X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/book_gpu.git/blobdiff_plain/cf0ee588a0ef05623f955938e81be1aa96c33f46..55ce7168c6e69a2462d76c95dc9a5298ceedb04f:/BookGPU/Chapters/chapter14/ch14.tex?ds=sidebyside

diff --git a/BookGPU/Chapters/chapter14/ch14.tex b/BookGPU/Chapters/chapter14/ch14.tex
index 65177f4..89a72fd 100755
--- a/BookGPU/Chapters/chapter14/ch14.tex
+++ b/BookGPU/Chapters/chapter14/ch14.tex
@@ -156,7 +156,7 @@ site, may be thought of as follows. A matrix-vector multiplication
 ${\cal M}_{ij}f_j$ is used to transform the distributions into the
 hydrodynamic quantities, where ${\cal M}_{ij}$ is a constant 19x19
 matrix related to the choice of
-$\mathbf{c}_i$. The non-conserved hydrodynamic quantities are then
+$\mathbf{c}_i$. The nonconserved hydrodynamic quantities are then
 relaxed toward their (known) equilibrium values and are transformed
 back to new post-collision distributions via the inverse transformation
 ${\cal M}^{-1}_{ij}$. This gives rise to the need for a minimum of $2\times 19^2$
@@ -744,7 +744,7 @@ we have tried to maintain the modular structure of the CPU where
 possible. For each data structure, such as the distribution, a separate
 analogue is maintained in both the CPU and GPU memory spaces. However,
 the GPU copy does not include the complete CPU structure: in
-particular, non-intrinsic datatypes such as MPI datatypes are not
+particular, nonintrinsic datatypes such as MPI datatypes are not
 required on the GPU. Functions to marshal data between CPU and GPU
 are provided for each data structure, abstracting the underlying
 CUDA implementation. (This reasonably lightweight abstraction layer