Stack Manipulation. Other Issues. How about larger constants? Frame Pointer. PowerPC. Alternative Architectures

Size: px
Start display at page:

Download "Stack Manipulation. Other Issues. How about larger constants? Frame Pointer. PowerPC. Alternative Architectures"

Transcription

1 Other Issues Stck Mnipultion support for procedures (Refer to section 3.6), stcks, frmes, recursion mnipulting strings nd pointers linkers, loders, memory lyout Interrupts, exceptions, system clls nd conventions Register use convention Register $9 is used s stck pointer Stck grows from high ddress to low ddress Stck pointer should point to the lst filled ddress Once entries re removed, stck pointer should e djusted Nme Register numer Usge $zero the constnt vlue $v-$v -3 vlues for results nd expression evlution $-$3 4-7 rguments $t-$t7 8-5 temporries $s-$s7 6-3 sved $t8-$t9 4-5 more temporries $gp 8 glol pointer $sp 9 stck pointer $fp 3 frme pointer $r 3 return ddress Frme Pointer How out lrger constnts? Stores the lst ddress for the lst frme When completing suroutine, frme ddress cn e used s the strting stck pointer vlue We'd like to e le to lod it constnt into register Must use two instructions, new "lod upper immedite" instruction lui $t, filled with zeros Then must get the lower order its right, i.e., ori $t, $t, ori 3 4 Alterntive Architectures PowerPC Design lterntive: provide more powerful opertions gol is to reduce numer of instructions executed dnger is slower cycle time nd/or higher CPI Sometimes referred to s RISC vs. CISC virtully ll new instruction sets since 98 hve een RISC VAX: minimize code size, mke ssemly lnguge esy instructions from to 54 ytes long! We ll look t PowerPC nd 8x86 Indexed ddressing exmple: lw $t,$+$s3 #$t=memory[$+$s3] Wht do we hve to do in MIPS? Updte ddressing updte register s prt of lod (for mrching through rrys) exmple: lwu $t,4($s3) #$t=memory[$s3+4];$s3=$s3+4 Wht do we hve to do in MIPS? Others: lod multiple/store multiple specil counter register c Loop decrement counter, if not goto loop 5 6

2 8x86 A dominnt rchitecture: 8x86 978: The Intel 886 is nnounced (6 it rchitecture) 98: The 887 floting point coprocessor is dded 98: The 886 increses ddress spce to 4 its, +instructions 985: The 8386 extends to its, new ddressing modes : The 8486, Pentium, Pentium Pro dd few instructions (mostly designed for higher performnce) 997: MMX is dded This history illustrtes the impct of the golden hndcuffs of comptiility dding new fetures s someone might dd clothing to pcked g n rchitecture tht is difficult to explin nd impossile to love Complexity: Instructions from to 7 ytes long one opernd must ct s oth source nd destintion one opernd cn come from memory complex ddressing modes e.g., se or scled index with 8 or it displcement Sving grce: the most frequently used instructions re not too difficult to uild compilers void the portions of the rchitecture tht re slow wht the 8x86 lcks in style is mde up in quntity, mking it eutiful from the right perspective 7 8 Registers in 8xY86 Architecture Exmples of non- rithmetic instructions 9 Instruction Encoding Summry Instruction complexity is only one vrile lower instruction count vs. higher CPI / lower clock rte Design Principles: simplicity fvors regulrity smller is fster good design demnds compromise mke the common cse fst Instruction set rchitecture very importnt strction indeed!

3 Arithmetic Numers Where we've een: Performnce (seconds, cycles, instructions) Astrctions: Instruction Set Architecture Assemly Lnguge nd Mchine Lnguge Wht's up hed: Implementing the Architecture opertion ALU result Bits re just its (no inherent mening) conventions define reltionship etween its nd numers Binry numers (se )... deciml:... n - Of course it gets more complicted: numers re finite (overflow) frctions nd rel numers negtive numers e.g., no MIPS sui instruction; ddi cn dd negtive numer) How do we represent negtive numers? i.e., which it ptterns will represent which numers? 3 4 Possile Representtions MIPS Sign Mgnitude: One's Complement Two's Complement = + = + = + = + = + = + = + = + = + = +3 = +3 = +3 = - = -3 = -4 = - = - = -3 = - = - = - = -3 = - = - Issues: lnce, numer of zeros, ese of opertions Which one is est? Why? it signed numers: two = ten two = + ten two = + ten... two = +,47,483,646 ten two = +,47,483,647 ten two =,47,483,648 ten two =,47,483,647 ten two =,47,483,646 ten... two = 3 ten two = ten two = ten mxint minint 5 6 Two's Complement Opertions Addition & Sutrction Negting two's complement numer: invert ll its nd dd rememer: negte nd invert re quite different! Converting n it numers into numers with more thn n its: MIPS 6 it immedite gets converted to its for rithmetic copy the most significnt it (the sign it) into the other its -> -> "sign extension" (lu vs. l) Just like in grde school (crry/orrow s) Two's complement opertions esy sutrction using ddition of negtive numers + Overflow (result too lrge for finite computer word): e.g., dding two n-it numers does not yield n n-it numer + note tht overflow term is somewht misleding, it does not men crry overflowed 7 8

