parallel tools venn diagram

Author: dvalters

workshop_notebooks/.ipynb_checkpoints/Part2_Numba-checkpoint.ipynb

@@ -29,7 +29,7 @@
     "import numpy as np\n",
     "import time\n",
     "\n",
-    "x = np.arange(100000000).reshape(10000, 10000)\n",
+    "x = np.arange(1000000).reshape(1000, 1000)\n",
     "\n",
     "@jit(nopython=True) # Set \"nopython\" mode for best performance\n",
     "def go_fast(a): # Function is compiled to machine code when called the first time\n",
@@ -87,14 +87,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "import time\n",
     "\n",
-    "x = np.arange(100000000).reshape(10000, 10000)\n",
+    "x = np.arange(1000000).reshape(1000, 1000)\n",
     "\n",
     "def go_slow(a): # Function is run as standard Python/Numpy code\n",
     "    trace = 0\n",

workshop_notebooks/Conclusions.ipynb

@@ -42,7 +42,32 @@
     "\n",
     "Tricky to set up.(even if mpi4py can be imported - requires compiler that provide mpirun\n",
     "\n",
-    "###"
+    "## RSE Workshop notes\n",
+    "\n",
+    "Joblib - https://pypi.org/project/joblib/\n",
+    "\n",
+    "FENICS - https://fenicsproject.org/\n",
+    "\n",
+    "Dask - http://dask.pydata.org/en/latest/\n",
+    "\n",
+    "### Exisiting parallel C/Fortran code?\n",
+    "\n",
+    "Cython lets you interface with existing C-code (which could contain OpenMP/MPI etc)\n",
+    "(No need to re-write it in 'Cython')\n",
+    "\n",
+    "Also  ctypes, CFFI etc.\n",
+    "\n",
+    "F2PY - similar as above but for Fortran code (Python bindings/interface for Fortran code)\n",
+    "\n",
+    "http://www.f2py.com/\n",
+    "\n",
+    "Other Fortran bindings:\n",
+    "\n",
+    "F2X - https://github.com/DLR-SC/F2x\n",
+    "\n",
+    "F90WRAP - https://github.com/jameskermode/f90wrap\n",
+    "\n",
+    "Pyccel - https://github.com/pyccel/pyccel\n"
    ]
   },
   {
@@ -69,7 +94,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,

workshop_notebooks/Part2_Numba.ipynb

@@ -29,7 +29,7 @@
     "import numpy as np\n",
     "import time\n",
     "\n",
-    "x = np.arange(100000000).reshape(10000, 10000)\n",
+    "x = np.arange(1000000).reshape(1000, 1000)\n",
     "\n",
     "@jit(nopython=True) # Set \"nopython\" mode for best performance\n",
     "def go_fast(a): # Function is compiled to machine code when called the first time\n",
@@ -87,14 +87,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "import time\n",
     "\n",
-    "x = np.arange(100000000).reshape(10000, 10000)\n",
+    "x = np.arange(1000000).reshape(1000, 1000)\n",
     "\n",
     "def go_slow(a): # Function is run as standard Python/Numpy code\n",
     "    trace = 0\n",

workshop_notebooks/Part3_CythonOpenMP.ipynb

@@ -56,7 +56,7 @@
     "    double a = 0.0, b = 1.0, tmp;\n",
     "    for (i=0; i<n; ++i)\n",
     "    {\n",
-    "        tmp a;\n",
+    "        tmp = a;\n",
     "        a = a + b;\n",
     "        b = tmp;\n",
     "    }\n",