  A central problem in scheduling is to schedule $n$ unit size jobs with
precedence constraints on $m$ identical machines so as to minimize the
makespan. For $m=3$, it is not even known if the problem is NP-hard and this is
one of the last open problems from the book of Garey and Johnson.
  We show that for fixed $m$ and $\epsilon$, $(\log n)^{O(1)}$ rounds of
Sherali-Adams hierarchy applied to a natural LP of the problem provides a
$(1+\epsilon)$-approximation algorithm running in quasi-polynomial time. This
improves over the recent result of Levey and Rothvoss, who used $r=(\log
n)^{O(\log \log n)}$ rounds of Sherali-Adams in order to get a
$(1+\epsilon)$-approximation algorithm with a running time of $n^{O(r)}$.