4 One- Bit Adder Adder Boolen Alger Tkes three input its nd genertes two output its Multiple its cn e cscded A B CI CO S C = A.B + A.CI+ B.CI S = A.B.CI + A.B.CI+A.B.CI +A.B.CI 9 Detecting Overflow Effects of Overflow No overflow when dding positive nd negtive numer No overflow when signs re the sme for sutrction Overflow occurs when the vlue ffects the sign: overflow when dding two positives yields negtive or, dding two negtives gives positive or, sutrct negtive from positive nd get negtive or, sutrct positive from negtive nd get positive Consider the opertions A + B, nd A B Cn overflow occur if B is? Cn overflow occur if A is? An exception (interrupt) occurs Control jumps to predefined ddress for exception Interrupted ddress is sved for possile resumption Detils sed on softwre system / lnguge exmple: flight control vs. homework ssignment Don't lwys wnt to detect overflow new MIPS instructions: ddu, ddiu, suu note: ddiu still sign-extends! note: sltu, sltiu for unsigned comprisons Rel Design An ALU (rithmetic logic unit) A B C D E F D = A + B + C E = A.B.C + A.B.C + A.B.C F = A.B.C Let's uild n ALU to support the ndi nd ori instructions we'll just uild it ALU, nd use of them opertion op res result Possile Implementtion (sum-of-products): 3 4

5 Different Implementtions Building it ALU Opertion Not esy to decide the est wy to uild something Don't wnt too mny inputs to single gte Don t wnt to hve to go through too mny gtes for our purposes, ese of comprehension is importnt Opertion ALU Result Let's look t -it ALU for ddition: Result ALU Result Sum c out = + c in + c in sum = xor xor c in ALU Result How could we uild -it ALU for dd, nd, nd or? How could we uild -it ALU? ALU3 Result3 6 Wht out sutrction ( )? Tiloring the ALU to the MIPS Two's complement pproch: just negte nd dd. How do we negte? A very clever solution: Binvert Opertion Need to support the set-on-less-thn instruction (slt) rememer: slt is n rithmetic instruction produces if rs < rt nd otherwise use sutrction: (-) < implies < Need to support test for equlity (eq $t5, $t6, $t7) use sutrction: (-) = implies = Result 7 8 Supporting slt Test for equlity Cn we figure out the ide? Notice control lines: = nd = or = dd = sutrct = slt Bnegte ALU ALU Result Result Opertion Zero Note: zero is when the result is zero! ALU Result 3 3 ALU3 Result3 Set Overflow 9 3

Course Administration

Course Administration /4/7 Spring 7 EE 363: Computer Orgniztion Arithmetic for Computers Numer Representtion & ALU Avinsh Kodi Deprtment of Electricl Engineering & Computer Science Ohio University, Athens, Ohio 457 E-mil: kodi@ohio.edu

More information

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers Wht do ll those bits men now? bits (...) Number Systems nd Arithmetic or Computers go to elementry school instruction R-formt I-formt... integer dt number text chrs... floting point signed unsigned single

More information

Computer Arithmetic Logical, Integer Addition & Subtraction Chapter

Computer Arithmetic Logical, Integer Addition & Subtraction Chapter Computer Arithmetic Logicl, Integer Addition & Sutrction Chpter 3.-3.3 3.3 EEC7 FQ 25 MIPS Integer Representtion -it signed integers,, e.g., for numeric opertions 2 s s complement: one representtion for

More information

Questions About Numbers. Number Systems and Arithmetic. Introduction to Binary Numbers. Negative Numbers?

Questions About Numbers. Number Systems and Arithmetic. Introduction to Binary Numbers. Negative Numbers? Questions About Numbers Number Systems nd Arithmetic or Computers go to elementry school How do you represent negtive numbers? frctions? relly lrge numbers? relly smll numbers? How do you do rithmetic?

More information

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers

What do all those bits mean now? Number Systems and Arithmetic. Introduction to Binary Numbers. Questions About Numbers Wht do ll those bits men now? bits (...) Number Systems nd Arithmetic or Computers go to elementry school instruction R-formt I-formt... integer dt number text chrs... floting point signed unsigned single

More information

Basics of Logic Design Arithmetic Logic Unit (ALU)

Basics of Logic Design Arithmetic Logic Unit (ALU) Bsics of Logic Design Arithmetic Logic Unit (ALU) CPS 4 Lecture 9 Tody s Lecture Homework #3 Assigned Due Mrch 3 Project Groups ssigned & posted to lckord. Project Specifiction is on We Due April 9 Building

More information

Chapter 3 MIPS Assembly Language. Ó1998 Morgan Kaufmann Publishers 1

Chapter 3 MIPS Assembly Language. Ó1998 Morgan Kaufmann Publishers 1 Chapter 3 MIPS Assembly Language Ó1998 Morgan Kaufmann Publishers 1 Instructions: Language of the Machine More primitive than higher level languages e.g., no sophisticated control flow Very restrictive

More information

Instructions: MIPS arithmetic. MIPS arithmetic. Chapter 3 : MIPS Downloaded from:

Instructions: MIPS arithmetic. MIPS arithmetic. Chapter 3 : MIPS Downloaded from: Instructions: Chapter 3 : MIPS Downloaded from: http://www.cs.umr.edu/~bsiever/cs234/ Language of the Machine More primitive than higher level languages e.g., no sophisticated control flow Very restrictive

More information

Today s Lecture. Basics of Logic Design: Boolean Algebra, Logic Gates. Recursive Example. Review: The C / C++ code. Recursive Example (Continued)

Today s Lecture. Basics of Logic Design: Boolean Algebra, Logic Gates. Recursive Example. Review: The C / C++ code. Recursive Example (Continued) Tod s Lecture Bsics of Logic Design: Boolen Alger, Logic Gtes Alvin R. Leeck CPS 4 Lecture 8 Homework #2 Due Ferur 3 Outline Review (sseml recursion) Building the uilding locks Logic Design Truth tles,

