args.input:
-                if inpt in cmd:
-                    cmd.remove(inpt)
-
-            # remove "--parallel X"
-            pidx = cmd.index('--parallel')
-            del cmd[pidx]
-            del cmd[pidx]
-
-            def func(n):
-                cmdn = [sys.executable] + cmd + [args.input[n],
-                                                 "--match-to-file", "{}/{}.p".format(tmpdirname, n)]
-                subprocess.check_call(cmdn)
-                return n
-
-            # use ThreadPoolExecuter to run subprocesses in parallel using py threads
-            with concurrent.futures.ThreadPoolExecutor(max_workers=num_parallel) as executor:
-                # fancy interface to wait for threads to finish
-                for id_input in executor.map(func, [i for i, _ in enumerate(args.input)]):
-                    with open("{}/{}.p".format(tmpdirname, id_input), "rb") as fp:
-                        words, matches = pickle.load(fp)
-
-                    match_store.add_matches(matches)
-                    word_stats.add_words(words)
-
-    else:
-        for words in load_files(args):
-            matches = match_file(words, structures)
-            # just save to temporary file, used for children of a parallel process
-            # MUST NOT have more than one file
-            if args.match_to_file is not None:
-                with open(args.match_to_file, "wb") as fp:
-                    pickle.dump((words, matches), fp)
-                    return
-            else:
-                match_store.add_matches(matches)
-                word_stats.add_words(words)
+        # force a bit of garbage collection
+        del words
+        del matches
+        gc.collect()
 
     # get word renders for lemma/msd
     word_stats.generate_renders()
@@ -148,10 +115,7 @@ if __name__ == '__main__':
 
     parser.add_argument('--pc-tag',
                         help='Tag for separators, usually pc or c', default="pc")
-    parser.add_argument('--parallel',
-                        help='Run in multiple processes, should speed things up')
 
-    parser.add_argument('--match-to-file', help='Do not use!')
 
     args = parser.parse_args()
     logging.basicConfig(stream=sys.stderr, level=args.verbose.upper())