arm架构 指令集 寄存器 内存架构等介绍

Essentials of Computer Architecture, Second Edition by Douglas Comer 2017 | ISBN: 1138626597 | English | 535 pages | True PDF | 4 MB This easy to read textbook provides an introduction to computer architecture, while focusing on the essential aspects of hardware that programmers need to know. The topics are explained from a programmer’s point of view, and the text emphasizes consequences for programmers. Divided in five parts, the book covers the basics of digital logic, gates, and data paths, as well as the three primary aspects of architecture: processors, memories, and I/O systems. The book also covers advanced topics of parallelism, pipelining, power and energy, and performance. A hands-on lab is also included. The second edition contains three new chapters as well as changes and updates throughout.

Computer_Organization and Architecture_7e solution 计算机组织于体系结构答案 非常难得的资源

matlab中的plp代码使用 DNN 进行语音活动检测的特征和架构研究 该工具包提供了威斯康星大学麦迪逊分校电气和计算机工程系硕士论文（使用深度神经网络进行语音活动检测的特征和架构研究）中使用的代码。 介绍 该工具包基于以下工作：[1]。 该工具包的附加值是特征分析部分。 本工具包中的 SAD 遵循以下步骤： 声学特征提取 使用Python从语音中提取以下特征： MRCG MFCC 全球气候变化委员会 RASTA-PLP（在 Matlab 中从 Python 中提取） AMS 能量 + 过零（在 Matlab 中从 Python 中提取） 多分辨率 MFCC - 为本文创建的新功能 多分辨率 MFCC (MR-MFCC)： 此功能背后的主要思想是对语音信号的多分辨率频谱表示进行编码，以捕获本地信息和频谱时间上下文。 此功能的灵感来自多分辨率耳蜗图 (MRCG)，发现它对 SAD 有益，但遵循计算复杂度较低的提取方案。 MR-MFCC 分三步提取： 从 25ms 窗口计算 40 维 MFCC 从长度为 200ms 的窗口计算 MFCC 将结果连接到一个向量以生成具有 80 维的特征。

PyTorch VAE 在pytorch中实现的变体自动编码器（VAE）的集合，着重于可重复性。 该项目的目的是为其中许多很酷的VAE模型提供一个快速简单的工作示例。 所有模型都在上进行了训练，以一致性和比较性。 所有模型的架构在相同的层上都保持尽可能相似，除非原始论文需要根本不同的架构（例如，VQ VAE使用残差层，不使用批处理规范，这与其他模型不同）。 这是每个模型的。 要求 Python> = 3.5 PyTorch> = 1.3 Pytorch Lightning> = 0.6.0（ ） 启用CUDA的计算设备 安装 $ git clone https://github.co

PCI-to-PCI Bridge Architecture Specification，作为 PCI local bus的扩展，主要描述了对pci桥的建议。不知道怎么搞的把下载所需积分改小后，系统会自动把积分改回来，如果觉得积分太多就联系我吧

最近在学习 computer architecture a quantitative approach 5th edition，发现很多下载的答案没有appendix，用Google找了很久找到了appendix的答案，希望给大家带来帮助

最近在学习 computer architecture a quantitative approach 5th edition，发现很多下载的答案没有appendix，用Google找了很久找到了appendix的答案，希望给大家带来帮助

Thinking Architecturally New software technology appears every year. Like clockwork, another language, library, pattern, or approach will arrive on the scene with plenty of hype and developer enthusiasm. As someone whose job requires making architectural decisions, you need to evaluate these new technologies with an eye toward the inevitable tradeoffs before deciding if a new framework or language is right for your project. In this ebook, solution architect Nathaniel Schutta guides tech leads, senior developers, junior developers, and of course, practicing architects through the process of appraising promising new technologies. Recognizing how today’s tech is informed by the past is a key part—some approaches that didn’t work years ago might now have all the ingredients to succeed. You’ll learn how to make effective decisions regarding the use of new tech solutions and explore the value of fitness functions to ensure that your ultimate choice is reflected in the codebase. Get guidelines, techniques, and advice for evaluating new tools and technologies Determine the unique needs your project before deciding which technology to use Examine documentation, codebase, testability, and other criteria when evaluating new tools Learn approaches for introducing new technology to skeptical people in the company and on your team Manage the quality attributes of your system once new technology is introduced Learn practical techniques to stay current in an ever evolving industry

Software Architecture: a Roadmap文献阅读报告