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電腦組成與設計：硬體/軟體介面（原書第5版·RISC-V版·英文版）

為了解決warehouse英文的問題，作者（美）戴維·A.帕特森 這樣論述：

本書是經典著作《計算機組成與設計》繼MIPS版、ARM版之後的最新版本，這一版專注於RISC-V，是Patterson和Hennessy的又一力作。RISC-V指令集作為開源架構，是專為雲計算、移動計算以及各類嵌入式系統等現代計算環境設計的架構。本書更加關注後PC時代發生的變革，通過實例、練習等詳細介紹最新計算模式，更新的內容還包括平板電腦、雲基礎設施以及ARM（行動計算裝置）和x86 (雲計算)體系結構。 C H A P T E R S 1 Computer Abstractions and Technology 2 1.1 Introduction 3 1.2 Eight Great

Ideas in Computer Architecture 11 1.3 Below Your Program 13 1.4 Under the Covers 16 1.5 Technologies for Building Processors and Memory 24 1.6 Performance 28 1.7 The Power Wall 40 1.8 The Sea Change: The Switch from Uniprocessors to Multiprocessors 43 1.9 Real Stuff: Benchma the Intel Core i7 46 1.

10 Fallacies and Pitfalls 49 1.11 Concluding Remarks 52 1.12 Historical Perspective and Further Reading 54 1.13 Exercises 54 2 Instructions: Language of the Computer 60 2.1 Introduction 62 2.2 Operations of the Computer Hardware 63 2.3 Operands of the Computer Hardware 67 2.4 Signed and Unsigned Nu

mbers 74 2.5 Representing Instructions in the Computer 81 2.6 Logical Operations 89 2.7 Instructions for M Decisions 92 2.8 Supporting Procedures in Computer Hardware 98 2.9 Communicating with People 108 2.10 RISC-V Addressing for Wide Immediates and Addresses 113 2.11 Parallelism and Instructions:

Synchronization 121 2.12 Translating and Starting a Program 124 2.13 A C Sort Example to Put it All Together 133 2.14 Arrays versus Pointers 141 2.15 Advanced Material: Compiling C and Interpreting Java 144 2.16 Real Stuff: MIPS Instructions 145 2.17 Real Stuff: x86 Instructions 146 2.18 Real Stuff:

The Rest of the RISC-V Instruction Set 155 2.19 Fallacies and Pitfalls 157 2.20 Concluding Remarks 159 2.21 Historical Perspective and Further Reading 162 2.22 Exercises 162 3 Arithmetic for Computers 172 3.1 Introduction 174 3.2 Addition and Subtraction 174 3.3 Multiplication 177 3.4 Division 183

3.5 Floating Point 191 3.6 Parallelism and Computer Arithmetic: Subword Parallelism 216 3.7 Real Stuff: Streaming SIMD Extensions and Advanced Vector Extensions in x86 217 3.8 Going Faster: Subword Parallelism and Matrix Multiply 218 3.9 Fallacies and Pitfalls 222 3.10 Concluding Remarks 225 3.11 H

istorical Perspective and Further Reading 227 3.12 Exercises 227 4 The Processor 234 4.1 Introduction 236 4.2 Logic Design Conventions 240 4.3 Building a Datapath 243 4.4 A Simple Implementation Scheme 251 4.5 An Overview of Pipelining 262 4.6 Pipelined Datapath and Control 276 4.7 Data Hazards: Fo

rwarding versus Stalling 294 4.8 Control Hazards 307 4.9 Exceptions 315 4.10 Parallelism via Instructions 321 4.11 Real Stuff: The ARM Cortex-A53 and Intel Core i7 Pipelines 334 4.12 Going Faster: Instruction-Level Parallelism and Matrix Multiply 342 4.13 Advanced Topic: An Introduction to Digital D

esign Using a Hardware Design Language to Describe and Model a Pipeline and More Pipelining Illustrations 345 4.14 Fallacies and Pitfalls 345 4.15 Concluding Remarks 346 4.16 Historical Perspective and Further Reading 347 4.17 Exercises 347 5 Large and Fast: Exploiting Memory Hierarchy 364 5.1 Intr