More information

Chapter 3 Arithmetic for Computers

Chapter 3 Arithmetic for Computers Chapter 3 Arithmetic for Computers 1 Arithmetic Where we've been: Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: Implementing the Architecture operation

More information

Chapter 2. lw $s1,100($s2) $s1 = Memory[$s2+100] sw $s1,100($s2) Memory[$s2+100] = $s1

Chapter 2. lw $s1,100($s2) $s1 = Memory[$s2+100] sw $s1,100($s2) Memory[$s2+100] = $s1 Chapter 2 1 MIPS Instructions Instruction Meaning add $s1,$s2,$s3 $s1 = $s2 + $s3 sub $s1,$s2,$s3 $s1 = $s2 $s3 addi $s1,$s2,4 $s1 = $s2 + 4 ori $s1,$s2,4 $s2 = $s2 4 lw $s1,100($s2) $s1 = Memory[$s2+100]

More information

Chapter 2. Instruction Set Architecture (ISA)

Chapter 2. Instruction Set Architecture (ISA) Chapter 2 Instruction Set Architecture (ISA) MIPS arithmetic Design Principle: simplicity favors regularity. Why? Of course this complicates some things... C code: A = B + C + D; E = F - A; MIPS code:

More information

Stored Program Concept. Instructions: Characteristics of Instruction Set. Architecture Specification. Example of multiple operands

Stored Program Concept. Instructions: Characteristics of Instruction Set. Architecture Specification. Example of multiple operands Stored Program Concept Instructions: Instructions are bits Programs are stored in memory to be read or written just like data Processor Memory memory for data, programs, compilers, editors, etc. Fetch

More information

Virtual Machine (Part I)

Virtual Machine (Part I) Hrvrd University CS Fll 2, Shimon Schocken Virtul Mchine (Prt I) Elements of Computing Systems Virtul Mchine I (Ch. 7) Motivtion clss clss Min Min sttic sttic x; x; function function void void min() min()

More information

Systems I. Logic Design I. Topics Digital logic Logic gates Simple combinational logic circuits

Systems I. Logic Design I. Topics Digital logic Logic gates Simple combinational logic circuits Systems I Logic Design I Topics Digitl logic Logic gtes Simple comintionl logic circuits Simple C sttement.. C = + ; Wht pieces of hrdwre do you think you might need? Storge - for vlues,, C Computtion

More information

George Boole. IT 3123 Hardware and Software Concepts. Switching Algebra. Boolean Functions. Boolean Functions. Truth Tables

George Boole. IT 3123 Hardware and Software Concepts. Switching Algebra. Boolean Functions. Boolean Functions. Truth Tables George Boole IT 3123 Hrdwre nd Softwre Concepts My 28 Digitl Logic The Little Mn Computer 1815 1864 British mthemticin nd philosopher Mny contriutions to mthemtics. Boolen lger: n lger over finite sets

More information

MIPS I/O and Interrupt

MIPS I/O and Interrupt MIPS I/O nd Interrupt Review Floting point instructions re crried out on seprte chip clled coprocessor 1 You hve to move dt to/from coprocessor 1 to do most common opertions such s printing, clling functions,

More information

Computer Architecture Set Four. Arithmetic

Computer Architecture Set Four. Arithmetic Computer Architecture Set Four Arithmetic Arithmetic Where we ve been: Performance (seconds, cycles, instructions) Abstractions: Instruction Set Architecture Assembly Language and Machine Language What

More information

CS 241. Fall 2017 Midterm Review Solutions. October 24, Bits and Bytes 1. 3 MIPS Assembler 6. 4 Regular Languages 7.

CS 241. Fall 2017 Midterm Review Solutions. October 24, Bits and Bytes 1. 3 MIPS Assembler 6. 4 Regular Languages 7. CS 241 Fll 2017 Midterm Review Solutions Octoer 24, 2017 Contents 1 Bits nd Bytes 1 2 MIPS Assemly Lnguge Progrmming 2 3 MIPS Assemler 6 4 Regulr Lnguges 7 5 Scnning 9 1 Bits nd Bytes 1. Give two s complement

More information

EEC 581 Computer Architecture Lecture 1 Review MIPS

EEC 581 Computer Architecture Lecture 1 Review MIPS EEC 581 Computer Architecture Lecture 1 Review MIPS 1 Supercomputing: Suddenly Fancy 2 1 Instructions: Language of the Machine More primitive than higher level languages e.g., no sophisticated control

More information

Quiz2 45mins. Personal Number: Problem 1. (20pts) Here is an Table of Perl Regular Ex

Quiz2 45mins. Personal Number: Problem 1. (20pts) Here is an Table of Perl Regular Ex Long Quiz2 45mins Nme: Personl Numer: Prolem. (20pts) Here is n Tle of Perl Regulr Ex Chrcter Description. single chrcter \s whitespce chrcter (spce, t, newline) \S non-whitespce chrcter \d digit (0-9)

More information

In the last lecture, we discussed how valid tokens may be specified by regular expressions.

In the last lecture, we discussed how valid tokens may be specified by regular expressions. LECTURE 5 Scnning SYNTAX ANALYSIS We know from our previous lectures tht the process of verifying the syntx of the progrm is performed in two stges: Scnning: Identifying nd verifying tokens in progrm.

