随着地震勘探的不断深入,对薄互层反射机理的研究变得越来越重要。为了准确获得薄层的频率特性并了解其时移变化规律,本文从弹性波动理论出发,讨论分析了薄层的反射AVA/AVF(amplitude variation with incident angle/amplitude variatio...随着地震勘探的不断深入,对薄互层反射机理的研究变得越来越重要。为了准确获得薄层的频率特性并了解其时移变化规律,本文从弹性波动理论出发,讨论分析了薄层的反射AVA/AVF(amplitude variation with incident angle/amplitude variation with frequency)特征,并进行了数值模拟实验予以验证;基于实际测井资料和岩石物理等效介质理论,分析了含流体薄层的时移地震AVA/AVF特征。研究表明:薄层厚度和频率对薄层反射振幅响应的影响是等价的。随着薄层厚度的增加,薄层反射频率特性逐渐出现周期性变化;随着入射角度的增加,薄层反射频率特性逐渐向高频方向延伸。在薄层油气藏注水开发过程中,随着含水饱和度的增大,薄层反射P波频率特性向高频方向延伸,而薄层反射P-SV波频率特性基本保持不变。展开更多
Integrated with an improved architectural vulnerability factor （AVF） computing model, a new architectural level soft error reliability analysis framework, SS-SERA （soft error reliability analysis based on SimpleSca...Integrated with an improved architectural vulnerability factor （AVF） computing model, a new architectural level soft error reliability analysis framework, SS-SERA （soft error reliability analysis based on SimpleScalar）, was developed. SS-SERA was used to estimate the AVFs for various on-chip structures accurately. Experimental results show that the AVFs of issue queue （IQ）, register update units （RUU）, load store queue （LSQ） and functional unit （FU） are 38.11%, 22.17%, 23.05% and 24.43%, respectively. For address-based structures, i.e., levell data cache （LID）, DTLB, level2 unified cache （L2U）, levell instruction cache （LII） and ITLB, AVFs of their data arrays are 22.86%, 27.57%, 14.80%, 8.25% and 12.58%, lower than their tag arrays＇ AVFs which are 30.01%, 28.89%, 17.69%, 10.26% and 13.84%, respectively. Furthermore, using the AVF values obtained with SS-SERA, a qualitative and quantitative analysis of the AVF variation and predictability was performed for the structures studied. Experimental results show that the AVF exhibits significant variations across different structures and workloads, and is influenced by multiple microarchitectural metrics and their interactions. Besides, AVFs of SPEC2K floating point programs exhibit better predictability than SPEC2K integer programs.展开更多
文摘随着地震勘探的不断深入,对薄互层反射机理的研究变得越来越重要。为了准确获得薄层的频率特性并了解其时移变化规律,本文从弹性波动理论出发,讨论分析了薄层的反射AVA/AVF(amplitude variation with incident angle/amplitude variation with frequency)特征,并进行了数值模拟实验予以验证;基于实际测井资料和岩石物理等效介质理论,分析了含流体薄层的时移地震AVA/AVF特征。研究表明:薄层厚度和频率对薄层反射振幅响应的影响是等价的。随着薄层厚度的增加,薄层反射频率特性逐渐出现周期性变化;随着入射角度的增加,薄层反射频率特性逐渐向高频方向延伸。在薄层油气藏注水开发过程中,随着含水饱和度的增大,薄层反射P波频率特性向高频方向延伸,而薄层反射P-SV波频率特性基本保持不变。
基金Projects(60970036,60873016,61170045)supported by the National Natural Science Foundation of ChinaProjects(2009AA01Z102,2009AA01Z124)supported by the National High Technology Development Program of China
文摘Integrated with an improved architectural vulnerability factor （AVF） computing model, a new architectural level soft error reliability analysis framework, SS-SERA （soft error reliability analysis based on SimpleScalar）, was developed. SS-SERA was used to estimate the AVFs for various on-chip structures accurately. Experimental results show that the AVFs of issue queue （IQ）, register update units （RUU）, load store queue （LSQ） and functional unit （FU） are 38.11%, 22.17%, 23.05% and 24.43%, respectively. For address-based structures, i.e., levell data cache （LID）, DTLB, level2 unified cache （L2U）, levell instruction cache （LII） and ITLB, AVFs of their data arrays are 22.86%, 27.57%, 14.80%, 8.25% and 12.58%, lower than their tag arrays＇ AVFs which are 30.01%, 28.89%, 17.69%, 10.26% and 13.84%, respectively. Furthermore, using the AVF values obtained with SS-SERA, a qualitative and quantitative analysis of the AVF variation and predictability was performed for the structures studied. Experimental results show that the AVF exhibits significant variations across different structures and workloads, and is influenced by multiple microarchitectural metrics and their interactions. Besides, AVFs of SPEC2K floating point programs exhibit better predictability than SPEC2K integer programs.
