new

[book_gpu.git] / BookGPU / Chapters / chapter16 / ch16.tex

diff --git a/BookGPU/Chapters/chapter16/ch16.tex b/BookGPU/Chapters/chapter16/ch16.tex
index e7ba3baba1ed9efe6f7ac701a773f35a15cd10ad..ac52b32159c3580d14850b6c6091d99d5457ca64 100644 (file)
--- a/BookGPU/Chapters/chapter16/ch16.tex
+++ b/BookGPU/Chapters/chapter16/ch16.tex
@@ -52,21 +52,22 @@
 \input{Chapters/chapter16/gpu.tex}
 \input{Chapters/chapter16/exp.tex}
 
 \input{Chapters/chapter16/gpu.tex}
 \input{Chapters/chapter16/exp.tex}
 

+\clearpage

 \section{Summary}
 \label{sec:summary}
 \section{Summary}
 \label{sec:summary}

-In this chapter, we present a new envelope-following method for
+In this chapter, we have presented a new envelope-following method for

 transient analysis of switching power converters.  First, the
 transient analysis of switching power converters.  First, the

-computationally expensive step, the solving of Newton update equation,
+computationally expensive step, the solving of the Newton update equation,

 has been parallelized on CUDA-enabled GPU platforms with iterative
 GMRES solver to boost performance of the analysis method.  To further
 has been parallelized on CUDA-enabled GPU platforms with iterative
 GMRES solver to boost performance of the analysis method.  To further

-speed up the GMRES solving for Newton update equation, we have
+speed up the GMRES solving for the Newton update equation, we have

 employed the matrix-free Krylov basis generation technique.  The
 proposed method also applies the more robust Gear-2 integration to
 compute the sensitivity matrix.  Experimental results from several
 integrated on-chip power converters have shown that the proposed GPU
 envelope-following algorithm can lead to about 10$\times$ speedup
 compared to its CPU counterpart, and 100$\times$ faster than the
 employed the matrix-free Krylov basis generation technique.  The
 proposed method also applies the more robust Gear-2 integration to
 compute the sensitivity matrix.  Experimental results from several
 integrated on-chip power converters have shown that the proposed GPU
 envelope-following algorithm can lead to about 10$\times$ speedup
 compared to its CPU counterpart, and 100$\times$ faster than the

-traditional envelope-following methods while still keeps the similar
+traditional envelope-following methods while still keep the similar

 accuracy.
 
 
 accuracy.
 
 


@@ -74,7 +75,7 @@ accuracy.
 \begin{Glossary}
 \item[Envelope-Following] In transient simulation of switching power circuits,
 nodal voltage waveforms in neighboring high frequency clock cycles are similar,
 \begin{Glossary}
 \item[Envelope-Following] In transient simulation of switching power circuits,
 nodal voltage waveforms in neighboring high frequency clock cycles are similar,

-but not exactly the duplicates. Envelope-following technique approximates
+but not exactly duplicates. Envelope-following technique approximates

 the slowly changing transient trend over a lot of clock cycles
 without calculating waveforms in all cycles.
 \end{Glossary}
 the slowly changing transient trend over a lot of clock cycles
 without calculating waveforms in all cycles.
 \end{Glossary}