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

Size: px
Start display at page:

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

Transcription

1 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 inry representtion (nd corresponding hexdeciml representtion) of the following deciml numers: () (more leding zero its cceptle), ut not () (more leding zero its cceptle), ut not (c) (more leding one its cceptle) 2. Give the deciml nd inry representtions of the following two s complement numers: () 0x , -127 () 0x7F , Give the (unsigned) deciml nd inry representtions of 0xCC , Wht is the rnge (in deciml) of 32-it two s complement numer?

2 2 MIPS Assemly Lnguge Progrmming 1. Write MIPS procedure clled StringMp tht interprets the vlue in $1 s the ddress of string (n rry of chrcters tht ends with -1), nd the vlue in $2 s the ddress of procedure which interprets the vlue in $1 s chrcter nd returns chrcter in $3 (we cll it the chrcter trnsformtion function). StringMp should pply the chrcter trnsformtion function to chrcter of the string nd plce the ddress of the trnsformed string in $3. You my ssume the chrcter trnsformtion function will restore ny registers it modifies. However, you my not ssume the cller of StringMp stores/restores ny registers. StringMp: ; Cllee sves registers sw $31, -4($30) sw $9, -8($30) sw $8, -12($30) sw $5, -16($30) sw $4, -20($30) lis $31.word 20 su $30, $30, $31 ; Constnts lis $5.word -1 ; $5 = EOF list $4.word 4 dd $9, $1, $0 ; $9 = current ddress dd $8, $1, $0 ; sve return vlue forech: lw $1, 0($9) eq $1, $5, end jlr $2 sw $3, 0($9) dd $9, $9, $4 eq $0, $0, forech end: dd $3, $8, $0 ; Restore registers lis $31.word 20 dd $30, $30, $31 lw $31, -4($30) lw $9, -8($30) lw $8, -12($30) lw $5, -16($30) lw $4, -20($30) jr $31 2. Write MIPS progrm tht interprets the vlue in $1 s the ddress of n rry of MIPS instructions 2

3 nd executes the progrm stored in the rry. You my ssume ech element contins exctly one instruction, nd the MIPS progrm stored in the rry is vlid (ending with jr $31 ) nd tkes no rguments. jr $1 3. Exercise. Write MIPS procedure clled gcd which interprets the vlues in $1 nd $2 s unsigned deciml integers nd computes their gretest common divisor using recursion, plcing the result in $3. Hint: ; Clculte gcd(,) ; $1 - ; $2 - ; $3 - gcd(,) ; $ ; Recll tht gcd(,) = gcd(, mod ) ; nd gcd(,0) = gcd: ; Sve ll registers used sw $1, -4 ($30) sw $2, -8 ($30) sw $4, -12 ($30) sw $31, -16($30) lis $31.word 16 su $30, $30, $31 ; Bse Cse ; if ==0 return ne $0, $2, recur dd $3, $0, $1 eq $0, $0, clen recur: ; Recurrence Cse ; $1 contins ; $2 contins mod ; $4 contins lel gcd divu $1, $2 dd $1, $2, $0 mfhi $2 lis $4.word gcd jlr $4 clen: ; Lod ll register used lis $31.word 16 dd $30, $30, $31 3

4 lw $31, -16($30) lw $4, -12($30) lw $2, -8 ($30) lw $1, -4 ($30) jr $31 4. Exercise. According to the MIPS ssemly lnguge reference sheet, if you lod word from ddress 0xffff0004, it will plce the next yte from stndrd input in the destintion register. Write progrm which tkes numer in $1 nd reds in tht mny elements from stndrd input into n rry, stores the ddress of the rry in $1 nd the numer of elements in $2, nd then jumps to symol clled strt. This is essentilly mips.rry except tht the rry elements re provided s chrcters rther thn s integers. ; Constnts lis $29.word 0xffff0004 lis $4.word 4 ; Move numer of elements to $2 dd $2, $1, $0 ; Allocte spce for rry on the stck mult $2, $4 mflo $3 su $30, $30, $3 dd $1, $30, $0 ; $5 points to current ddress dd $5, $30, $0 iloop: eq $3, $0, iendl ; Sve n item from stdin to the rry lw $6, 0($29) sw $6, 0($5) ; Increse rry* nd decrese counter dd $5, $5, $4 su $3, $3, $4 eq $0, $0, iloop ; We re done here: sve $31 nd cll strt iendl: lis $5.word strt sw $31, -4($30) su $30, $30, $4 jlr $5 ; Restore $31 nd exit upon returning dd $30, $30, $4 lw $31, -4($30) 4

