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Multi-core CPU and GPU technologies upgrades a PC to a personal supercomputer. Many algorithms have been proposed to achieve dynamic scheduling in CPU-GPU hybrid environments. Among them, only pure self-scheduling (PSS) can achieve perfect load balancing in this extremely heterogeneous environment. But PSS can not take full advantage of GPU performance, reduce the overhead of the tail problem, and...
Biological computations like Electrocardiological modeling and simulation usually require high-performance computing environments. This paper introduces an implementation of parallel computation for computer simulation of Electrocardiograms (ECGs). We realized the parallel computation for computer simulation of ECGs on a CPU-GPU cluster using a hybrid parallel algorithm with the parallel program development...
A genetic algorithm based on small-world model (GA-SW) is developed for solving the scheduling and placement problem in FPGA. In this problem, a set of tasks with their own start times, execution times and deadlines is to be scheduled into the FPGA with the objective to minimize the total delay of tasks. The small-world network model possesses locality character, i.e., tightly local connections and...
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