APPROACH TO ACCELERATE ALGORITHMS TO SOLVE LOGISTIC PROBLEMS WITH GPGPU
Keywords:
parallel computing, complex problems, speedup, GPGPUAbstract
Nowadays algorithms that were used to solve logistic problems are more and more difficult. Thanks to the globalization the networked multiple supply chains becomes even more complex. Moreover the data available from these networks growing to unprecedented levels. The fast decision making is business critical. The article is about the approach of use the GPU to accelerate algorithms to solve logistic problems faster. After some possible areas of this field are discussed we tried out the popular scientific GPU programming library named Torch. Finally test results of the measurements are presented.
Published
2016-12-31
How to Cite
Konyha, J., & Bányai, T. (2016). APPROACH TO ACCELERATE ALGORITHMS TO SOLVE LOGISTIC PROBLEMS WITH GPGPU. Advanced Logistic Systems - Theory and Practice, 10(2), 5–10. Retrieved from https://als.uni-miskolc.hu/index.php/als/article/view/19
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Section
Articles