diff --git a/ctn_benchmark/benchmark.py b/ctn_benchmark/benchmark.py
index 1a63341..6eb51eb 100644
--- a/ctn_benchmark/benchmark.py
+++ b/ctn_benchmark/benchmark.py
@@ -27,7 +27,7 @@ def __init__(self):
     def default(self, description, **kwarg):
         if len(kwarg) != 1:
             raise ValueException('Must specify exactly one parameter')
-        k, v = kwarg.items()[0]
+        k, v = list(kwarg.items())[0]
         if k in self.param_names:
             raise ValueException('Cannot redefine parameter "%s"' % k)
         if v is False:
diff --git a/ctn_benchmark/spa/memory.py b/ctn_benchmark/spa/memory.py
index f57782e..733525b 100644
--- a/ctn_benchmark/spa/memory.py
+++ b/ctn_benchmark/spa/memory.py
@@ -11,7 +11,7 @@
 
 import ctn_benchmark
 
-import split
+from . import split
 
 class SemanticMemory(ctn_benchmark.Benchmark):
     def params(self):
@@ -66,7 +66,7 @@ def marker(t):
             for node in model.all_nodes:
                 if node.output is None:
                     if node.size_in > p.pf_max_dim:
-                        print 'limiting', node
+                        print('limiting', node)
                         model.config[node].n_cores_per_chip = p.pf_cores
                         model.config[node].n_chips = p.pf_n_chips
             model.config[
diff --git a/ctn_benchmark/spa/memory_recall.py b/ctn_benchmark/spa/memory_recall.py
index 3f0ab62..8ca3cfa 100644
--- a/ctn_benchmark/spa/memory_recall.py
+++ b/ctn_benchmark/spa/memory_recall.py
@@ -11,7 +11,7 @@
 
 import ctn_benchmark
 
-import split
+from . import split
 
 class SemanticMemory(ctn_benchmark.Benchmark):
     def params(self):
@@ -81,7 +81,7 @@ def cue(t):
             for node in model.all_nodes:
                 if node.output is None:
                     if node.size_in > p.pf_max_dim:
-                        print 'limiting', node
+                        print('limiting', node)
                         model.config[node].n_cores_per_chip = p.pf_cores
                         model.config[node].n_chips = p.pf_n_chips
             model.config[
diff --git a/ctn_benchmark/spa/parse.py b/ctn_benchmark/spa/parse.py
index ab6baad..01dab43 100644
--- a/ctn_benchmark/spa/parse.py
+++ b/ctn_benchmark/spa/parse.py
@@ -11,7 +11,7 @@
 
 import ctn_benchmark
 
-import split
+from . import split
 
 class Parsing(ctn_benchmark.Benchmark):
     def params(self):
@@ -68,7 +68,7 @@ def vision_input(t):
             for node in model.all_nodes:
                 if node.output is None:
                     if node.size_in > p.pf_max_dim:
-                        print 'limiting', node
+                        print('limiting', node)
                         model.config[node].n_cores_per_chip = p.pf_cores
                         model.config[node].n_chips = p.pf_n_chips
             model.config[
diff --git a/ctn_benchmark/spa/sequence_routed.py b/ctn_benchmark/spa/sequence_routed.py
index 91445e4..f3a4ee6 100644
--- a/ctn_benchmark/spa/sequence_routed.py
+++ b/ctn_benchmark/spa/sequence_routed.py
@@ -5,7 +5,7 @@
 basal ganglia and thalamus.
 """
 
-import split
+from . import split
 
 
 import ctn_benchmark
@@ -56,7 +56,7 @@ def model(self, p):
             for node in model.all_nodes:
                 if node.output is None:
                     if node.size_in > p.pf_max_dim:
-                        print 'limiting', node
+                        print('limiting', node)
                         model.config[node].n_cores_per_chip = p.pf_cores
                         model.config[node].n_chips = p.pf_n_chips
 
diff --git a/ctn_benchmark/spa/split.py b/ctn_benchmark/spa/split.py
index a80c269..037f202 100644
--- a/ctn_benchmark/spa/split.py
+++ b/ctn_benchmark/spa/split.py
@@ -1,5 +1,6 @@
 import numpy as np
 import nengo
+from six import iteritems
 
 def gather_info(network, inputs, outputs, parents):
     for c in network.connections:
@@ -183,7 +184,7 @@ def pass_ensembles(model, max_dim=16):
                 total_out[key] += c.size_out
                 conns[key].append(c)
 
-        for key, total in total_out.items():
+        for key, total in iteritems(total_out):
             if total > max_dim:
                 f, slice = key
                 cs = conns[key]