  Hardware support for high-performance computing (HPC) has so far been subject
to significant advances. The pervasiveness of HPC systems, mainly made up with
parallel computing units, makes it crucial to spread and vivify effective HPC
curricula. Besides didactic considerations, it appears very important to
implement HPC hardware infrastructures that will serves for practices, and also
for scientific and industrial requests. The latter ensures a valuable
connection with surrounding cutting-edge research activities in other topics
({\em life sciences, physics, data mining, applied mathematics, finance,
quantitative economy, engineering sciences}, to name a few), and also with
industrial entities and services providers from their requests related to HPC
means and expertise. This aspect is very important as it makes an HPC Center
becoming a social actor, while bringing real-life scenarios into the academic
context. The current paper describes the major steps and objectives for a
consistent HPC curriculum, with specific analyses of particular contexts;
suggests how to technically set up operational HPC infrastructures; and
discusses the connection with end-users, all these in both effective and
prospective standpoints.
