  The parallel algorithm for loading large sparse matrices from files into
distributed memories of high performance computing (HPC) systems is presented.
This algorithm was designed specially for matrices stored in files in the
space-effcient adaptive-blocking hierarchical storage format (ABHSF). The
algorithm can be used even if matrix storing and loading procedures use a
different number of processes, different matrix-processes mapping, or different
in-memory storage format. The file format based on the utilization of the HDF5
library is described as well. Finally, the presented experimental study
evaluates the proposed algorithm empirically.