5 jr $31 ; Test code follows ; Prints out the contents of the rry to stdout s chrs ; Does not preserve registers (irresponsile!) strt: lis $4.word 4 lis $11.word 1 lis $28.word 0xffff000c sloop: eq $2, $0, sendl ; Move from rry to stdout lw $5, 0($1) sw $5, 0($28) dd $1, $1, $4 su $2, $2, $11 eq $0, $0, sloop sendl: jr $31 5. Exercise. Given the following hexdump of n ssemled MIPS ssemly lnguge progrm, determine the originl progrm without using.word : : : c: : : : $." c: 1420 fffc : 03e Your progrm must use lels where possile. Wht does the progrm do? lis $3.word 1 lis $4.word 1 lel1: mult $3, $3 mflo $3 su $1, $1, $4 ne $1, $0, lel1 jr $31 Given in $2 nd in $1, this progrm clcultes nd stores the result in $3. 5

6 3 MIPS Assemler 1. Give the symol tle for following MIPS ssemly lnguge progrm: mult: mult $1, $2 eq $0, $0, rnchloction frog: gorf:.word gorf rnchloction: ; rnch here ; now return jr $31 end: ; end of the progrm Symol tle: mult 0 frog 8 gorf 8 rnchloction 12 end Wht is the purpose of the first nd second pss in n ssemler? Why does ssemlers require two psses? First pss: crete symol tle (with some error-checking). Second pss: syntx & error checking + mchine code output Becuse lels cn e used efore they re defined 3. Ed tries to write his CS350 ssignment in MIPS tht requires to loop through 90,000 lines of code. Descrie potentil prolem tht Ed could encounter if he uses rnching instructions. How could Ed solve this prolem? Brnch instructions use 16-it two s complement integers, so they cn only encode rnches from 2 15 to ( to 32767). To encode jump of instructions, we cn store the vlue of the trget ddress in register nd jump to tht dresss. lis $5.word jumptohere jr $5... jumptohere: Wht informtion cn we not get ck when we disssemle progrm? Any comments nd the nmes of lels will e lost when the progrm is ssemled. Although we cn retrieve the exct instructions used, it cn e difficult to determine the context of those instructions. 6

7 4 Regulr Lnguges Note tht for simplicity, you my chose to llow leding zeroes. 1. Prove tht the lnguge L = {A, B, C, D} is regulr. It suffices to provide the regulr expression (A B C D) to show tht L is regulr. 2. Give DFA for ech of the following lnguges: No solutions will e provided for this question () The lnguge L over Σ = Γ {+}, where Γ = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}, such tht: L = {u + v : u, v Γ, u 0 (mod2) nd v 1 (mod2)} () Exercise. The lnguge L over Σ = {0, 1} which contins strings with inry vlue tht is congruent to 3 modulo 8. (Tht is, the inry vlue of string x divided y 8 gives reminder of 3). Hint: Think out the 3 lest-significnt (rightmost) its. 3. Give regulr expression for ech of the following lnguges: () The lnguge L over Σ = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} of positive deciml numers divisile y 4. (0 4 8) (Σ ( ( )(0 4 8) ) ) ( )(2 6) () Exercise. The lnguge L over Σ = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9,,, c, d, e, f,.word, x, } of vlid MIPS.word directives with positive deciml nd ll hexdeciml rguments. (Use to represent spce).word (( ) ( 0x( c d e f) )) 4. You re given regulr lnguge L nd DFA M = {Σ, Q, q 0, A, δ} for the lnguge. In pseudocode, write function tht tkes string s Σ s n rgument nd returns 1 if the string is in lnguge L, 0 otherwise. ssuming s hs length n stte <- q 0 for i from 1 to n stte <- δ( stte, s i ) return ( stte A) 5. Give n NFA for ech of the following lnguges: No solutions will e provided for this question () The lnguge A over Σ = {0, 1} of strings ends with either 100 or 1. () The lnguge B over Σ = {0, 1} tht is the complement of A. (For ny lnguge A Σ, the complement of A is Σ \ A) (c) The lnguge over Σ = {c,,r,t} where words in the lnguge must end with cr or hve ct s sustring. (d) The lnguge over Σ = {c,,r,t} where words must end with tr nd hve rt s sustring. (e) Exercise. The lnguge over Σ = {,,c,d} where words must either include t lest one nd no s, or must include t lest one followed y t lest one c. 6. For the 2 NFAs from the previous question, give n ɛ-nfa for the lnguge B A. Descrie the lnguge ccepted y this utomton. 7