More information

Communicating with People (2.8)

Communicating with People (2.8) Communicating with People (2.8) For communication Use characters and strings Characters 8-bit (one byte) data for ASCII lb $t0, 0($sp) ; load byte Load a byte from memory, placing it in the rightmost 8-bits

More information

Instruction Set Architectures

Instruction Set Architectures Lecture 2 Instruction Set Architectures Dr. Soner Onder CS 4431 Michigan Technological University 09/04/12 1 Instruction Set Architecture (ISA) 1950s to 1960s: Computer Architecture Course Computer Arithmetic

More information

10.5 Graphing Quadratic Functions

10.5 Graphing Quadratic Functions 0.5 Grphing Qudrtic Functions Now tht we cn solve qudrtic equtions, we wnt to lern how to grph the function ssocited with the qudrtic eqution. We cll this the qudrtic function. Grphs of Qudrtic Functions

More information

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming Lecture 10 Evolutionry Computtion: Evolution strtegies nd genetic progrmming Evolution strtegies Genetic progrmming Summry Negnevitsky, Person Eduction, 2011 1 Evolution Strtegies Another pproch to simulting

More information

COMP 423 lecture 11 Jan. 28, 2008

COMP 423 lecture 11 Jan. 28, 2008 COMP 423 lecture 11 Jn. 28, 2008 Up to now, we hve looked t how some symols in n lphet occur more frequently thn others nd how we cn sve its y using code such tht the codewords for more frequently occuring

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

CS201 Discussion 10 DRAWTREE + TRIES

CS201 Discussion 10 DRAWTREE + TRIES CS201 Discussion 10 DRAWTREE + TRIES DrwTree First instinct: recursion As very generic structure, we could tckle this problem s follows: drw(): Find the root drw(root) drw(root): Write the line for the

More information

CS321 Languages and Compiler Design I. Winter 2012 Lecture 5

CS321 Languages and Compiler Design I. Winter 2012 Lecture 5 CS321 Lnguges nd Compiler Design I Winter 2012 Lecture 5 1 FINITE AUTOMATA A non-deterministic finite utomton (NFA) consists of: An input lphet Σ, e.g. Σ =,. A set of sttes S, e.g. S = {1, 3, 5, 7, 11,

More information

6/23/2011. Review: IEEE-754. CSE 2021: Computer Organization. Exercises. Examples. Shakil M. Khan (adapted from Profs. Roumani & Asif)

6/23/2011. Review: IEEE-754. CSE 2021: Computer Organization. Exercises. Examples. Shakil M. Khan (adapted from Profs. Roumani & Asif) 6/23/2 CSE 22: Computer Orgniztion Lecture-8() Floting point computing (IEEE 754) Review: IEEE-754 single: 8 its doule: its single: 23 its doule: 52 its S Exponent Frction S x ( ) ( Frction) 2 (Exponent

More information

A Tautology Checker loosely related to Stålmarck s Algorithm by Martin Richards

A Tautology Checker loosely related to Stålmarck s Algorithm by Martin Richards A Tutology Checker loosely relted to Stålmrck s Algorithm y Mrtin Richrds mr@cl.cm.c.uk http://www.cl.cm.c.uk/users/mr/ University Computer Lortory New Museum Site Pemroke Street Cmridge, CB2 3QG Mrtin

More information

Fig.25: the Role of LEX

Fig.25: the Role of LEX The Lnguge for Specifying Lexicl Anlyzer We shll now study how to uild lexicl nlyzer from specifiction of tokens in the form of list of regulr expressions The discussion centers round the design of n existing

More information

2 Computing all Intersections of a Set of Segments Line Segment Intersection

2 Computing all Intersections of a Set of Segments Line Segment Intersection 15-451/651: Design & Anlysis of Algorithms Novemer 14, 2016 Lecture #21 Sweep-Line nd Segment Intersection lst chnged: Novemer 8, 2017 1 Preliminries The sweep-line prdigm is very powerful lgorithmic design

More information

Computer Science 324 Computer Architecture Mount Holyoke College Fall Topic Notes: MIPS Instruction Set Architecture

Computer Science 324 Computer Architecture Mount Holyoke College Fall Topic Notes: MIPS Instruction Set Architecture Computer Science 324 Computer Architecture Mount Holyoke College Fall 2007 Topic Notes: MIPS Instruction Set Architecture vonneumann Architecture Modern computers use the vonneumann architecture. Idea:

More information

12-B FRACTIONS AND DECIMALS

12-B FRACTIONS AND DECIMALS -B Frctions nd Decimls. () If ll four integers were negtive, their product would be positive, nd so could not equl one of them. If ll four integers were positive, their product would be much greter thn

More information

Chapter Three. Arithmetic

Chapter Three. Arithmetic Chapter Three 1 Arithmetic Where we've been: Performance (seconds, cycles, instructions) Abstractions: Instruction Set Architecture Assembly Language and Machine Language What's up ahead: Implementing

More information

CSE 141 Computer Architecture Spring Lecture 3 Instruction Set Architecute. Course Schedule. Announcements

CSE 141 Computer Architecture Spring Lecture 3 Instruction Set Architecute. Course Schedule. Announcements CSE141: Introduction to Computer Architecture CSE 141 Computer Architecture Spring 2005 Lecture 3 Instruction Set Architecute Pramod V. Argade April 4, 2005 Instructor: TAs: Pramod V. Argade (p2argade@cs.ucsd.edu)

More information

box Boxes and Arrows 3 true 7.59 'X' An object is drawn as a box that contains its data members, for example:

box Boxes and Arrows 3 true 7.59 'X' An object is drawn as a box that contains its data members, for example: Boxes nd Arrows There re two kinds of vriles in Jv: those tht store primitive vlues nd those tht store references. Primitive vlues re vlues of type long, int, short, chr, yte, oolen, doule, nd flot. References

More information

AI Adjacent Fields. This slide deck courtesy of Dan Klein at UC Berkeley

AI Adjacent Fields. This slide deck courtesy of Dan Klein at UC Berkeley AI Adjcent Fields Philosophy: Logic, methods of resoning Mind s physicl system Foundtions of lerning, lnguge, rtionlity Mthemtics Forml representtion nd proof Algorithms, computtion, (un)decidility, (in)trctility

More information

Stack. A list whose end points are pointed by top and bottom

Stack. A list whose end points are pointed by top and bottom 4. Stck Stck A list whose end points re pointed by top nd bottom Insertion nd deletion tke plce t the top (cf: Wht is the difference between Stck nd Arry?) Bottom is constnt, but top grows nd shrinks!

