Review of last words.

[loba-papers.git] / supercomp11 / supercomp11.tex

diff --git a/supercomp11/supercomp11.tex b/supercomp11/supercomp11.tex
index f41425c39afa1f7d7b3452e49f3cfd4905633c8d..a26ad3ac45f4e5cce13675b92b6e21ba2dee3ad7 100644 (file)
--- a/supercomp11/supercomp11.tex
+++ b/supercomp11/supercomp11.tex
@@ -582,7 +582,7 @@ With these constraints in mind, we defined the following metrics:
   that can be compared between simulations of different sizes.
 
   This metric is expected to give an idea of the ability of the strategy to
   that can be compared between simulations of different sizes.
 
   This metric is expected to give an idea of the ability of the strategy to

-  diffuse the load quickly, lesser is better.
+  diffuse the load quickly.  A smaller value is better.

 
 \item[\textbf{average convergence date:}] that's the average of the dates when
   all nodes reached the convergence state.  The dates are measured as a number
 
 \item[\textbf{average convergence date:}] that's the average of the dates when
   all nodes reached the convergence state.  The dates are measured as a number


@@ -592,15 +592,15 @@ With these constraints in mind, we defined the following metrics:
   reached the convergence state.
 
   These two dates give an idea of the time needed by the strategy to reach the
   reached the convergence state.
 
   These two dates give an idea of the time needed by the strategy to reach the

-  equilibrium state, lesser is doubtlessly better.
+  equilibrium state.  A smaller value is better.

 
 

-\item[\textbf{data transfer amount:}] that's the sum of the amount of data of
-  all transfers during the simulation.  This sum is then normalized by dividing
-  it by the total amount of data present in the system.
+\item[\textbf{data transfer amount:}] that's the sum of the amount of all data
+  transfers during the simulation.  This sum is then normalized by dividing it
+  by the total amount of data present in the system.

 
   This metric is expected to give an idea of the efficiency of the strategy in
   terms of data movements, i.e. its ability to reach the equilibrium with fewer
 
   This metric is expected to give an idea of the efficiency of the strategy in
   terms of data movements, i.e. its ability to reach the equilibrium with fewer

-  transfers.
+  transfers.  Again, a smaller value is better.

 
 \end{description}
 
 
 \end{description}