Endianness Or Where Is Byte 0? December 2005
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Frequently Asked Questions in Mathematics
Frequently Asked Questions in Mathematics The Sci.Math FAQ Team. Editor: Alex L´opez-Ortiz e-mail: [email protected] Contents 1 Introduction 4 1.1 Why a list of Frequently Asked Questions? . 4 1.2 Frequently Asked Questions in Mathematics? . 4 2 Fundamentals 5 2.1 Algebraic structures . 5 2.1.1 Monoids and Groups . 6 2.1.2 Rings . 7 2.1.3 Fields . 7 2.1.4 Ordering . 8 2.2 What are numbers? . 9 2.2.1 Introduction . 9 2.2.2 Construction of the Number System . 9 2.2.3 Construction of N ............................... 10 2.2.4 Construction of Z ................................ 10 2.2.5 Construction of Q ............................... 11 2.2.6 Construction of R ............................... 11 2.2.7 Construction of C ............................... 12 2.2.8 Rounding things up . 12 2.2.9 What’s next? . 12 3 Number Theory 14 3.1 Fermat’s Last Theorem . 14 3.1.1 History of Fermat’s Last Theorem . 14 3.1.2 What is the current status of FLT? . 14 3.1.3 Related Conjectures . 15 3.1.4 Did Fermat prove this theorem? . 16 3.2 Prime Numbers . 17 3.2.1 Largest known Mersenne prime . 17 3.2.2 Largest known prime . 17 3.2.3 Largest known twin primes . 18 3.2.4 Largest Fermat number with known factorization . 18 3.2.5 Algorithms to factor integer numbers . 18 3.2.6 Primality Testing . 19 3.2.7 List of record numbers . 20 3.2.8 What is the current status on Mersenne primes? . -
Chapter 7 Expressions and Assignment Statements
Chapter 7 Expressions and Assignment Statements Chapter 7 Topics Introduction Arithmetic Expressions Overloaded Operators Type Conversions Relational and Boolean Expressions Short-Circuit Evaluation Assignment Statements Mixed-Mode Assignment Chapter 7 Expressions and Assignment Statements Introduction Expressions are the fundamental means of specifying computations in a programming language. To understand expression evaluation, need to be familiar with the orders of operator and operand evaluation. Essence of imperative languages is dominant role of assignment statements. Arithmetic Expressions Their evaluation was one of the motivations for the development of the first programming languages. Most of the characteristics of arithmetic expressions in programming languages were inherited from conventions that had evolved in math. Arithmetic expressions consist of operators, operands, parentheses, and function calls. The operators can be unary, or binary. C-based languages include a ternary operator, which has three operands (conditional expression). The purpose of an arithmetic expression is to specify an arithmetic computation. An implementation of such a computation must cause two actions: o Fetching the operands from memory o Executing the arithmetic operations on those operands. Design issues for arithmetic expressions: 1. What are the operator precedence rules? 2. What are the operator associativity rules? 3. What is the order of operand evaluation? 4. Are there restrictions on operand evaluation side effects? 5. Does the language allow user-defined operator overloading? 6. What mode mixing is allowed in expressions? Operator Evaluation Order 1. Precedence The operator precedence rules for expression evaluation define the order in which “adjacent” operators of different precedence levels are evaluated (“adjacent” means they are separated by at most one operand). -
Operators and Expressions
UNIT – 3 OPERATORS AND EXPRESSIONS Lesson Structure 3.0 Objectives 3.1 Introduction 3.2 Arithmetic Operators 3.3 Relational Operators 3.4 Logical Operators 3.5 Assignment Operators 3.6 Increment and Decrement Operators 3.7 Conditional Operator 3.8 Bitwise Operators 3.9 Special Operators 3.10 Arithmetic Expressions 3.11 Evaluation of Expressions 3.12 Precedence of Arithmetic Operators 3.13 Type Conversions in Expressions 3.14 Operator Precedence and Associability 3.15 Mathematical Functions 3.16 Summary 3.17 Questions 3.18 Suggested Readings 3.0 Objectives After going through this unit you will be able to: Define and use different types of operators in Java programming Understand how to evaluate expressions? Understand the operator precedence and type conversion And write mathematical functions. 