More information

Caches I. CSE 351 Spring Instructor: Ruth Anderson

Caches I. CSE 351 Spring Instructor: Ruth Anderson L16: Cches I Cches I CSE 351 Spring 2017 Instructor: Ruth Anderson Teching Assistnts: Dyln Johnson Kevin Bi Linxing Preston Jing Cody Ohlsen Yufng Sun Joshu Curtis L16: Cches I Administrivi Homework 3,

More information

COMPUTER SCIENCE 123. Foundations of Computer Science. 6. Tuples

COMPUTER SCIENCE 123. Foundations of Computer Science. 6. Tuples COMPUTER SCIENCE 123 Foundtions of Computer Science 6. Tuples Summry: This lecture introduces tuples in Hskell. Reference: Thompson Sections 5.1 2 R.L. While, 2000 3 Tuples Most dt comes with structure

More information

LAB L Hardware Building Blocks

LAB L Hardware Building Blocks LAB L Hrdwre Building Blocks Perform the following groups of tsks: LL1.v 1. In previous l we creted the 2-to-1 mux shown in the left prt of the figure elow nd found tht it cts s n if sttement. c c 0 1

More information

9 4. CISC - Curriculum & Instruction Steering Committee. California County Superintendents Educational Services Association

9 4. CISC - Curriculum & Instruction Steering Committee. California County Superintendents Educational Services Association 9. CISC - Curriculum & Instruction Steering Committee The Winning EQUATION A HIGH QUALITY MATHEMATICS PROFESSIONAL DEVELOPMENT PROGRAM FOR TEACHERS IN GRADES THROUGH ALGEBRA II STRAND: NUMBER SENSE: Rtionl

More information

Engineer To Engineer Note

Engineer To Engineer Note Engineer To Engineer Note EE-186 Technicl Notes on using Anlog Devices' DSP components nd development tools Contct our technicl support by phone: (800) ANALOG-D or e-mil: dsp.support@nlog.com Or visit

More information

Caches I. CSE 351 Autumn Instructor: Justin Hsia

Caches I. CSE 351 Autumn Instructor: Justin Hsia L01: Intro, L01: L16: Combintionl Introduction Cches I Logic CSE369, CSE351, Autumn 2016 Cches I CSE 351 Autumn 2016 Instructor: Justin Hsi Teching Assistnts: Chris M Hunter Zhn John Kltenbch Kevin Bi

More information

ASTs, Regex, Parsing, and Pretty Printing

ASTs, Regex, Parsing, and Pretty Printing ASTs, Regex, Prsing, nd Pretty Printing CS 2112 Fll 2016 1 Algeric Expressions To strt, consider integer rithmetic. Suppose we hve the following 1. The lphet we will use is the digits {0, 1, 2, 3, 4, 5,

More information

Simplifying Algebra. Simplifying Algebra. Curriculum Ready.

Simplifying Algebra. Simplifying Algebra. Curriculum Ready. Simplifying Alger Curriculum Redy www.mthletics.com This ooklet is ll out turning complex prolems into something simple. You will e le to do something like this! ( 9- # + 4 ' ) ' ( 9- + 7-) ' ' Give this

More information

Allocator Basics. Dynamic Memory Allocation in the Heap (malloc and free) Allocator Goals: malloc/free. Internal Fragmentation

Allocator Basics. Dynamic Memory Allocation in the Heap (malloc and free) Allocator Goals: malloc/free. Internal Fragmentation Alloctor Bsics Dynmic Memory Alloction in the Hep (mlloc nd free) Pges too corse-grined for llocting individul objects. Insted: flexible-sized, word-ligned blocks. Allocted block (4 words) Free block (3

More information

Representation of Numbers. Number Representation. Representation of Numbers. 32-bit Unsigned Integers 3/24/2014. Fixed point Integer Representation

Representation of Numbers. Number Representation. Representation of Numbers. 32-bit Unsigned Integers 3/24/2014. Fixed point Integer Representation Representtion of Numbers Number Representtion Computer represent ll numbers, other thn integers nd some frctions with imprecision. Numbers re stored in some pproximtion which cn be represented by fixed

More information

Dr. D.M. Akbar Hussain

Dr. D.M. Akbar Hussain Dr. D.M. Akr Hussin Lexicl Anlysis. Bsic Ide: Red the source code nd generte tokens, it is similr wht humns will do to red in; just tking on the input nd reking it down in pieces. Ech token is sequence

More information

Virtual Machine I: Stack Arithmetic

Virtual Machine I: Stack Arithmetic Virtul Mchine I: Stck Arithmetic Building Modern Computer From First Principles www.nnd2tetris.org Elements of Computing Systems, Nisn & Schocken, MIT Press, www.nnd2tetris.org, Chpter 7: Virtul Mchine

More information

5 Regular 4-Sided Composition

5 Regular 4-Sided Composition Xilinx-Lv User Guide 5 Regulr 4-Sided Composition This tutoril shows how regulr circuits with 4-sided elements cn be described in Lv. The type of regulr circuits tht re discussed in this tutoril re those

More information

Instruction Set Architecture. "Speaking with the computer"

Instruction Set Architecture. Speaking with the computer Instruction Set Architecture "Speaking with the computer" The Instruction Set Architecture Application Compiler Instr. Set Proc. Operating System I/O system Instruction Set Architecture Digital Design

More information

Context-Free Grammars

Context-Free Grammars Context-Free Grmmrs Descriing Lnguges We've seen two models for the regulr lnguges: Finite utomt ccept precisely the strings in the lnguge. Regulr expressions descrie precisely the strings in the lnguge.

