  The Subgraph Isomorphism problem is of considerable importance in computer
science. We examine the problem when the pattern graph H is of bounded
treewidth, as occurs in a variety of applications. This problem has a
well-known algorithm via color-coding that runs in time $O(n^{tw(H)+1})$ [Alon,
Yuster, Zwick'95], where $n$ is the number of vertices of the host graph $G$.
While there are pattern graphs known for which Subgraph Isomorphism can be
solved in an improved running time of $O(n^{tw(H)+1-\varepsilon})$ or even
faster (e.g. for $k$-cliques), it is not known whether such improvements are
possible for all patterns. The only known lower bound rules out time
$n^{o(tw(H) / \log(tw(H)))}$ for any class of patterns of unbounded treewidth
assuming the Exponential Time Hypothesis [Marx'07].
  In this paper, we demonstrate the existence of maximally hard pattern graphs
$H$ that require time $n^{tw(H)+1-o(1)}$. Specifically, under the Strong
Exponential Time Hypothesis (SETH), a standard assumption from fine-grained
complexity theory, we prove the following asymptotic statement for large
treewidth $t$: For any $\varepsilon > 0$ there exists $t \ge 3$ and a pattern
graph $H$ of treewidth $t$ such that Subgraph Isomorphism on pattern $H$ has no
algorithm running in time $O(n^{t+1-\varepsilon})$.
  Under the more recent 3-uniform Hyperclique hypothesis, we even obtain tight
lower bounds for each specific treewidth $t \ge 3$: For any $t \ge 3$ there
exists a pattern graph $H$ of treewidth $t$ such that for any $\varepsilon>0$
Subgraph Isomorphism on pattern $H$ has no algorithm running in time
$O(n^{t+1-\varepsilon})$.
  In addition to these main results, we explore (1) colored and uncolored
problem variants (and why they are equivalent for most cases), (2) Subgraph
Isomorphism for $tw < 3$, (3) Subgraph Isomorphism parameterized by pathwidth,
and (4) a weighted problem variant.
