阵列处理器中改进几乎空白子帧算法的并行化实现

两层异构网络中出现的小区间干扰协调是当前异构网络干扰问题研究的热点。针对软件实现增强小区调度几乎空白子帧(ABS)的干扰方案存在处理数据量大、速度慢的缺点,基于可重构阵列结构提出了一种动态ABS干扰协调的并行化硬件实现方案。该算法在增强小区内根据用户数动态分配ABS比例,以改善小区边缘用户的信道容量,通过流水线的方式使用多个轻核处理元(PE)实现并行计算以提高运算效率。测试结果表明,使用12个PE同时调度实现算法的映射,运行1983个周期,其性能比单个PE提升77.03%,该算法的并行计算能力得到显著提升,宏基站用户的吞吐量可以达到4.76 Mbit/s.     

Parallel design of convolutional neural networks for remotesensing images object recognition based ondata-driven array processor

Object recognition in very high-resolution remote sensing images is a basic problem in the field of aerial and satellite image analysis. With the development of sensor technology and aerospace remote sensing technology, thequality and quantity of remote sensing images are improved. Traditional recognition methods have a certainlimitation in describing higher-level features, but object recognition method based on convolutional neural network(CNN) can not only deal with large scale images, but also train features automatically with high efficiency. It ismainly used on object recognition for remote sensing images. In this paper, an AlexNet CNN model is trained using2 100 remote sensing images, and correction rate can reach 97.6% after 2 000 iterations. Then based on trainedmodel, a parallel design of CNN for remote sensing images object recognition based on data-driven array processor(DDAP) is proposed. The consuming cycles are counted. Simultaneously, the proposed architecture is realized onXilinx V6 development board, and synthesized based on SMIC 130 nm complementary metal oxid semiconductor(CMOS) technology. The experimental results show that the proposed architecture has a certain degree ofparallelism to achieve the purpose of accelerating calculations.     

视频阵列处理器多层次分布式存储结构设计

随着视频编解码标准的不断演进,算法处理的数据量也随之剧增。多核结构并行化处理技术在提升算法计算速度的同时,使得存储结构成为了整个编解码系统性能的瓶颈。针对视频编解码算法访存的局部性、各算法之间数据交互频繁性、算法内部大量临时数据不交互性的特点,设计并实现了由私有存储层和共享存储层构成的多层次分布式存储结构。通过Xilinx公司的Virtex-6系列xc6vlx550T开发板对设计进行测试,实验结果表明,该结构在保持简洁性和可扩展性的同时,最高可提供9.73 GB/s的访存带宽,能够满足视频编解码算法数据访存的需求。     

毛细管电泳-荧光检测在药物分析中的应用

毛细管电泳微分离技术基于其样品用量少,分离效率高的特点,在分离分析领域具有其独特的优势.相较于传统紫外检测,毛细管电泳-荧光检测可实现高灵敏度的分析.围绕药物分析的应用,着重介绍了毛细管电泳-荧光检测技术用于手性药物的分离、化学及生物药物的定量分析以及抑制剂的筛选.