oduction 366 5.2 Memory Technologies 370 5.3 The Basics of Caches 375 5.4 Measuring and Improving Cache Performance 390 5.5 Dependable Memory Hierarchy 410 5.6 Virtual Machines 416 5.7 Virtual Memory 419 5.8 A Common Framework for Memory Hierarchy 443 5.9 Using a Finite-State Machine to Control a Si

mple Cache 449 5.10 Parallelism and Memory Hierarchy: Cache Coherence 454 5.11 Parallelism and Memory Hierarchy: Redundant Arrays of Inexpensive Disks 458 5.12 Advanced Material: Implementing Cache Controllers 459 5.13 Real Stuff: The ARM Cortex-A53 and Intel Core i7 Memory Hierarchies 459 5.14 Real

Stuff: The Rest of the RISC-V System and Special Instructions 464 5.15 Going Faster: Cache Blo and Matrix Multiply 465 5.16 Fallacies and Pitfalls 468 5.17 Concluding Remarks 472 5.18 Historical Perspective and Further Reading 473 5.19 Exercises 473 6 Parallel Processors from Client to Cloud 490 6

.1 Introduction 492 6.2 The Difficulty of Creating Parallel Processing Programs 494 6.3 SISD, MIMD, SIMD, SPMD, and Vector 499 6.4 Hardware Multithreading 506 6.5 Multicore and Other Shared Memory Multiprocessors 509 6.6 Introduction to Graphics Processing Units 514 6.7 Clusters, Warehouse Scale Com

puters, and Other Message-Passing Multiprocessors 521 6.8 Introduction to Multiprocessor Network Topologies 526 6.9 Communicating to the Outside World: Cluster Netwo 529 6.10 Multiprocessor Benchmarks and Performance Models 530 6.11 Real Stuff: Benchma and Rooflines of the Intel Core i7 960 and the

NVIDIA Tesla GPU 540 6.12 Going Faster: Multiple Processors and Matrix Multiply 545 6.13 Fallacies and Pitfalls 548 6.14 Concluding Remarks 550 6.15 Historical Perspective and Further Reading 553 6.16 Exercises 553 A P P E N D I X The most beautiful thing we can experience is the mysterious. It

is the source of all true art and science. Albert Einstein, What I Believe, 1930 About This Book We believe that learning in computer science and engineering should reflect the current state of the field, as well as introduce the principles that are shaping computing. We also feel that readers

in every specialty of computing need to appreciate the organizational paradigms that determine the capabilities, performance, energy, and, ultimately, the success of computer systems. Modern computer technology requires professionals of every computing specialty to understand both hardware and so

ftware. The interaction between hardware and software at a variety of levels also offers a framework for understanding the fundamentals of computing. Whether your primary interest is hardware or software, computer science or electrical engineering, the central ideas in computer organization and desi

gn are the same. Thus, our emphasis in this book is to show the relationship between hardware and software and to focus on the concepts that are the basis for current computers. The recent switch from uniprocessor to multicore microprocessors confirmed the soundness of this perspective, given sinc

e the first edition. While programmers could ignore the advice and rely on computer architects, compiler writers, and silicon engineers to make their programs run faster or be more energy-efficient without change, that era is over. For programs to run faster, they must become parallel. While the goa

l of many researchers is to make it possible for programmers to be unaware of the underlying parallel nature of the hardware they are programming, it will take many years to realize this vision. Our view is that for at least the next decade, most programmers are going to have to understand the hardw

are/software interface if they want programs to run efficiently on parallel computers. The audience for this book includes those with little experience in assembly language or logic design who need to understand basic computer organization as well as readers with backgrounds in assembly language a

nd/or logic design who want to learn how to design a computer or understand how a system works and why it performs as it does. About the Other Book Some readers may be familiar with Computer Architecture: A Quantitative Approach, popularly known as Hennessy and Patterson. (This book in turn is o

ften called Patterson and Hennessy.) Our motivation in writing the earlier book was to describe the principles of computer architecture using solid engineering fundamentals and quantitative cost/performance tradeoffs. We used an approach that combined examples and measurements, based on commercial s

ystems, to create realistic design experiences. Our goal was to demonstrate that computer architecture could be learned using quantitative methodologies instead of a descriptive approach. It was intended for the serious computing professional who wanted a detailed understanding of computers. A maj