8 7. Convert the following NFA into DFA., strt DFA: strt 0 0,2 0,2,3 0,1 0,1,3 8

9 5 Scnning MINUS DECR strt START 1-9 INT -f,0-9 0 e x -f,0-9 ZERO ZEROX HEXINT -d,f-z E -z,0-9 n -z,0-9, -m,o-z,0-9 ID d -z,0-9, EN END -c,e-z,0-9?? 1. Using the ove DFA, produce tokeniztion of the following strings using the Simplified Mximl Munch lgorithm. If the scnning produces n error, output ll the tokens recognized up until the error nd then the string ERROR. () 0xc0x xff HEXINT 0xc0, ID x1, INT -23, DECR --, INT 70, ID xff () 0xeef--0xkcd HEXINT 0xeef, DECR --, ERROR 9

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

Definition of Regular Expression

Definition of Regular Expression Definition of Regulr Expression After the definition of the string nd lnguges, we re redy to descrie regulr expressions, the nottion we shll use to define the clss of lnguges known s regulr sets. Recll

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

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

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

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

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

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

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis

CS143 Handout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexical Analysis CS143 Hndout 07 Summer 2011 June 24 th, 2011 Written Set 1: Lexicl Anlysis In this first written ssignment, you'll get the chnce to ply round with the vrious constructions tht come up when doing lexicl

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

Lexical Analysis: Constructing a Scanner from Regular Expressions

Lexical Analysis: Constructing a Scanner from Regular Expressions Lexicl Anlysis: Constructing Scnner from Regulr Expressions Gol Show how to construct FA to recognize ny RE This Lecture Convert RE to n nondeterministic finite utomton (NFA) Use Thompson s construction

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

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών. Lecture 3b Lexical Analysis Elias Athanasopoulos

ΕΠΛ323 - Θεωρία και Πρακτική Μεταγλωττιστών. Lecture 3b Lexical Analysis Elias Athanasopoulos ΕΠΛ323 - Θωρία και Πρακτική Μταγλωττιστών Lecture 3 Lexicl Anlysis Elis Athnsopoulos elisthn@cs.ucy.c.cy RecogniNon of Tokens if expressions nd relnonl opertors if è if then è then else è else relop è

More information

CSCE 531, Spring 2017, Midterm Exam Answer Key

CSCE 531, Spring 2017, Midterm Exam Answer Key CCE 531, pring 2017, Midterm Exm Answer Key 1. (15 points) Using the method descried in the ook or in clss, convert the following regulr expression into n equivlent (nondeterministic) finite utomton: (

More information

CS 430 Spring Mike Lam, Professor. Parsing

CS 430 Spring Mike Lam, Professor. Parsing CS 430 Spring 2015 Mike Lm, Professor Prsing Syntx Anlysis We cn now formlly descrie lnguge's syntx Using regulr expressions nd BNF grmmrs How does tht help us? Syntx Anlysis We cn now formlly descrie

More information

Tries. Yufei Tao KAIST. April 9, Y. Tao, April 9, 2013 Tries

Tries. Yufei Tao KAIST. April 9, Y. Tao, April 9, 2013 Tries Tries Yufei To KAIST April 9, 2013 Y. To, April 9, 2013 Tries In this lecture, we will discuss the following exct mtching prolem on strings. Prolem Let S e set of strings, ech of which hs unique integer

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

Finite Automata. Lecture 4 Sections Robb T. Koether. Hampden-Sydney College. Wed, Jan 21, 2015