More information

CMPUT101 Introduction to Computing - Summer 2002

CMPUT101 Introduction to Computing - Summer 2002 CMPUT Introdution to Computing - Summer 22 %XLOGLQJ&RPSXWHU&LUFXLWV Chpter 4.4 3XUSRVH We hve looked t so fr how to uild logi gtes from trnsistors. Next we will look t how to uild iruits from logi gtes,

More information

CSCI 104. Rafael Ferreira da Silva. Slides adapted from: Mark Redekopp and David Kempe

CSCI 104. Rafael Ferreira da Silva. Slides adapted from: Mark Redekopp and David Kempe CSCI 0 fel Ferreir d Silv rfsilv@isi.edu Slides dpted from: Mrk edekopp nd Dvid Kempe LOG STUCTUED MEGE TEES Series Summtion eview Let n = + + + + k $ = #%& #. Wht is n? n = k+ - Wht is log () + log ()

More information

Caches I. CSE 351 Autumn 2018

Caches I. CSE 351 Autumn 2018 Cches I CSE 351 Autumn 2018 Instructors: Mx Willsey Luis Ceze Teching Assistnts: Britt Henderson Luks Joswik Josie Lee Wei Lin Dniel Snitkovsky Luis Veg Kory Wtson Ivy Yu Alt text: I looked t some of the

More information

Concepts Introduced. A 1-Bit Logical Unit. 1-Bit Half Adder (cont.) 1-Bit Half Adder

Concepts Introduced. A 1-Bit Logical Unit. 1-Bit Half Adder (cont.) 1-Bit Half Adder oncepts Introduced A -Bit Logicl Unit sic rithmetic/logic unit clocks ltches nd ip-ops registers SRAMs nd RAMs nite stte mchines Below is -it logicl unit tht performs AN nd OR opertions Both the AN nd

More information

From Dependencies to Evaluation Strategies

From Dependencies to Evaluation Strategies From Dependencies to Evlution Strtegies Possile strtegies: 1 let the user define the evlution order 2 utomtic strtegy sed on the dependencies: use locl dependencies to determine which ttriutes to compute

More information

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

CPSC 213. Polymorphism. Introduction to Computer Systems. Readings for Next Two Lectures. Back to Procedure Calls

CPSC 213. Polymorphism. Introduction to Computer Systems. Readings for Next Two Lectures. Back to Procedure Calls Redings for Next Two Lectures Text CPSC 213 Switch Sttements, Understnding Pointers - 2nd ed: 3.6.7, 3.10-1st ed: 3.6.6, 3.11 Introduction to Computer Systems Unit 1f Dynmic Control Flow Polymorphism nd

More information

ECE 468/573 Midterm 1 September 28, 2012

ECE 468/573 Midterm 1 September 28, 2012 ECE 468/573 Midterm 1 September 28, 2012 Nme:! Purdue emil:! Plese sign the following: I ffirm tht the nswers given on this test re mine nd mine lone. I did not receive help from ny person or mteril (other

More information

SERIES. Patterns and Algebra OUT. Name

SERIES. Patterns and Algebra OUT. Name D Techer Student Book IN OUT 8 Nme Series D Contents Topic Section Ptterns Answers nd (pp. functions ) identifying ptterns nd nd functions_ creting ptterns_ skip equtions counting nd equivlence completing

More information

Outline. Tiling, formally. Expression tile as rule. Statement tiles as rules. Function calls. CS 412 Introduction to Compilers

Outline. Tiling, formally. Expression tile as rule. Statement tiles as rules. Function calls. CS 412 Introduction to Compilers CS 412 Introduction to Compilers Andrew Myers Cornell University Lectur8 Finishing genertion 9 Mr 01 Outline Tiling s syntx-directed trnsltion Implementing function clls Implementing functions Optimizing

More information

Very sad code. Abstraction, List, & Cons. CS61A Lecture 7. Happier Code. Goals. Constructors. Constructors 6/29/2011. Selectors.

Very sad code. Abstraction, List, & Cons. CS61A Lecture 7. Happier Code. Goals. Constructors. Constructors 6/29/2011. Selectors. 6/9/ Abstrction, List, & Cons CS6A Lecture 7-6-9 Colleen Lewis Very sd code (define (totl hnd) (if (empty? hnd) (+ (butlst (lst hnd)) (totl (butlst hnd))))) STk> (totl (h c d)) 7 STk> (totl (h ks d)) ;;;EEEK!