ority of the readers for this book do not plan to become computer architects. The performance and energy efficiency of future software systems will be dramatically affected, however, by how well software designers understand the basic hardware techniques at work in a system. Thus, compiler writers,

operating system designers, database programmers, and most other software engineers need a firm grounding in the principles presented in this book. Similarly, hardware designers must understand clearly the effects of their work on software applications. Thus, we knew that this book had to be much

more than a subset of the material in Computer Architecture, and the material was extensively revised to match the different audience. We were so happy with the result that the subsequent editions of Computer Architecture were revised to remove most of the introductory material; hence, there is much

less overlap today than with the first editions of both books. Why RISC-V for This Edition? The choice of instruction set architecture is

warehouse英文進入發燒排行的影片

自動化倉儲撒水特性分析

為了解決warehouse英文的問題，作者陳躍仁 這樣論述：

台灣網路購物興盛，為能有效率配置大量商品，物流業使用自動倉儲來進行貨品存放，發生火災時，其延燒速度均十分迅速。在自動倉儲中，自動撒水設備可在火災時第一時間有效滅火並侷限火勢，在無人化的工作環境中是消防單位與保險公司認為較可靠的滅火設備。國內的自動撒水設備主要參考日本法規之規範，為了方便官方審核，法規規範僅限以手算方式設計撒水系統，法規規範過於簡略，對於倉儲內貨架型式、貨架排數及貨品分類等均無較細緻之規定，難以對應實務面之需求。現今中美各國已結合設計理念及法規開發出電腦模擬軟體進行水力計算，而國內則仍僅限手算，與各國已有明顯差異。本研究比較國內、中國GB及美國NFPA法規分析國內自動倉儲案例，

以最低撒水密度值來看，國內規範明顯較其他2國低估，建議國內法規應增加適合國內實務現況倉儲內貨架型式、貨架排數、貨品分類及儲貨高度等分類，再依照分類繪製防護空間撒水密度及撒水頭間距等對照圖表，以期待設計之自動撒水系統符合儲物空間之滅火需求；並以水力計算軟體KYPIPE評估國內自動倉儲之自動撒水設備幫浦出水量以130L/min（K值＝114）之合理性，發現20個撒水頭系統尚能符合需求，24及30個系統均有不足之情形；以樹狀、環狀及網狀等3種配管模式模擬24個撒水頭放水，以網狀配管模式具有最高之滅火效能，搭配既設合法幫浦規格可以達到法定撒水密度，在不更改既設幫浦及水源情況下，對於既設倉儲提升撒水密度

提供了一個方法。

CNN主播最常用的新聞關鍵英語單字：【書+1片CD-ROM電腦互動光碟(含朗讀MP3)】

為了解決warehouse英文的問題，作者LiveABC互動英語教學集團 這樣論述：

　　平常老外講話我都聽得懂，字彙量也懂得夠多 　　為什麼CNN新聞都是一堆難懂的單字，鴨子聽雷一晃眼就過了？ 　　新聞英語學習障礙X 發憤要征服CNN的讀者 　　一切就從這本書開始吧！保證讓你跟CNN新聞的距離又跨進一大步 　　讓CNN新聞主播當你的英語家教 　　累積新聞英語單字量 從每天讀一段CNN開始 　　英語學習者最大的挑戰就是聽懂新聞英文，若能聽懂每則新聞的重要資訊，表示自己的英文程度更上一階，也會帶來莫大的成就感，已經不再是停留在一般生活對話的應用，而是能開始以英文溝通國際間的重要大事件。 　　但是要聽懂新聞英文最重要的就是單字，新聞中的單字跟一般日常生活

中所用到的極為不同，因為不同領域的資訊，例如科技新知、科學突破、社會學、甚至政治學，這些領域的專有名詞較少出現在日常生活中，但會時常出現在新聞播報內裡，使得學習者很難輕鬆的瞭解播報的內容，本書的目的就是從CNN的新聞片段中，挑選常見的重要單字或是最近正在談論的專業術語，幫助你順利的從一般生活英語進階到專業的新聞英文。 　　先來看看幾個你平常熟悉的單字，在新聞中的意思會是什麼呢？ 　　File 　　File常見的是名詞，表「檔案」，當動詞則表將文件歸檔，但在新聞中，file the law suit的file則表提出（法律訴訟） 　　Trash 　　Trash當名詞表「垃圾」，但當動詞時表

