-SimGrid aims at the sweet spot between accuracy and simulation speed. About accuracy, our goal is to report correct
-performance trends when comparing competing designs with a minimal burden on the user, while allowing power users to
-fine tune the simulation models for predictions that are within 5% or less of the results on real machines. For
-example, we determined the `speedup achieved by the Tibidabo ARM-based cluster <http://hal.inria.fr/hal-00919507>`_
-before it was even built. About simulation speed, the tool must be fast and scalable enough to study modern IT systems
-at scale. SimGrid was for example used to simulate `a Chord ring involving millions of actors
-<https://hal.inria.fr/inria-00602216>`_ (even though that has not really been more instructive than smaller scale
-simulations for this protocol), or `a qualification run at full-scale of the Stampede supercomputer
+SimGrid aims at the sweet spot between simulation accuracy and simulation speed. In terms of accuracy, the goal is for simulations
+to report correct
+performance trends when comparing competing designs while placing minimal burden on the user. We also want to allow power users to
+fine tune the simulation models to achieve simulation results that are within 5% or less of what would be observed
+on a real platform. For example, we accurately determined the `speedup achieved by the Tibidabo ARM-based cluster <http://hal.inria.fr/hal-00919507>`_
+before it was even built. In terms of simulation speed, the goal it to be fast and scalable enough to allow the study of modern IT systems
+at scale. SimGrid was, for example, used to simulate `a Chord ring with millions of actors
+<https://hal.inria.fr/inria-00602216>`_ (even though results were not really more instructive than those obtained at smaller scales),
+or `a qualification run at full-scale of the Stampede supercomputer