3.1 Introduction Java supports a rich set of operators. We have already used several of them, such as =, +, –, and *. An operator is a symbol that tells the computer to perform certain mathematical or logical manipulations. Operators are used in programs to manipulate data and variables. They usually form a part of mathematical or logical expressions. Java operators can be classified into a number of related categories as below: 1. Arithmetic operators 2. Relational operators 1 3. Logical operators 4. Assignment operators 5. Increment and decrement operators 6. Conditional operators 7. Bitwise operators 8. Special operators 3.2 Arithmetic Operators Arithmetic operators are used to construct mathematical expressions as in algebra. Java provides all the basic arithmetic operators. They are listed in Tabled 3.1. The operators +, –, *, and / all works the same way as they do in other languages. -
ARM Instruction Set
4 ARM Instruction Set This chapter describes the ARM instruction set. 4.1 Instruction Set Summary 4-2 4.2 The Condition Field 4-5 4.3 Branch and Exchange (BX) 4-6 4.4 Branch and Branch with Link (B, BL) 4-8 4.5 Data Processing 4-10 4.6 PSR Transfer (MRS, MSR) 4-17 4.7 Multiply and Multiply-Accumulate (MUL, MLA) 4-22 4.8 Multiply Long and Multiply-Accumulate Long (MULL,MLAL) 4-24 4.9 Single Data Transfer (LDR, STR) 4-26 4.10 Halfword and Signed Data Transfer 4-32 4.11 Block Data Transfer (LDM, STM) 4-37 4.12 Single Data Swap (SWP) 4-43 4.13 Software Interrupt (SWI) 4-45 4.14 Coprocessor Data Operations (CDP) 4-47 4.15 Coprocessor Data Transfers (LDC, STC) 4-49 4.16 Coprocessor Register Transfers (MRC, MCR) 4-53 4.17 Undefined Instruction 4-55 4.18 Instruction Set Examples 4-56 ARM7TDMI-S Data Sheet 4-1 ARM DDI 0084D Final - Open Access ARM Instruction Set 4.1 Instruction Set Summary 4.1.1 Format summary The ARM instruction set formats are shown below. 3 3 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 9876543210 1 0 9 8 7 6 5 4 3 2 1 0 9 8 7 6 5 4 3 2 1 0 Cond 0 0 I Opcode S Rn Rd Operand 2 Data Processing / PSR Transfer Cond 0 0 0 0 0 0 A S Rd Rn Rs 1 0 0 1 Rm Multiply Cond 0 0 0 0 1 U A S RdHi RdLo Rn 1 0 0 1 Rm Multiply Long Cond 0 0 0 1 0 B 0 0 Rn Rd 0 0 0 0 1 0 0 1 Rm Single Data Swap Cond 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 Rn Branch and Exchange Cond 0 0 0 P U 0 W L Rn Rd 0 0 0 0 1 S H 1 Rm Halfword Data Transfer: register offset Cond 0 0 0 P U 1 W L Rn Rd Offset 1 S H 1 Offset Halfword Data Transfer: immediate offset Cond 0 -
Endian: from the Ground up a Coordinated Approach
WHITEPAPER Endian: From the Ground Up A Coordinated Approach By Kevin Johnston Senior Staff Engineer, Verilab July 2008 © 2008 Verilab, Inc. 7320 N MOPAC Expressway | Suite 203 | Austin, TX 78731-2309 | 512.372.8367 | www.verilab.com WHITEPAPER INTRODUCTION WHat DOES ENDIAN MEAN? Data in Imagine XYZ Corp finally receives first silicon for the main Endian relates the significance order of symbols to the computers chip for its new camera phone. All initial testing proceeds position order of symbols in any representation of any flawlessly until they try an image capture. The display is kind of data, if significance is position-dependent in that regularly completely garbled. representation. undergoes Of course there are many possible causes, and the debug Let’s take a specific type of data, and a specific form of dozens if not team analyzes code traces, packet traces, memory dumps. representation that possesses position-dependent signifi- There is no problem with the code. There is no problem cance: A digit sequence representing a numeric value, like hundreds of with data transport. The problem is eventually tracked “5896”. Each digit position has significance relative to all down to the data format. other digit positions. transformations The development team ran many, many pre-silicon simula- I’m using the word “digit” in the generalized sense of an between tions of the system to check datapath integrity, bandwidth, arbitrary radix, not necessarily decimal. Decimal and a few producer and error correction. The verification effort checked that all other specific radixes happen to be particularly useful for the data submitted at the camera port eventually emerged illustration simply due to their familiarity, but all of the consumer. -