「丟棄；毀壞」，但在新聞中表「猛烈批評」。 　　例：It is not very noble to trash people behind their backs.在人家背後做人身攻擊不太高尚。 　　Launch 　　launch 表示將火箭、太空船等送上太空，或是將船下水。在新聞中另外也表示發動軍事進攻，如launch an attack、發動政治調查，如launch an inquiry、開始新案子，如launch a project等等。 　　例：The troops launched an attack on the city gates.軍隊發動攻擊城門。 　　400篇精選新聞

超過1200個熱門單字 跟著主播一起看新聞 　　本書精選400篇CNN新聞，每篇3個重點單字，共1200個重點新聞單字。每個單字除了音標、中譯、例句之外，還提供同義字、反義字、延伸字等，這些補充字量加起來總共約有3000字，幫助你快速增加認識的英語字彙，輕鬆了解新聞中常出現的詞彙。 　　另外，也依據新聞內容將這些片段分成14個主題，包含新聞中常見的政治、社會、經濟報導，也包含商業、科技、科學、自然等專業領域的新知，另外還特別選入藝文、運動、名人等文化、娛樂等方面的議題，可說是包羅萬象。這些主題所帶出的專業用語或新興詞彙，一定可以幫助你讀懂各種不同議題的新聞報導。 　　邊看CNN新聞邊加強閱

讀能力 快速理解句型及使用情境 　　本書以每則新聞片段為重點，讀者可以先由標題了解此片段大概的主題，接下來則是CNN原文新聞片段，再來進入單字部分，瞭解單字的中文字義，並繼續閱讀該字的完整意義、常見用詞等等，來確實瞭解此字的意思，並從例句中加深該字的用法。每段新聞的閱讀都依此順序，便能夠完整、確實的將該新聞單字徹底了解，也才能在下次遇到相同單字時，能迅速知道該字的意思。 　　CNN原文影音完整收錄，有效提升聽說能力！ 　　本書的豐富內容除了文字之外，另一項重點就是可以聆聽CNN新聞播報的原音。不管是用點讀筆(需另加購)，或是聆聽光碟中的MP3，都能聽到CNN主播們專業的播報，讓你能熟悉新聞播

報的速度、語調、甚至是口音等等，在開始聆聽課程內容前，可以先看看正在講話的是CNN主播還是受訪的政治人物、科學家，並從他們的頭銜或名字猜測他們的國籍，以對接下來會聽到的口音做準備。本書所提供的訓練，希望能幫助你快速的從一般生活英文進階到專業的新聞英文。  

桃園航空貨物集散站進口倉租收費作業整合之研究

為了解決warehouse英文的問題，作者廖經國 這樣論述：

透過網路資訊的發達與安全，線上支付已經發展為市場上的趨勢，配合及應用此一趨勢，改善既定的航空貨物集散站以傳統的領貨與收費流程模式有其必要，現今金融科技的進步，目前的航空貨物集散站收費系統亦可與時俱進，為了節省人力與時間與作業上的流暢，更快完成領貨等相關作業，因此本研究將桃園航空貨物集散站收費模式系統作為研究主題，並以質性研究，透過與專家深度訪談方式，收集整理相關業者資深主管經驗與觀察，分析航空貨物集散站收費系統作業流程相關因素，與專家討論相關關鍵因素與作業流程。本研究以非結構性之個別訪談，深入收集資深專業經理人的經驗，進而瞭解更深層次的問題，研究結果顯示，航空貨物集散站如果要導入收費系統，產

業界及業界高階主管均認為是可行的，航空貨物集散站導入線上收費系統需整合、金流、資訊流、作業狀況，大部份主觀認為會有所改變與帶來相關效益，在作業上簡化程序與，並優化及航空貨物集散站收費與作業效率。對於可能遇到的問題有風險安全、作業系統的改善，帳務管理優化、銀行的配合、政府與相關產業公會的支持與貨物提領作業的有效分流管理。