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This paper analyzes the parallelization efficiency of Menge [1], an open source virtual crowd simulation system widely used for algorithm benchmarking, with focuses on three aspects: performance of the existing parallel processing scheme, bottleneck of parallel processing, and improvement opportunities for parallel efficiency of the system. First, we calculate the speedup ratio of each Menge module...
The rapid adoption of multiprocessor computers creates a perfect environment for parallel EDA algorithms. Among various EDA applications, parallel logic simulation seems the most promising. As processors become faster and designs grow larger, better performance might well be expected from parallel simulation. However, this is typically not the case. Speedup is difficult to achieve, and pitfalls in...
The idea of distributed computer emulation is presented within this paper. Since classic emulation techniques put the power load on the host CPU only, the new approach tries to distribute the load among other available processors within the host platform. The implementation uses OpenCL framework. This standard allows writing high parallel and portable programs in ISO C99 subset language, runnable...
The development of computational grid of the research institute of intelligent computer systems is described in this paper. The development of computational grid's hardware and software are presented. The performance experiments are done concerning the parallelization of artificial neural networks training implemented on the proposed grid architecture.
In this research, four static load balancing algorithms: round robin, randomized, central manager, and threshold, are simulated and they performances are compared. The simulation is performed using discrete event simulator. Load indices used for central manager and threshold algorithm are CPU, memory, and hard disk I/O. The simulation of the four algorithms is done against three types of programs...
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