Given the ever-increasing demands of numerical simulation, supercomputers
must constantly evolve to improve their performance and thus maintain a
high quality of service for users. These demands are reflected on storage
systems, which, to be performant, reliable, and capacitive, must contain
cutting-edge technologies concerning the optimization of data placement
and the scheduling of I/O accesses. The objective of this thesis is to
study these technologies such as GPU-based RAID and I/O virtualization,
to evaluate them, and to establish optimizations that can improve the
performance of HPC storage systems.