Fixing typos.

paper.md

@@ -203,8 +203,8 @@ Center. In \autoref{tab:t8code_runtimes}, [@holke_optimized_2021] we show that
 trillion mesh elements. Computing ghost layers around parallel domains is
 usually the most expensive of all mesh operations. To put these results into
 perspective, we conducted scaling tests on the terrabyte cluster
-[terrabyte.lrz.de] at Leibniz Computing Centre comparing the ghost layer
-creation runtimes of p4est and t8code. See \autoref{fig:t8code_runtimes} for
+[@terrabyte.lrz.de] at Leibniz Supercomputing Centre comparing the ghost layer
+creation runtimes of p4est and t8code. See \autoref{fig:ghost_layer_runtimes} for
 the results. The p4est library has been established as one of the most
 performant meshing libraries [@BursteddeWilcoxGhattas11] specializing on
 adaptive quadrilateral and hexahedral meshes. Clearly, t8code shows near
@@ -239,7 +239,7 @@ around 15\% to 20\% of overall runtime compared to the solver.
 +================+===================+====================+========+
 
 ![Runtimes of ghost layer creation on the terraybyte cluster
-[terrabyte.lrz.de] for p4est and t8code. The meshes have been refined into
+[@terrabyte.lrz.de] for p4est and t8code. The meshes have been refined into
 a Menger sponge for hexahedral mesh with p4est (max. level 12) and a Sierpinski
 sponge for the tetrahedral mesh in t8code (max. level 13) to create a fractal
 pattern with billions of elements as a stress test. To make the two runs

pics/plot-timings-per-num-ghosts.gpi

@@ -21,5 +21,5 @@ set key bottom
 set title "Runtimes of ghost layer creation per ghost element over num. of proc."
 
 plot \
-  p4hex using 1:($2/$3 * 1e6) with lp lw 2 ps 2 title "p4est with hexhedral mesh (218 billion elements)", \
+  p4hex using 1:($2/$3 * 1e6) with lp lw 2 ps 2 title "p4est with hexahedral mesh (218 billion elements)", \
   t8tet using 1:($2/$3 * 1e6) with lp lw 2 ps 2 title "t8code with tetrahedral mesh (93 billion elements)"