umatcrystal_mod

惠普z230工作站bios编程器固件，添加nvme模块，修复网卡mac，修复me导致的开机卡30秒报错(HP z230 workstation BIOS programmer firmware, adding nvme module, repairing network card mac, repairing boot card 30 seconds error caused by me)

说明：  demo for ase database, powerbuilder

说明：  极化SAR图像的yamaguchi4分解代码(Yamaguchi 4 decomposition code for polarimetric SAR images)

中控sdk，内含push sdk，还有C#的源码(zkt-sdk SDK, containing push SDK, as well as C# source code)

基本的常数模算法，用于信道的盲自适应算法。-Basic constant modulus algorithm for blind channel adaptive algorithm.

GBT_17626.4-2008_电磁兼容_试验和测量技术_电快速瞬变脉冲群抗扰度试验.pdf(GBT_17626.4-2008_ _ EMC test and measurement techniques _ electrical fast transient burst immunity test)

stc15f104 UART串口发送字符控制继电器开关(Stc15f104 UART serial port to send character control relay switch)

说明：  画二维声子晶体周期结构的能带曲线，能读origin里的数据(Draw the energy band curve of two-dimensional phononic crystal periodic structure, and read the origin data.)

说明：  实现了LMS算法的函数，可以帮助学习最小二乘算法，有一定的学习作用，亲测有效(The function of LMS algorithm is realized, which can help to learn the least squares algorithm. It has certain learning function and is effective for personal measurement)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)