碳酸盐岩储层叠前逆时偏移及GPU/CPU异构计算方案研究

针对碳酸盐岩储层地质构造的特点,提出采用基于声波方程的叠前逆时偏移算法对其进行成像,并在偏移过程中引入优化差分系数和完全匹配层(PML)边界条件来提高波场的数值模拟精度,同时利用GPU/CPU异构并行加速技术对算法进行优化,从而显著提升偏移的计算效率。模型测试表明,与传统差分系数相比,同阶的优化差分系数具有更高精度,压制频散效果明显;PML边界条件能够有效的吸收边界反射,减少边界反射对有效波场的干扰;叠前逆时偏移方法可有效识别碳酸盐岩模型中的小尺寸孔洞和裂缝,归为准确,刻画清晰,对碳酸盐岩储层成像具有显著优势;GPU/CPU异构并行加速技术可明显提高偏移的计算效率,与传统CPU算法相比,加速比可达60倍,对于实际推广应用具有重要意义。     

嵌入式系统的计算机实现

以计算机系统结构的思想,基于Intel Xscale PXA255处理器,选用Linux为操作系统,实现了完整的嵌入式计算机.所提供的计算机系统对高性能的嵌入式应用具有平台支撑作用.     

1802微型计算机开发系统的研制

本文在论述微机开发系统一般问题的基础上,介绍了1820微型计算机开发系统的设计思想及主要特点。该系统设计合理,具有较强的功能,对1802通讯主机的进一步应用和开发有着很好的实用价值。     

Synthesis and characterization of hybrid graphene nanocoolant for heat transfer dissipation in microchannel heat sinks

An attempt is made to examine the effect of hybrid nanocoolant in microchannel heat sink for computer cooling.Two-hybrid coolants with graphene as one of the prime components are synthesized and images of the particles are shown using scanning electron microscopy(SEM) and transmission electron microscopy(TEM). Heat transfer properties like thermal conductivity of the hybrid fluid, specific heat, density, and viscosity are evaluated experimentally and theoretically. The heat transfer characteristics are also studied in heat sink channels of micro level in the processors of personal computers. The parameters like internal heat transfer coefficient, thermal resistances and base temperature representing the processor temperature are examined for the applied heater power of 325 W. The coolant dilution was varied in the range of 0.05 vol%, 0.075 vol% and 0.1 vol% and the base temperature is noted. The recorded lowest base temperature is 310.01 K for the concentration of 0.1 vol%graphene-iron oxide(GFO) system for 0.5 mm fin spacing for the graphene-iron oxide hybrid coolant and for graphene oxide–iron oxide(GOFO) hybrid coolant it is 311.24 K for the same operating conditions.     

CPU发展概述及国产化之路

基于当前芯片技术封锁及中国电子产品研发制造业如火如荼的大环境,文章对目前主流的CPU架构进行了整体概述,描述了X86架构和ARM架构下系列化产品的发展进程,并着重分析了国产化CPU的现状及RISC-V架构的发展前景。     

A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers

One of the major challenges facing cloud computing is to accurately predict future resource usage to provision data centers for future demands. Cloud resources are constantly in a state of flux, making it difficult for forecasting algorithms to produce accurate predictions for short times scales (ie, 5 minutes to 1 hour). This motivates the research presented in this paper, which compares nonlinear and linear forecasting methods with a sequence prediction algorithm known as a recurrent neural network to predict CPU utilization and network bandwidth usage for live migration. Experimental results demonstrate that a multitime-ahead prediction algorithm reduces bandwidth consumption during critical times and improves overall efficiency of a data center.     

图像灰度匹配在多核环境下的优化

随着计算机技术的不断发展,图像匹配已经成为图片处理的一个重要部分。在图像匹配中,图像的灰度匹配虽然具有匹配精度高的优点但却需要大量的计算时间,且计算时间随着使用模版的增大而大幅度增长。文章在多核的环境下使用内存优化与处理器亲和力优化方法来解决计算时间长的问题。实验结果表明,使用并行技术并结合内存优化与处理器优化方法可大幅度减少计算时间、提高缓存的命中率、避免乒乓效应的产生使并行程序的加速比与并行效率有所提高。     

基于arm的图像处理

图像处理技术广泛地运用于工业智能化、医学、仪表安全性测试、以及电子式消费等领域。本论文主要基于arm展开图像的处理分析。对系统的设计原理加以概述,图像处理的具体模块设计,主要包括CPU的型号选择及其设计以及arm型号选择及其设计2个部分。     

CPU片上热敏元件及布局研究

CPU芯片内部温度的准确测量是保证微处理器发挥最佳性能和提高芯片可靠性的重要前提.在对晶体管参数热效应进行理论分析的基础上,提出一种基于晶体管集电极电流热效应的片上热敏元件方案,推导和仿真证实所提方案元件具有较高的转换灵敏度.在对CPU芯片热点温度场进行理论分析的基础上,建议一种根据温度场分布特点的拐点圆上敏感元件对称布局方案,推导证实所提方案可改善测量精度.