@misc{Błażewicz_Jacek_SUBOPTIMAL,
 author={Błażewicz Jacek},
 address={Poznań},
 howpublished={online},
 publisher={OWN},
 language={eng},
 abstract={In the paper, the problem of scheduling a set of n malleable tasks on m parallel computers is considered. The tasks may be executed by several processors simultaneously and the processing speed of a task is a function of the number of processors alloted. The problem is motivated by real-life applications of parallel computer systems in scientific computing of highly parallelizable tasks. Starting from the continuous version of the problem (i. e. where the tasks may require a fractional part of the resources), we propose a general approximation algorithm with a performance guarantee equal to 2. Then, some improvements are derived that lead to a very good average behavior of the scheduling algorithm.},
 title={SUBOPTIMAL APPROACHES TO SCHEDULING MALLEABLE TASKS},
 type={artykuł},
}