摘要：杜威是20世纪美国进步主义教育思想的杰出代表。本文在分析杜威进步主义教育思想本质内涵的基础上,对我国高等教育课程资源建设进行了探讨,以期通过提升课程设计的可行性促进学生能力提升,进而促进我国社会经济的健康发展。

摘要：《晶报》是民国初年上海地区具有代表性的小报，列于小报界“四大金刚”之首，在当时的社会具有很重要的地位。文章分析发现《晶报》之所以广受欢迎，和它独特的编辑风格有着密不可分的关系。《晶报》凭借其体裁丰富、语言有趣、图文并茂、广告多样、名人效应、读者定位、作者广泛七个办刊特色，成为小报界的领军人物。

摘要：文章采用Top-Down的方法设计了AMBA2.0总线IP核,它包括AHB和APB两个子IP核。所有AMBA结构模块均实现了RTL级建模,对其中较复杂的仲裁器和AHB/APB桥模块给出了详细的描述。该IP完成了FPGA的验证,最高频率为53.6MHz。在ASIC0.18μm标准单元库下对该IP进行综合与优化,最高频率可以达到150MHz。

摘要：近年来随着高通量基因测序技术的迅速发展，测序成本和周期都得到了大幅降低．然而，新一代测序技术海量数据生成能力以及各类测序算法蕴含的高并发性却对现有计算机的运算能力提出了新挑战．以一个基于Hash索引算法实现的开源重测序程序（PerM）为例，研究了在商用多核CPU上加速该应用程序的关键技术．在一个64核SMP系统上的实验结果证明，提出的优化技术可以使Cache缺失率降低90％，性能提升4～11倍．接下来探讨了在一个包含XilinxLX330FPGA的加速卡上设计实现专用并行加速系统的相关问题．作为原型验证系统，在基于FPGA的PCIe加速卡上设计并实现了包含11个处理单元的脉动陈列并行计算系统．和IntelXeonX75508核CPU相比，提出的并行加速器有30～65倍性能功耗比优势．

摘要：The wide acceptance and data deluge in medical imaging processing require faster and more efficient systems to be *** to the advances in heterogeneous architectures recently,there has been a resurgence in the first research aimed at FPGA-based as well as GPGPU-based accelerator *** paper quantitatively analyzes the workload,computational intensity and memory performance of a single-particle 3D reconstruction application,called EMAN,and parallelizes it on CUDA GPGPU architectures and decouples the memory operations from the computing flow and orchestrates the thread-data mapping to reduce the overhead of off-chip memory *** it exploits the trend towards FPGA-based accelerator design,which is achieved by offloading computingintensive kernels to dedicated hardware ***,a customized memory subsystem is also designed to facilitate the decoupling and optimization of computing dominated data access *** paper evaluates the proposed accelerator design strategies by comparing it with a parallelized program on a 4-cores *** CUDA version on a GTX480 shows a speedup of about 6 *** performance of the stream architecture implemented on a Xilinx Virtex LX330 FPGA is justified by the reported speedup of 2.54 ***,measured in terms of power efficiency,the FPGA-based accelerator outperforms a 4-cores CPU and a GTX480 by 7.3 times and 3.4 times,respectively.