===================================================================
RCS file: /home/cvs/OpenXM/doc/ascm2001p/homogeneous-network.tex,v
retrieving revision 1.4
retrieving revision 1.6
diff -u -p -r1.4 -r1.6
--- OpenXM/doc/ascm2001p/homogeneous-network.tex	2001/06/20 02:50:16	1.4
+++ OpenXM/doc/ascm2001p/homogeneous-network.tex	2001/06/20 03:18:21	1.6
@@ -1,31 +1,24 @@
-% $OpenXM: OpenXM/doc/ascm2001p/homogeneous-network.tex,v 1.3 2001/06/20 02:39:25 noro Exp $
+% $OpenXM: OpenXM/doc/ascm2001p/homogeneous-network.tex,v 1.5 2001/06/20 03:08:05 takayama Exp $
 
 \subsection{Distributed computation with homogeneous servers}
 \label{section:homog}
 
 One of the aims of OpenXM is a parallel speedup by a distributed computation
-with homogeneous servers. As the current specification of OpenXM does
-not include communication between servers, one cannot expect
-the maximal parallel speedup. However it is possible to execute
-several types of distributed computation as follows.
+with homogeneous servers. 
+%As the current specification of OpenXM does
+%not include communication between servers, one cannot expect
+%the maximal parallel speedup. However it is possible to execute
+%several types of distributed computation as follows.
 
 \subsubsection{Competitive distributed computation by various strategies}
 
 SINGULAR \cite{Singular} implements {\it MP} interface for distributed
 computation and a competitive Gr\"obner basis computation is
 illustrated as an example of distributed computation.
-Such a distributed computation is also possible on OpenXM as follows:
+Such a distributed computation is also possible on OpenXM.
 
-The client creates two servers and it requests 
-Gr\"obner basis comutations by the Buchberger algorithm the $F_4$ algorithm
-to the servers for the same input.
-The client watches the streams by {\tt ox\_select()}
-and the result which is returned first is taken. Then the remaining
-server is reset.
-
 \begin{verbatim}
-extern Proc1,Proc2$
-Proc1 = -1$ Proc2 = -1$
+extern Proc1,Proc2$ Proc1 = -1$ Proc2 = -1$
 /* G:set of polys; V:list of variables */
 /* Mod: the Ground field GF(Mod); O:type of order */
 def dgr(G,V,Mod,O)
@@ -49,6 +42,12 @@ def dgr(G,V,Mod,O)
   return [Win,R];
 }
 \end{verbatim}
+In the above Asir program, the client creates two servers and it requests 
+Gr\"obner basis comutations by the Buchberger algorithm the $F_4$ algorithm
+to the servers for the same input.
+The client watches the streams by {\tt ox\_select()}
+and the result which is returned first is taken. Then the remaining
+server is reset.
 
 \subsubsection{Nesting of client-server communication}