With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the tr...With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the treatment of hypertension by traditional Chinese medicine.This research systematically introduces the advantages,disadvantages and application examples of data mining software such as SPSS,TCM inheritance support platform,TCM clinical research information sharing system and data mining methods such as cluster analysis,bayesian network,system evaluation.It is expected to enhance the practical application of data mining in the study of prevention,diagnosis and medication rule of TCM treatment of hypertension,and provide reference for the development of new software and new technology.展开更多
Nowadays, inter-task interferences are the main difficulty in analyzing the timing behavior of multicores. The timing predictable embedded multicore architecture MERASA, which allows safe worst-case execution time （W...Nowadays, inter-task interferences are the main difficulty in analyzing the timing behavior of multicores. The timing predictable embedded multicore architecture MERASA, which allows safe worst-case execution time （WCET） estimations, has emerged as an attractive solution. In the architecture, WCET can be estimated by the upper bound delay （UBD） which can be bounded by the interference-aware bus arbiter （IABA） and the dynamic cache partitioning such as columnization or bankization. However, this architecture faces a dilemma between decreasing UBD and efficient shared cache utilization. To obtain tighter WCET estimation, we propose a novel approach that reduces UBD by optimizing bank-to-core mapping on the multicore system with IABA and the two-level partitioned cache. For this, we first present a new UBD computation model based on the analysis of inter-task interference delay, and then put forward the core-sequence optimization method of bank-to-core mapping and the optimizing algorithms with the minimum UBD. Experimental results demonstrate that our approach can reduce WCET from 4% to 37%.展开更多
基金supported by the National Natural Science Foundation of Hebei Province(Grant No:H2015423020)the Graduate Innovation Funding Projects of Hebei Province(Grant No:XCXZZSS2020022).
文摘With the gradual development of data mining technology,more and more data mining software emerges as the times require,and the data mining methods are diversified,which provides a strong support in the study of the treatment of hypertension by traditional Chinese medicine.This research systematically introduces the advantages,disadvantages and application examples of data mining software such as SPSS,TCM inheritance support platform,TCM clinical research information sharing system and data mining methods such as cluster analysis,bayesian network,system evaluation.It is expected to enhance the practical application of data mining in the study of prevention,diagnosis and medication rule of TCM treatment of hypertension,and provide reference for the development of new software and new technology.
基金This work is supported by the National Natural Science Foundation of China under Grant No. 61370062.
文摘Nowadays, inter-task interferences are the main difficulty in analyzing the timing behavior of multicores. The timing predictable embedded multicore architecture MERASA, which allows safe worst-case execution time （WCET） estimations, has emerged as an attractive solution. In the architecture, WCET can be estimated by the upper bound delay （UBD） which can be bounded by the interference-aware bus arbiter （IABA） and the dynamic cache partitioning such as columnization or bankization. However, this architecture faces a dilemma between decreasing UBD and efficient shared cache utilization. To obtain tighter WCET estimation, we propose a novel approach that reduces UBD by optimizing bank-to-core mapping on the multicore system with IABA and the two-level partitioned cache. For this, we first present a new UBD computation model based on the analysis of inter-task interference delay, and then put forward the core-sequence optimization method of bank-to-core mapping and the optimizing algorithms with the minimum UBD. Experimental results demonstrate that our approach can reduce WCET from 4% to 37%.