Finite Automata. Lecture 4 Sections Robb T. Koether. Hampden-Sydney College. Wed, Jan 21, 2015 Finite Automt Lecture 4 Sections 3.6-3.7 Ro T. Koether Hmpden-Sydney College Wed, Jn 21, 2015 Ro T. Koether (Hmpden-Sydney College) Finite Automt Wed, Jn 21, 2015 1 / 23 1 Nondeterministic Finite Automt

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

Reducing a DFA to a Minimal DFA

Reducing a DFA to a Minimal DFA Lexicl Anlysis - Prt 4 Reducing DFA to Miniml DFA Input: DFA IN Assume DFA IN never gets stuck (dd ded stte if necessry) Output: DFA MIN An equivlent DFA with the minimum numer of sttes. Hrry H. Porter,

More information

Topic 2: Lexing and Flexing

Topic 2: Lexing and Flexing Topic 2: Lexing nd Flexing COS 320 Compiling Techniques Princeton University Spring 2016 Lennrt Beringer 1 2 The Compiler Lexicl Anlysis Gol: rek strem of ASCII chrcters (source/input) into sequence of

More information

Mid-term exam. Scores. Fall term 2012 KAIST EE209 Programming Structures for EE. Thursday Oct 25, Student's name: Student ID:

Mid-term exam. Scores. Fall term 2012 KAIST EE209 Programming Structures for EE. Thursday Oct 25, Student's name: Student ID: Fll term 2012 KAIST EE209 Progrmming Structures for EE Mid-term exm Thursdy Oct 25, 2012 Student's nme: Student ID: The exm is closed book nd notes. Red the questions crefully nd focus your nswers on wht

More information

CS 340, Fall 2014 Dec 11 th /13 th Final Exam Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string.

CS 340, Fall 2014 Dec 11 th /13 th Final Exam Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string. CS 340, Fll 2014 Dec 11 th /13 th Finl Exm Nme: Note: in ll questions, the specil symol ɛ (epsilon) is used to indicte the empty string. Question 1. [5 points] Consider the following regulr expression;

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

Deterministic. Finite Automata. And Regular Languages. Fall 2018 Costas Busch - RPI 1

Deterministic. Finite Automata. And Regular Languages. Fall 2018 Costas Busch - RPI 1 Deterministic Finite Automt And Regulr Lnguges Fll 2018 Costs Busch - RPI 1 Deterministic Finite Automton (DFA) Input Tpe String Finite Automton Output Accept or Reject Fll 2018 Costs Busch - RPI 2 Trnsition

More information

Lexical analysis, scanners. Construction of a scanner

Lexical analysis, scanners. Construction of a scanner Lexicl nlysis scnners (NB. Pges 4-5 re for those who need to refresh their knowledge of DFAs nd NFAs. These re not presented during the lectures) Construction of scnner Tools: stte utomt nd trnsition digrms.

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

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

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

CMPSC 470: Compiler Construction

CMPSC 470: Compiler Construction CMPSC 47: Compiler Construction Plese complete the following: Midterm (Type A) Nme Instruction: Mke sure you hve ll pges including this cover nd lnk pge t the end. Answer ech question in the spce provided.

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

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

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

CS 432 Fall Mike Lam, Professor a (bc)* Regular Expressions and Finite Automata

CS 432 Fall Mike Lam, Professor a (bc)* Regular Expressions and Finite Automata CS 432 Fll 2017 Mike Lm, Professor (c)* Regulr Expressions nd Finite Automt Compiltion Current focus "Bck end" Source code Tokens Syntx tree Mchine code chr dt[20]; int min() { flot x = 42.0; return 7;

More information

CS412/413. Introduction to Compilers Tim Teitelbaum. Lecture 4: Lexical Analyzers 28 Jan 08

CS412/413. Introduction to Compilers Tim Teitelbaum. Lecture 4: Lexical Analyzers 28 Jan 08 CS412/413 Introduction to Compilers Tim Teitelum Lecture 4: Lexicl Anlyzers 28 Jn 08 Outline DFA stte minimiztion Lexicl nlyzers Automting lexicl nlysis Jlex lexicl nlyzer genertor CS 412/413 Spring 2008

More information

CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona

CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona CSc 453 Compilers nd Systems Softwre 4 : Lexicl Anlysis II Deprtment of Computer Science University of Arizon collerg@gmil.com Copyright c 2009 Christin Collerg Implementing Automt NFAs nd DFAs cn e hrd-coded

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

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University of the Negev

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University of the Negev Fll 2016-2017 Compiler Principles Lecture 1: Lexicl Anlysis Romn Mnevich Ben-Gurion University of the Negev Agend Understnd role of lexicl nlysis in compiler Regulr lnguges reminder Lexicl nlysis lgorithms

More information

What are suffix trees?

