  HEP-Frame is a new C++ package designed to efficiently perform analyses of
data sets from a very large number of events, like those available at the Large
Hadron Collider (LHC) at CERN, Geneva. It mainly targets high performance
servers and mini-clusters, and it was designed for natural science experts with
a user-friendly interface to access structured databases. HEP-Frame
automatically evaluates the underlying computing resources and builds an
adequate code skeleton when creating a data analysis application. In run-time,
HEP-Frame analyses a sequence of data sets exploring the available parallelism
in the code and hardware resources: it concurrently reads inputs from an
user-defined data structure and processes them, following the user specific
sequence of requirements to select relevant data; it manages the efficient
execution of that sequence; and it outputs results in user-defined objects
(e.g., ROOT structures), stored together with the input data used. This paper
shows how a domain expert software development can benefit from HEP-Frame, and
how it significantly improved the performance of analyses of large data sets
produced in proton-proton collisions at the LHC. Two case studies are
discussed: the associated production of top quarks together with a Higgs boson
(ttH) at the LHC, and a double and single top quark productions at the
High-Luminosity phase of the LHC (HL-HLC). Results show that the HEP-Frame
awareness of the analysis code behavior and structure, and the underlying
hardware system, provides powerful and transparent parallelization mechanisms
that largely improve the execution time of data analysis applications.
