Start of studies
Autumn semester 2027
Form of education
Campus, Day-time, Half-time
Language
English
Period
2027 week 44 until 2028 week 2
Admission to the course requires 60 credits completed in the subject area Computer science or in the subject area Software engineering, including completed courses in programming, 12 credits, algorithm and data structures, 6 credits and operating system 6 credits and computer engineering 6 credits.
Parallelism has been an approach to achieve high performance in computer systems for many years. Today, computer systems incorporate parallelism at several levels: regular arrays (matrices) of SIMD processor cores as in GPUs, a smaller number of general CPU cores as in multicore processors, or as connected processing nodes as in a distributed system. To utilize the performance potential of the hardware, we need to write efficient parallel programs. In other words, parallel computer systems and parallel programming are fundamental building blocks for contemporary as well as future computer systems. The aim of this course is to teach the students how to program computer systems consisting of many processors or processor cores to achieve high performance. We will look at programming of shared memory, both MIMD and SIMD, as well as programming of distributed systems. The focus in the course will be on programming of shared-memory multiprocessors.
Admission to the course requires 60 credits completed in the subject area Computer science or in the subject area Software engineering, including completed courses in programming, 12 credits, algorithm and data structures, 6 credits and operating system 6 credits and computer engineering 6 credits.
Level
A1N
Registration code
B3EL7
Course code
DV2597