What are suffix trees? Suffix Trees 1 Wht re suffix trees? Allow lgorithm designers to store very lrge mount of informtion out strings while still keeping within liner spce Allow users to serch for new strings in the originl

More information

Assignment 4. Due 09/18/17

Assignment 4. Due 09/18/17 Assignment 4. ue 09/18/17 1. ). Write regulr expressions tht define the strings recognized by the following finite utomt: b d b b b c c b) Write FA tht recognizes the tokens defined by the following regulr

More information

Should be done. Do Soon. Structure of a Typical Compiler. Plan for Today. Lab hours and Office hours. Quiz 1 is due tonight, was posted Tuesday night

Should be done. Do Soon. Structure of a Typical Compiler. Plan for Today. Lab hours and Office hours. Quiz 1 is due tonight, was posted Tuesday night Should e done L hours nd Office hours Sign up for the miling list t, strting to send importnt info to list http://groups.google.com/group/cs453-spring-2011 Red Ch 1 nd skim Ch 2 through 2.6, red 3.3 nd

More information

Scanner Termination. Multi Character Lookahead. to its physical end. Most parsers require an end of file token. Lex and Jlex automatically create an

Scanner Termination. Multi Character Lookahead. to its physical end. Most parsers require an end of file token. Lex and Jlex automatically create an Scnner Termintion A scnner reds input chrcters nd prtitions them into tokens. Wht hppens when the end of the input file is reched? It my be useful to crete n Eof pseudo-chrcter when this occurs. In Jv,

More information

Implementing Automata. CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona

Implementing Automata. CSc 453. Compilers and Systems Software. 4 : Lexical Analysis II. Department of Computer Science University of Arizona Implementing utomt Sc 5 ompilers nd Systems Softwre : Lexicl nlysis II Deprtment of omputer Science University of rizon collerg@gmil.com opyright c 009 hristin ollerg NFs nd DFs cn e hrd-coded using this

More information

Theory of Computation CSE 105

Theory of Computation CSE 105 $ $ $ Theory of Computtion CSE 105 Regulr Lnguges Study Guide nd Homework I Homework I: Solutions to the following problems should be turned in clss on July 1, 1999. Instructions: Write your nswers clerly

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

Lecture T1: Pattern Matching

Lecture T1: Pattern Matching Introduction to Theoreticl CS Lecture T: Pttern Mtchin Two fundmentl questions. Wht cn computer do? Wht cn computer do with limited resources? Generl pproch. Don t tlk out specific mchines or prolems.

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

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

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

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

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

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

MTH 146 Conics Supplement

MTH 146 Conics Supplement 105- Review of Conics MTH 146 Conics Supplement In this section we review conics If ou ne more detils thn re present in the notes, r through section 105 of the ook Definition: A prol is the set of points

More information

Midterm I Solutions CS164, Spring 2006

Midterm I Solutions CS164, Spring 2006 Midterm I Solutions CS164, Spring 2006 Februry 23, 2006 Plese red ll instructions (including these) crefully. Write your nme, login, SID, nd circle the section time. There re 8 pges in this exm nd 4 questions,

More information

Intermediate Information Structures

Intermediate Information Structures CPSC 335 Intermedite Informtion Structures LECTURE 13 Suffix Trees Jon Rokne Computer Science University of Clgry Cnd Modified from CMSC 423 - Todd Trengen UMD upd Preprocessing Strings We will look t

More information

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications.

