[Commits] [svn:einsteintoolkit] Paper_EinsteinToolkit_2010/ (Rev. 208)
knarf at cct.lsu.edu
knarf at cct.lsu.edu
Mon Nov 14 02:39:49 CST 2011
User: knarf
Date: 2011/11/14 02:39 AM
Modified:
/
ET.tex
Log:
cosmetics in future work section
File Changes:
Directory: /
============
File [modified]: ET.tex
Delta lines: +3 -3
===================================================================
--- ET.tex 2011-11-14 08:35:47 UTC (rev 207)
+++ ET.tex 2011-11-14 08:39:49 UTC (rev 208)
@@ -2881,8 +2881,8 @@
improvement. One example is the need for the gauge invariant
extraction of gravitational waves from simulation spacetimes as realized
by the Cauchy Characteristic Extraction (CCE) technique recently studied
-in \cite{Babiuc:11,Reisswig:2010cd,Reisswig:2011a}. The authors of one such
-CCE code \cite{Babiuc:11} have agreed to make their work available to the
+in~\cite{Babiuc:11,Reisswig:2010cd,Reisswig:2011a}. The authors of one such
+CCE code~\cite{Babiuc:11} have agreed to make their work available to the
whole community by integrating their CCE routines into the Einstein Tookit
release 2011\_11 ``Maxwell,'' which will be described elsewhere.
@@ -2928,7 +2928,7 @@
Carpet} AMR infrastructure. As we have shown, good scaling is
limited to only a few thousand processes for some of the most widely used
simulation scenarios. Work is in progress to eliminate this
-bottle-neck. On the other hand, a production simulation is typically
+bottleneck. On the other hand, a production simulation is typically
composed of a large number of components, and even analysis and I/O
routines have to scale well to achieve overall good performance. This
is a highly non-trivial problem, since most Einstein Toolkit physics
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