B-ISG（Belt-driven Integrated Started Generator）技术采用皮带驱动起动／发电机一体化，对现有汽车动力总成结构改动尽量小，改善汽车燃油经济性、排放等各方面的指标。这是ISG（Integrated Started Generator）轻度混合动力汽车的...B-ISG（Belt-driven Integrated Started Generator）技术采用皮带驱动起动／发电机一体化，对现有汽车动力总成结构改动尽量小，改善汽车燃油经济性、排放等各方面的指标。这是ISG（Integrated Started Generator）轻度混合动力汽车的全新发展。展开更多
With further increase of the number of on-chip device, the bus structure has not met the requirements. In order to make better communication between each part, the chip designers need to explore a new structure to sol...With further increase of the number of on-chip device, the bus structure has not met the requirements. In order to make better communication between each part, the chip designers need to explore a new structure to solve the interconnection of on-chip device. The paper proposes a network-on-chip dynamic and adaptive algorithm which selects NoC platform with 2-dimension mesh as the carrier, incorporates communication energy consumption and delay into unified cost function and uses ant colony optimization to realize NOC map facing energy consumption and delay. The experiment indicates that compared with random map, single objective optimization can separately saves （30% - 47 %） and （ 20% - 39%） in communication energy consumption and execution time compared with random map, and joint objective optimization can further excavate the potential of time dimension in mapping scheme dominated by the energy.展开更多
文摘B-ISG（Belt-driven Integrated Started Generator）技术采用皮带驱动起动／发电机一体化，对现有汽车动力总成结构改动尽量小，改善汽车燃油经济性、排放等各方面的指标。这是ISG（Integrated Started Generator）轻度混合动力汽车的全新发展。
文摘With further increase of the number of on-chip device, the bus structure has not met the requirements. In order to make better communication between each part, the chip designers need to explore a new structure to solve the interconnection of on-chip device. The paper proposes a network-on-chip dynamic and adaptive algorithm which selects NoC platform with 2-dimension mesh as the carrier, incorporates communication energy consumption and delay into unified cost function and uses ant colony optimization to realize NOC map facing energy consumption and delay. The experiment indicates that compared with random map, single objective optimization can separately saves （30% - 47 %） and （ 20% - 39%） in communication energy consumption and execution time compared with random map, and joint objective optimization can further excavate the potential of time dimension in mapping scheme dominated by the energy.