Fall 2018 Midterm 1 October 11, ˆ You may not ask questions about the exam except for language clarifications. 15-112 Fll 2018 Midterm 1 October 11, 2018 Nme: Andrew ID: Recittion Section: ˆ You my not use ny books, notes, extr pper, or electronic devices during this exm. There should be nothing on your desk or

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

Scanner Termination. Multi Character Lookahead

Scanner Termination. Multi Character Lookahead If d.doublevlue() represents vlid integer, (int) d.doublevlue() will crete the pproprite integer vlue. If string representtion of n integer begins with ~ we cn strip the ~, convert to double nd then negte

More information

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES

UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS 1 COMPUTATION & LOGIC INSTRUCTIONS TO CANDIDATES UNIVERSITY OF EDINBURGH COLLEGE OF SCIENCE AND ENGINEERING SCHOOL OF INFORMATICS INFORMATICS COMPUTATION & LOGIC Sturdy st April 7 : to : INSTRUCTIONS TO CANDIDATES This is tke-home exercise. It will not

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

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the LR() nlysis Drwcks of LR(). Look-hed symols s eplined efore, concerning LR(), it is possile to consult the net set to determine, in the reduction sttes, for which symols it would e possile to perform reductions.

More information

Midterm 2 Sample solution

Midterm 2 Sample solution Nme: Instructions Midterm 2 Smple solution CMSC 430 Introduction to Compilers Fll 2012 November 28, 2012 This exm contins 9 pges, including this one. Mke sure you hve ll the pges. Write your nme on the

More information

CMSC 331 First Midterm Exam

CMSC 331 First Midterm Exam 0 00/ 1 20/ 2 05/ 3 15/ 4 15/ 5 15/ 6 20/ 7 30/ 8 30/ 150/ 331 First Midterm Exm 7 October 2003 CMC 331 First Midterm Exm Nme: mple Answers tudent ID#: You will hve seventy-five (75) minutes to complete

More information

Information Retrieval and Organisation

Information Retrieval and Organisation Informtion Retrievl nd Orgnistion Suffix Trees dpted from http://www.mth.tu.c.il/~himk/seminr02/suffixtrees.ppt Dell Zhng Birkeck, University of London Trie A tree representing set of strings { } eef d

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

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

Lecture T4: Pattern Matching

Lecture T4: Pattern Matching Introduction to Theoreticl CS Lecture T4: Pttern Mtching Two fundmentl questions. Wht cn computer do? How fst cn it do it? Generl pproch. Don t tlk bout specific mchines or problems. Consider miniml bstrct

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

CS 340, Fall 2016 Sep 29th Exam 1 Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string.

CS 340, Fall 2016 Sep 29th Exam 1 Note: in all questions, the special symbol ɛ (epsilon) is used to indicate the empty string. CS 340, Fll 2016 Sep 29th Exm 1 Nme: Note: in ll questions, the speil symol ɛ (epsilon) is used to indite the empty string. Question 1. [10 points] Speify regulr expression tht genertes the lnguge over

More information

Agilent Mass Hunter Software

Agilent Mass Hunter Software Agilent Mss Hunter Softwre Quick Strt Guide Use this guide to get strted with the Mss Hunter softwre. Wht is Mss Hunter Softwre? Mss Hunter is n integrl prt of Agilent TOF softwre (version A.02.00). Mss

More information

LR Parsing, Part 2. Constructing Parse Tables. Need to Automatically Construct LR Parse Tables: Action and GOTO Table

LR Parsing, Part 2. Constructing Parse Tables. Need to Automatically Construct LR Parse Tables: Action and GOTO Table TDDD55 Compilers nd Interpreters TDDB44 Compiler Construction LR Prsing, Prt 2 Constructing Prse Tles Prse tle construction Grmmr conflict hndling Ctegories of LR Grmmrs nd Prsers Peter Fritzson, Christoph

More information

LING/C SC/PSYC 438/538. Lecture 21 Sandiway Fong

LING/C SC/PSYC 438/538. Lecture 21 Sandiway Fong LING/C SC/PSYC 438/538 Lecture 21 Sndiwy Fong Tody's Topics Homework 8 Review Optionl Homework 9 (mke up on Homework 7) Homework 8 Review Question1: write Prolog regulr grmmr for the following lnguge:

More information

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig CS311H: Discrete Mthemtics Grph Theory IV Instructor: Işıl Dillig Instructor: Işıl Dillig, CS311H: Discrete Mthemtics Grph Theory IV 1/25 A Non-plnr Grph Regions of Plnr Grph The plnr representtion of