More information

Pointers and Arrays. More Pointer Examples. Pointers CS 217

Pointers and Arrays. More Pointer Examples. Pointers CS 217 Pointers nd Arrs CS 21 1 2 Pointers More Pointer Emples Wht is pointer A vrile whose vlue is the ddress of nother vrile p is pointer to vrile v Opertions &: ddress of (reference) *: indirection (dereference)

More information

Outline CS 412/413. Function calls. Stack layout. Tiling a call. Two translations

Outline CS 412/413. Function calls. Stack layout. Tiling a call. Two translations CS 412/413 Introduction to Compilers nd Trnsltors Cornell University Andrew Myers Outline Implementing function clls Implementing functions Optimizing wy the pointer Dynmiclly-llocted structures strings

More information

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example:

cisc1110 fall 2010 lecture VI.2 call by value function parameters another call by value example: cisc1110 fll 2010 lecture VI.2 cll y vlue function prmeters more on functions more on cll y vlue nd cll y reference pssing strings to functions returning strings from functions vrile scope glol vriles

More information

Compilers Spring 2013 PRACTICE Midterm Exam

Compilers Spring 2013 PRACTICE Midterm Exam Compilers Spring 2013 PRACTICE Midterm Exm This is full length prctice midterm exm. If you wnt to tke it t exm pce, give yourself 7 minutes to tke the entire test. Just like the rel exm, ech question hs

More information

Presentation Martin Randers

Presentation Martin Randers Presenttion Mrtin Rnders Outline Introduction Algorithms Implementtion nd experiments Memory consumption Summry Introduction Introduction Evolution of species cn e modelled in trees Trees consist of nodes

More information

CO Computer Architecture and Programming Languages CAPL. Lecture 13 & 14

CO Computer Architecture and Programming Languages CAPL. Lecture 13 & 14 CO20-320241 Computer Architecture and Programming Languages CAPL Lecture 13 & 14 Dr. Kinga Lipskoch Fall 2017 Frame Pointer (1) The stack is also used to store variables that are local to function, but

More information

CSE 401 Midterm Exam 11/5/10 Sample Solution

CSE 401 Midterm Exam 11/5/10 Sample Solution Question 1. egulr expressions (20 points) In the Ad Progrmming lnguge n integer constnt contins one or more digits, but it my lso contin embedded underscores. Any underscores must be preceded nd followed

More information

Integration. September 28, 2017

Integration. September 28, 2017 Integrtion September 8, 7 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my

More information

Grade 7/8 Math Circles Geometric Arithmetic October 31, 2012

Grade 7/8 Math Circles Geometric Arithmetic October 31, 2012 Fculty of Mthemtics Wterloo, Ontrio N2L 3G1 Grde 7/8 Mth Circles Geometric Arithmetic Octoer 31, 2012 Centre for Eduction in Mthemtics nd Computing Ancient Greece hs given irth to some of the most importnt

More information

ECE 486/586. Computer Architecture. Lecture # 8

ECE 486/586. Computer Architecture. Lecture # 8 ECE 486/586 Computer Architecture Lecture # 8 Spring 2015 Portland State University Lecture Topics Instruction Set Principles MIPS Control flow instructions Dealing with constants IA-32 Fallacies and Pitfalls

More information

Distributed Systems Principles and Paradigms

Distributed Systems Principles and Paradigms Distriuted Systems Principles nd Prdigms Chpter 11 (version April 7, 2008) Mrten vn Steen Vrije Universiteit Amsterdm, Fculty of Science Dept. Mthemtics nd Computer Science Room R4.20. Tel: (020) 598 7784

More information

PPS: User Manual. Krishnendu Chatterjee, Martin Chmelik, Raghav Gupta, and Ayush Kanodia

PPS: User Manual. Krishnendu Chatterjee, Martin Chmelik, Raghav Gupta, and Ayush Kanodia PPS: User Mnul Krishnendu Chtterjee, Mrtin Chmelik, Rghv Gupt, nd Ayush Knodi IST Austri (Institute of Science nd Technology Austri), Klosterneuurg, Austri In this section we descrie the tool fetures,

More information

CSCI 3130: Formal Languages and Automata Theory Lecture 12 The Chinese University of Hong Kong, Fall 2011

CSCI 3130: Formal Languages and Automata Theory Lecture 12 The Chinese University of Hong Kong, Fall 2011 CSCI 3130: Forml Lnguges nd utomt Theory Lecture 12 The Chinese University of Hong Kong, Fll 2011 ndrej Bogdnov In progrmming lnguges, uilding prse trees is significnt tsk ecuse prse trees tell us the

More information

Lecture Topics. Branch Condition Options. Branch Conditions ECE 486/586. Computer Architecture. Lecture # 8. Instruction Set Principles.

Lecture Topics. Branch Condition Options. Branch Conditions ECE 486/586. Computer Architecture. Lecture # 8. Instruction Set Principles. ECE 486/586 Computer Architecture Lecture # 8 Spring 2015 Portland State University Instruction Set Principles MIPS Control flow instructions Dealing with constants IA-32 Fallacies and Pitfalls Reference:

More information

Lexical Analysis. Amitabha Sanyal. (www.cse.iitb.ac.in/ as) Department of Computer Science and Engineering, Indian Institute of Technology, Bombay

Lexical Analysis. Amitabha Sanyal. (www.cse.iitb.ac.in/ as) Department of Computer Science and Engineering, Indian Institute of Technology, Bombay Lexicl Anlysis Amith Snyl (www.cse.iit.c.in/ s) Deprtment of Computer Science nd Engineering, Indin Institute of Technology, Bomy Septemer 27 College of Engineering, Pune Lexicl Anlysis: 2/6 Recp The input

More information

Unit 5 Vocabulary. A function is a special relationship where each input has a single output.

