new

[book_gpu.git] / BookGPU / Chapters / chapter14 / ch14.tex

diff --git a/BookGPU/Chapters/chapter14/ch14.tex b/BookGPU/Chapters/chapter14/ch14.tex
index 65177f46bc01b68125d185900a0c065b91e2ff1b..89a72fdbadf2769908fa206d7b31ca652b85a68f 100755 (executable)
--- 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
 ${\cal M}_{ij}f_j$ 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 $2\times 19^2$
 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
 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
 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