Abstract Intelligent calendar assistants have many years ago attracted researchers from the areas of scheduling, machine learning and human computer interaction. However, all effor...
This paper presents a novel discrete population based stochastic optimization algorithm inspired from weed colonization. Its performance in a discrete benchmark, timecost trade-off...
We propose a novel replication-based two-phase scheduling algorithm designed to achieve DAG scheduling with small makespans and high efficiency. In the first phase, the schedule...
In this paper, a programming model is presented which enables scalable parallel performance on multi-core shared memory architectures. The model has been developed for application...
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...