PYTHON BASIC OPERATORS Rialspo Int.Co M/Pytho N/Pytho N Basic O Perato Rs.Htm Copyrig Ht © Tutorialspoint.Com
PYTHON BASIC OPERATORS http://www.tuto rialspo int.co m/pytho n/pytho n_basic_o perato rs.htm Copyrig ht © tutorialspoint.com What is an operator? Simple answer can be g iven using expression 4 + 5 is equal to 9. Here, 4 and 5 are called operands and + is called operator. Python lang uag e supports the following types of operators. Arithmetic Operators Comparison (i.e., Relational) Operators Assig nment Operators Log ical Operators Bitwise Operators Membership Operators Identity Operators Let's have a look on all operators one by one. Python Arithmetic Operators: Assume variable a holds 10 and variable b holds 20, then: [ Show Example ] Operator Description Example + Addition - Adds values on either side of the a + b will g ive 30 operator - Subtraction - Subtracts rig ht hand operand a - b will g ive -10 from left hand operand * Multiplication - Multiplies values on either side a * b will g ive 200 of the operator / Division - Divides left hand operand by rig ht b / a will g ive 2 hand operand % Modulus - Divides left hand operand by rig ht b % a will g ive 0 hand operand and returns remainder ** Exponent - Performs exponential (power) a**b will g ive 10 to the power 20 calculation on operators // Floor Division - The division of operands 9//2 is equal to 4 and 9.0//2.0 is equal to where the result is the quotient in which the 4.0 dig its after the decimal point are removed. Python Comparison Operators: Assume variable a holds 10 and variable b holds 20, then: [ Show Example ] Operator Description Example == Checks if the value of two operands are equal (a == b) is not true. -
Multiplication and Division Instructions
MultiplicationMultiplication andand DivisionDivision InstructionsInstructions • MUL Instruction • IMUL Instruction • DIV Instruction • Signed Integer Division • Implementing Arithmetic Expressions Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 1 MULMUL InstructionInstruction • The MUL (unsigned multiply) instruction multiplies an 8-, 16-, or 32-bit operand by either AL, AX, or EAX. • The instruction formats are: MUL r/m8 MUL r/m16 MUL r/m32 Implied operands: Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 2 MULMUL ExamplesExamples 100h * 2000h, using 16-bit operands: .data val1 WORD 2000h The Carry flag indicates whether or val2 WORD 100h not the upper half of .code the product contains mov ax,val1 significant digits. mul val2 ; DX:AX = 00200000h, CF=1 12345h * 1000h, using 32-bit operands: mov eax,12345h mov ebx,1000h mul ebx ; EDX:EAX = 0000000012345000h, CF=0 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 3 YourYour turnturn .. .. .. What will be the hexadecimal values of DX, AX, and the Carry flag after the following instructions execute? mov ax,1234h mov bx,100h mul bx DX = 0012h, AX = 3400h, CF = 1 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 4 YourYour turnturn .. .. .. What will be the hexadecimal values of EDX, EAX, and the Carry flag after the following instructions execute? mov eax,00128765h mov ecx,10000h mul ecx EDX = 00000012h, EAX = 87650000h, CF = 1 Irvine, Kip R. Assembly Language for Intel-Based Computers, 2003. 5 IMULIMUL InstructionInstruction • IMUL (signed integer multiply ) multiplies an 8-, 16-, or 32-bit signed operand by either AL, AX, or EAX • Preserves the sign of the product by sign-extending it into the upper half of the destination register Example: multiply 48 * 4, using 8-bit operands: mov al,48 mov bl,4 imul bl ; AX = 00C0h, OF=1 OF=1 because AH is not a sign extension of AL. -
Real-Time Embedded Systems
