三维合成炮叠前深度偏移

对国际上标准的SEG/EAEG模型进行了三维合成炮叠前偏移研究。与三维单炮叠前深度偏移不同 ,三维合成炮叠前偏移有一个叠前数据的合成过程 ,由于合成后数据量大大减少 ,所以合成炮偏移的计算量要比单炮偏移小得多。阐述了三维合成炮叠前偏移的实现过程 ,给出了相应公式。对SEG/EAEG盐丘模型的一个数据集进行了MPI并行计算 ,取得了良好的成像效果。所作的较多计算表明了三维合成炮叠前偏移的正确性和有效性 ,这为野外实际数据的三维叠前深度偏移提供了另一条有效途径。     

High performance air pollution modeling for a power plant environment

The aim of this work is to provide a high performance air quality simulation using the STEM-II (Sulphur Transport Eulerian Model 2) program, a large-scale pollution modeling application. First, we optimize the sequential program with the aim of increasing data locality. Then, we parallelized the program using OpenMP directives for shared memory systems, and the MPI library for distributed memory machines. Performance results are presented for a SGI O2000 multiprocessor, a Fujitsu AP3000 multicomputer and a Cluster of PCs. Experimental results show that the parallel versions of the code achieve important reductions in the CPU time needed by each simulation. This will allow us to obtain results with adequate speed and reliability for the industrial environment where it is intended to be applied.     

MPI树脂基复合材料研究

简述了碳纤维增强 MPI树脂基复合材料的制造工艺。研究表明 :AS4 /MPI复合材料 371℃力学性能保持率 >5 0 % ,复合材料在 371℃、 10 0 h的失重率为 2 .2 5 % ,表明其具有较好的耐热氧化稳定性 (TOS)     

西门子工业控制网络在棒材连轧生产线的应用

本文通过对包钢棒材连轧线的工业控制网络的由分体到整体的介绍,将西门子公司的三级控制网络(Profibus-DP网络、MPI网络、工业以太网)思想做了一个全面的说明.通过与现场实际相结合,使人们对这一概念有了更加清晰的认识.文章最后还结合作者的一些体会作了总结.     

SEG/EAEG盐丘模型的三维分步傅里叶炮集叠前深度偏移

用分步傅里叶法对SEG／EAEG盐丘模型进行了三维叠前深度偏移，在偏移中，采用相位编码方法，使得每次可以同时进行多炮偏移，节省了计算量。在计算中，采用了MPI并行算法，提高了计算效率，数值计算得到了三维SEG／EAEG盐丘模型的精确成像结果，这表明三维分步傅立叶法叠前深度偏移是一种精度良好且高效的方法，该方法可用于对三维复杂构造的精确高效成像，具有良好的实用性。     

Observer-invariant histopathology using genetics-based machine learning

Prostate cancer accounts for one-third of noncutaneous cancers diagnosed in US men and is a leading cause of cancer-related death. Advances in Fourier transform infrared spectroscopic imaging now provide very large data sets describing both the structural and local chemical properties of cells within prostate tissue. Uniting spectroscopic imaging data and computer-aided diagnoses (CADx), our long term goal is to provide a new approach to pathology by automating the recognition of cancer in complex tissue. The first step toward the creation of such CADx tools requires mechanisms for automatically learning to classify tissue types—a key step on the diagnosis process. Here we demonstrate that genetics-based machine learning (GBML) can be used to approach such a problem. However, to efficiently analyze this problem there is a need to develop efficient and scalable GBML implementations that are able to process very large data sets. In this paper, we propose and validate an efficient GBML technique——based on an incremental genetics-based rule learner. exploits massive parallelisms via the message passing interface (MPI) and efficient rule-matching using hardware-implemented operations. Results demonstrate that is capable of performing prostate tissue classification efficiently, making a compelling case for using GBML implementations as efficient and powerful tools for biomedical image processing.     

The design and implementation of Visuel performance monitoring and analysis toolkit for cluster and grid environments

The computing power provided by high performance and low-cost PC-based clusters with Grid platforms are attractive and they are equal or superior to supercomputers and mainframes. In this paper, we present implementation and design rationale of Visuel toolkit for MPI parallel program performance measurement and analysis in cluster and grid environments. Most of performance visualization tools available today for high-performance platforms show solely system performance data (e.g., CPU load, memory usage, network bandwidth, server average load), and thus, being suitable for computing system activity visualization. The Visuel (Visuel (in French language) = to visualize) toolkit is web-based interface designed to show performance activities of all computing nodes of a distributed environment involved in the execution of MPI parallel program, such as CPU load level and memory usage of each computing node. In addition, this toolkit is able to display comparative performance data charts of MPI parallel applications and multiple executions under investigation. The usage of this toolkit shows that it outperforms in easing the process of investigation of parallel applications.

MPI总线在矿井提升机中的应用

阐述了MPI总线的连接构成和与PLC的通讯方案,结合矿井提升机阐述了MPI总线在矿井提升机电控系统上的应用。     

非阻塞点到点通信对局部阻塞点到点通信的模拟

全局阻塞点到点通信易导致死锁,而局部阻塞点到点通信可缓解或避免此问题,但有些消息传递系统不提供局部阻塞点到点通信,需要模拟实现之.文中给出基于MPI的BLACS中用非阻塞点到点通信模拟局部阻塞点到点通信的方法,并作了些改进.