The semiconductor
technology has reached physical limitations that prevent greater
miniaturization of chips and with it more energy efficient and more powerful
processors. Current research focuses on devices with multi-core processors and
general purpose graphics processing units on one side and a wide variety of
computer clusters and cloud services on the other.

To take
full advantage of these devices, it is necessary to know the architecture of
these systems and appropriate software interfaces. During the semester we will
learn how to make multithreaded programs, Open MP programs for multicore
processors, how to exploit general purpose graphics processing units with Open
CL library, MPI library for working with clusters, grid systems and computing

We will
learn about the traps of parallel and distributed systems, try to understand them
and find the ways to avoid them. At the end of the course you will be able to select
the most appropriate hardware platform and write an efficient parallel program
for a problem at hand.

assignments for the course are required and are being assessed. Every week students
get a short assignment, which is linked to the lectures. To get a positive grade
from the homework assignments you need to successfully complete at least 80% of
short assignments. Short assignments represent one-third of the final grade. Second-third
is obtained from parallelization of more comprehensive algorithm on two
different parallel platforms. The last third of the grade is obtained on the
oral exam.