Real-Time Embedded Systems Ch3: Microprocessor Objectives Microprocessor Characteristics Von Neumann and Harvard architectures I/O Addressing Endianness Memory organization of some classic microprocessors ◦ PIC18F8720 ◦ Intel 8086 ◦ Intel Pentium ◦ Arm X. Fan: Real-Time Embedded Systems 2 Some microprocessors used in embedded systems 3 Microprocessor Architectures Von Neumann Architecture ◦ Data and instructions (executable code) are stored in the same address space. ◦ The processor interfaces to memory through a single set of address/data buses. Harvard Architecture ◦ Data and instructions (executable code) are stored in separate address spaces. ◦ There are two sets of address/data buses between processor and memory. Complex Instruction Set Computer (CISC) ◦ runs “complex instructions“ where a single instruction may execute several low-level operations Reduced Instruction Set Computer (RISC) ◦ runs compact, uniform instructions where the amount of work any single instruction accomplishes is reduced. 4 Other Stuff Processing Width ◦ Width ◦ Word I/O Addressing ◦ Special instruction vs memory mapped Reset Vector ◦ Intell – high end of address space ◦ PIC/ and Motorolla (Frescale, NXT….) low ◦ Arm definable ◦ Why put it on end or the other? X. Fan: Real-Time Embedded Systems 5 Endianness VS 6 Endianness Whether integers are presented from left to right or right to left ◦ Little-endian: the least significant byte stored at the lowest memory address ◦ Big-endian: the most significant byte stored at the lowest memory address 7 System Convention Be internally consistent ◦ Endianness ◦ Data formats ◦ Protocols ◦ Units Do conversion ASAP and ALAP ◦ On and off the wire X. Fan: Real-Time Embedded Systems 8 PIC18F8720 9 PIC18F8720: Memory organization 10 PIC18F8720: EMI Operating mode: Word Write Mode This mode allows instruction fetches and table reads from, and table writes to, all forms of 16-bit (word-wide) external memories. -
Mathematics Learning
1 Key understandings in mathematics learning Paper 1: Overview By Terezinha Nunes, Peter Bryant and Anne Watson, University of Oxford A review commissioned by the Nuffield Foundation 2 PaperSUMMARY 1: Overview – PAPER 2: Understanding whole numbers About this review In 2007, the Nuffield Foundation commissioned a Contents team from the University of Oxford to review the available research literature on how children learn Summary of findings 3 mathematics. The resulting review is presented in a series of eight papers: Overview 10 Paper 1: Overview References 36 Paper 2: Understanding extensive quantities and whole numbers Paper 3: Understanding rational numbers and intensive quantities About the authors Paper 4: Understanding relations and their graphical Terezinha Nunes is Professor of Educational representation Studies at the University of Oxford. Paper 5: Understanding space and its representation Peter Bryant is Senior Research Fellow in the in mathematics Department of Education, University of Oxford. Paper 6: Algebraic reasoning Anne Watson is Professor of Mathematics Paper 7: Modelling, problem-solving and integrating Education at the University of Oxford. concepts Paper 8: Methodological appendix About the Nuffield Foundation Papers 2 to 5 focus mainly on mathematics relevant The Nuffield Foundation is an endowed to primary schools (pupils to age 11 y ears), while charitable trust established in 1943 by William papers 6 and 7 consider aspects of mathematics Morris (Lord Nuffield), the founder of Morris in secondary schools. Motors, with the aim of advancing social w ell being. We fund research and pr actical Paper 1 includes a summar y of the review, which experiment and the development of capacity has been published separately as Introduction and to undertake them; working across education, summary of findings. -
Lecture #2 "Computer Systems Big Picture"
18-600 Foundations of Computer Systems Lecture 2: “Computer Systems: The Big Picture” John P. Shen & Gregory Kesden 18-600 August 30, 2017 CS: AAP CS: APP ➢ Recommended Reference: ❖ Chapters 1 and 2 of Shen and Lipasti (SnL). ➢ Other Relevant References: ❖ “A Detailed Analysis of Contemporary ARM and x86 Architectures” by Emily Blem, Jaikrishnan Menon, and Karthikeyan Sankaralingam . (2013) ❖ “Amdahl’s and Gustafson’s Laws Revisited” by Andrzej Karbowski. (2008) 8/30/2017 (©J.P. Shen) 18-600 Lecture #2 1 18-600 Foundations of Computer Systems Lecture 2: “Computer Systems: The Big Picture” 1. Instruction Set Architecture (ISA) a. Hardware / Software Interface (HSI) b. Dynamic / Static Interface (DSI) c. Instruction Set Architecture Design & Examples 2. Historical Perspective on Computing a. Major Epochs of Modern Computers b. Computer Performance Iron Law (#1) 3. “Economics” of Computer Systems a. Amdahl’s Law and Gustafson’s Law b. Moore’s Law and Bell’s Law 8/30/2017 (©J.P. Shen) 18-600 Lecture #2 2 Anatomy of Engineering Design SPECIFICATION: Behavioral description of “What does it do?” Synthesis: Search for possible solutions; pick best one. Creative process IMPLEMENTATION: Structural description of “How is it constructed?” Analysis: Validate if the design meets the specification. “Does it do the right thing?” + “How well does it perform?” 