Performance optimizations

Starting point: ~200 MLUPS on a NVidia K2200

Changes that did not noticeably impact performance:

* Memory layout AOS vs. SOA (weird, probably highly platform dependent)
* Propagate on read
* Tagging pointers as read / write only
* Manual code inlining

Changes that made things worse:

* Bad thread block sizes

The actual issue:

* Hidden double precision computations

=> Code now yields ~600 MLUPS

1 files changed, 1 insertions, 0 deletions

diff --git a/shell.nix b/shell.nix
index c431426..0022724 100644
--- a/shell.nix
+++ b/shell.nix
@@ -23,6 +23,7 @@ pkgs.stdenvNoCC.mkDerivation rec {
 
     local-python = custom-python.withPackages (python-packages: with python-packages; [
       numpy
+      sympy
       pyopencl
       pyopengl
       pygobject3