[docs] Updating HyperMapper references

hpvm/docs/developerdocs/components/transformdse.rst

@@ -122,7 +122,8 @@ Design Space Exploration
 Our optimization framework sets up the parameter space for DSE by
 performing a static analysis of the HPVM IR and extracting the
 corresponding parameters for every possible optimization. Then, it
-interacts with HyperMapper (HM), where in every iteration HM sends a
+interacts with `HyperMapper (HM) <https://github.com/luinardi/hypermapper>`, 
+where in every iteration HM sends a
 chosen design sample (i.e. set of values for the parameters) and waits
 for a response. For each sample, we apply the optimizations with the
 provided parameter values, and then estimate the execution time.

hpvm/docs/how_to_guides/using-dse.rst

@@ -3,7 +3,8 @@ Using ``hpvm-dse``
 
 ``hpvm-dse`` provides a DSE workflow allowing the optimization of HPVM programs,
 supporting any language that can target the IR (currently HPVM-C and HeteroC++).
-As an autotuning engine, the it uses HyperMapper, a bayesian optimization tool.
+The framework uses `HyperMapper (HM) <https://github.com/luinardi/hypermapper>`
+to explore the design space.
 
 Tool Flow
 ---------