8/30/2017 (©J.P. Shen) 18-600 Lecture #2 3 [Gerrit Blaauw & Fred Brooks, 1981] Instruction Set Processor Design ARCHITECTURE: (ISA) programmer/compiler view = SPECIFICATION • Functional programming model to application/system programmers • Opcodes, addressing modes, architected registers, IEEE floating point IMPLEMENTATION: (μarchitecture) processor designer view • Logical structure or organization that performs the ISA specification • Pipelining, functional units, caches, physical registers, buses, branch predictors REALIZATION: (Chip) chip/system designer view • Physical structure that embodies the implementation • Gates, cells, transistors, wires, dies, packaging 8/30/2017 (©J.P. -
KVM on POWER7
Developments in KVM on Power Paul Mackerras, IBM LTC OzLabs [email protected] Outline . Introduction . Little-endian support . OpenStack . Nested virtualization . Guest hotplug . Hardware error detection and recovery 2 21 October 2013 © 2013 IBM Introduction • We will be releasing POWER® machines with KVM – Announcement by Arvind Krishna, IBM executive • POWER8® processor disclosed at Hot Chips conference – 12 cores per chip, 8 threads per core – 96kB L1 cache, 512kB L2 cache, 8MB L3 cache per core on chip u u Guest Guest m host OS process m e e OS OS q host OS process q host OS process KVM Host Linux Kernel SAPPHIRE FSP POWER hardware 3 21 October 2013 © 2013 IBM Introduction • “Sapphire” firmware being developed for these machines – Team led by Ben Herrenschmidt – Successor to OPAL • Provides initialization and boot services for host OS – Load first-stage Linux kernel from flash – Probe the machine and set up device tree – Petitboot bootloader to load and run the host kernel (via kexec) • Provides low-level run-time services to host kernel – Communication with the service processor (FSP) • Console • Power and reboot control • Non-volatile memory • Time of day clock • Error logging facilities – Some low-level error detection and recovery services 4 21 October 2013 © 2013 IBM Little-endian Support • Modern POWER CPUs have a little-endian mode – Instructions and multi-byte data operands interpreted in little-endian byte order • Lowest-numbered byte is least significant, rather than most significant – “True” little endian, not address swizzling -
EECS 373 Design of Microprocessor-Based Systems
EECS 373 Design of Microprocessor-Based Systems Website: https://www.eecs.umich.edu/courses/eecs373/ Robert Dick University of Michigan Lecture 1: Introduction, ARM ISA September 6 2017 Many slides from Mark Brehob Teacher Robert Dick http://robertdick.org/ [email protected] EECS Professor Co-founder, CEO of profitable direct- to-consumer athletic wearable electronics company (Stryd) Visiting Professor at Tsinghua Univeristy Graduate studies at Princeton Visiting Researcher at NEC Labs, America, where technology went into their smartphones ~100 research papers on embedded system design Lab instructor Matthew Smith [email protected] Head lab instructor 15 years of 373 experience He has seen it before … but he’ll make you figure it out yourself TAs Took EECS 373 Jon Toto <[email protected]> Brennan Garrett <[email protected]> Thomas Deeds <[email protected]> Melinda Kothbauer <[email protected]> Course goals Embedded system design Debugging complex systems Communication and marketing A head start on a new product or research idea What is an embedded system? An (application-specific) computer within something else that is not generally regarded as a computer. Embedded, everywhere Embedded systems market Dominates general-purpose computing market in volume. Similar in monetary size to general-purpose computing market. Growing at 15% per year, 10% for general- purpose computing. Car example: half of value in embedded electronics, from zero a few decades ago. Common requirements Timely (hard real-time) Wireless Reliable