Unit 5 Vocabulary. A function is a special relationship where each input has a single output. MODULE 3 Terms Definition Picture/Exmple/Nottion 1 Function Nottion Function nottion is n efficient nd effective wy to write functions of ll types. This nottion llows you to identify the input vlue with

More information

Languages. L((a (b)(c))*) = { ε,a,bc,aa,abc,bca,... } εw = wε = w. εabba = abbaε = abba. (a (b)(c)) *

Languages. L((a (b)(c))*) = { ε,a,bc,aa,abc,bca,... } εw = wε = w. εabba = abbaε = abba. (a (b)(c)) * Pln for Tody nd Beginning Next week Interpreter nd Compiler Structure, or Softwre Architecture Overview of Progrmming Assignments The MeggyJv compiler we will e uilding. Regulr Expressions Finite Stte

More information

Subtracting Fractions

Subtracting Fractions Lerning Enhncement Tem Model Answers: Adding nd Subtrcting Frctions Adding nd Subtrcting Frctions study guide. When the frctions both hve the sme denomintor (bottom) you cn do them using just simple dding

More information

Systems Architecture I

Systems Architecture I Systems Architecture I Topics Assemblers, Linkers, and Loaders * Alternative Instruction Sets ** *This lecture was derived from material in the text (sec. 3.8-3.9). **This lecture was derived from material

More information

Geometric transformations

Geometric transformations Geometric trnsformtions Computer Grphics Some slides re bsed on Shy Shlom slides from TAU mn n n m m T A,,,,,, 2 1 2 22 12 1 21 11 Rows become columns nd columns become rows nm n n m m A,,,,,, 1 1 2 22

More information

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays

Agenda & Reading. Class Exercise. COMPSCI 105 SS 2012 Principles of Computer Science. Arrays COMPSCI 5 SS Principles of Computer Science Arrys & Multidimensionl Arrys Agend & Reding Agend Arrys Creting & Using Primitive & Reference Types Assignments & Equlity Pss y Vlue & Pss y Reference Copying

More information

Regular Expression Matching with Multi-Strings and Intervals. Philip Bille Mikkel Thorup

Regular Expression Matching with Multi-Strings and Intervals. Philip Bille Mikkel Thorup Regulr Expression Mtching with Multi-Strings nd Intervls Philip Bille Mikkel Thorup Outline Definition Applictions Previous work Two new problems: Multi-strings nd chrcter clss intervls Algorithms Thompson

More information

CS 241 Week 4 Tutorial Solutions

CS 241 Week 4 Tutorial Solutions CS 4 Week 4 Tutoril Solutions Writing n Assemler, Prt & Regulr Lnguges Prt Winter 8 Assemling instrutions utomtilly. slt $d, $s, $t. Solution: $d, $s, nd $t ll fit in -it signed integers sine they re 5-it

More information

EECS 281: Homework #4 Due: Thursday, October 7, 2004

EECS 281: Homework #4 Due: Thursday, October 7, 2004 EECS 28: Homework #4 Due: Thursdy, October 7, 24 Nme: Emil:. Convert the 24-bit number x44243 to mime bse64: QUJD First, set is to brek 8-bit blocks into 6-bit blocks, nd then convert: x44243 b b 6 2 9

More information

Introduction to Algebra

Introduction to Algebra INTRODUCTORY ALGEBRA Mini-Leture 1.1 Introdution to Alger Evlute lgeri expressions y sustitution. Trnslte phrses to lgeri expressions. 1. Evlute the expressions when =, =, nd = 6. ) d) 5 10. Trnslte eh

More information

TO REGULAR EXPRESSIONS

TO REGULAR EXPRESSIONS Suject :- Computer Science Course Nme :- Theory Of Computtion DA TO REGULAR EXPRESSIONS Report Sumitted y:- Ajy Singh Meen 07000505 jysmeen@cse.iit.c.in BASIC DEINITIONS DA:- A finite stte mchine where

More information

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών ΕΠΛ323 - Θωρία και Πρακτική Μταγλωττιστών Lecture 3 Lexicl Anlysis Elis Athnsopoulos elisthn@cs.ucy.c.cy Recognition of Tokens if expressions nd reltionl opertors if è if then è then else è else relop

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

EECS150 - Digital Design Lecture 23 - High-level Design and Optimization 3, Parallelism and Pipelining

EECS150 - Digital Design Lecture 23 - High-level Design and Optimization 3, Parallelism and Pipelining EECS150 - Digitl Design Lecture 23 - High-level Design nd Optimiztion 3, Prllelism nd Pipelining Nov 12, 2002 John Wwrzynek Fll 2002 EECS150 - Lec23-HL3 Pge 1 Prllelism Prllelism is the ct of doing more

More information

Answer Key Lesson 6: Workshop: Angles and Lines

Answer Key Lesson 6: Workshop: Angles and Lines nswer Key esson 6: tudent Guide ngles nd ines Questions 1 3 (G p. 406) 1. 120 ; 360 2. hey re the sme. 3. 360 Here re four different ptterns tht re used to mke quilts. Work with your group. se your Power

More information

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork MA1008 Clculus nd Liner Algebr for Engineers Course Notes for Section B Stephen Wills Deprtment of Mthemtics University College Cork s.wills@ucc.ie http://euclid.ucc.ie/pges/stff/wills/teching/m1008/ma1008.html

More information

A Reconfigurable Arithmetic Datapath Architecture

A Reconfigurable Arithmetic Datapath Architecture A Reconfigurle Arithmetic Dtpth Architecture Reiner W. Hrtenstein, Riner Kress, Helmut Reinig University of Kiserslutern Erwin-Schrödinger-Strße, D-67663 Kiserslutern, Germny Fx: 49 631 205 2640, emil:

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information