More information

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University

Fall Compiler Principles Lecture 1: Lexical Analysis. Roman Manevich Ben-Gurion University Fll 2014-2015 Compiler Principles Lecture 1: Lexicl Anlysis Romn Mnevich Ben-Gurion University Agend Understnd role of lexicl nlysis in compiler Lexicl nlysis theory Implementing professionl scnner vi

More information

Suffix trees, suffix arrays, BWT

Suffix trees, suffix arrays, BWT ALGORITHMES POUR LA BIO-INFORMATIQUE ET LA VISUALISATION COURS 3 Rluc Uricru Suffix trees, suffix rrys, BWT Bsed on: Suffix trees nd suffix rrys presenttion y Him Kpln Suffix trees course y Pco Gomez Liner-Time

More information

Algorithm Design (5) Text Search

Algorithm Design (5) Text Search Algorithm Design (5) Text Serch Tkshi Chikym School of Engineering The University of Tokyo Text Serch Find sustring tht mtches the given key string in text dt of lrge mount Key string: chr x[m] Text Dt:

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

CS 321 Programming Languages and Compilers. Bottom Up Parsing

CS 321 Programming Languages and Compilers. Bottom Up Parsing CS 321 Progrmming nguges nd Compilers Bottom Up Prsing Bottom-up Prsing: Shift-reduce prsing Grmmr H: fi ; fi b Input: ;;b hs prse tree ; ; b 2 Dt for Shift-reduce Prser Input string: sequence of tokens

More information

9.1 apply the distance and midpoint formulas

9.1 apply the distance and midpoint formulas 9.1 pply the distnce nd midpoint formuls DISTANCE FORMULA MIDPOINT FORMULA To find the midpoint between two points x, y nd x y 1 1,, we Exmple 1: Find the distnce between the two points. Then, find the

More information

12 <= rm <digit> 2 <= rm <no> 2 <= rm <no> <digit> <= rm <no> <= rm <number>

12 <= rm <digit> 2 <= rm <no> 2 <= rm <no> <digit> <= rm <no> <= rm <number> DDD16 Compilers nd Interpreters DDB44 Compiler Construction R Prsing Prt 1 R prsing concept Using prser genertor Prse ree Genertion Wht is R-prsing? eft-to-right scnning R Rigthmost derivtion in reverse

More information

Example: Source Code. Lexical Analysis. The Lexical Structure. Tokens. What do we really care here? A Sample Toy Program:

Example: Source Code. Lexical Analysis. The Lexical Structure. Tokens. What do we really care here? A Sample Toy Program: Lexicl Anlysis Red source progrm nd produce list of tokens ( liner nlysis) source progrm The lexicl structure is specified using regulr expressions Other secondry tsks: (1) get rid of white spces (e.g.,

More information

Problem Set 2 Fall 16 Due: Wednesday, September 21th, in class, before class begins.

Problem Set 2 Fall 16 Due: Wednesday, September 21th, in class, before class begins. Problem Set 2 Fll 16 Due: Wednesdy, September 21th, in clss, before clss begins. 1. LL Prsing For the following sub-problems, consider the following context-free grmmr: S T$ (1) T A (2) T bbb (3) A T (4)

More information

2014 Haskell January Test Regular Expressions and Finite Automata

2014 Haskell January Test Regular Expressions and Finite Automata 0 Hskell Jnury Test Regulr Expressions nd Finite Automt This test comprises four prts nd the mximum mrk is 5. Prts I, II nd III re worth 3 of the 5 mrks vilble. The 0 Hskell Progrmming Prize will be wrded

More information

Uninformed Search. Hal Daumé III. Computer Science University of Maryland CS 421: Introduction to Artificial Intelligence 31 Jan 2012

Uninformed Search. Hal Daumé III. Computer Science University of Maryland CS 421: Introduction to Artificial Intelligence 31 Jan 2012 1 Hl Dumé III (me@hl3.nme) Uninformed Serch Hl Dumé III Comuter Science University of Mrylnd me@hl3.nme CS 421: Introduction to Artificil Intelligence 31 Jn 2012 Mny slides courtesy of Dn Klein, Sturt

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

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

Qubit allocation for quantum circuit compilers

Qubit allocation for quantum circuit compilers Quit lloction for quntum circuit compilers Nov. 10, 2017 JIQ 2017 Mrcos Yukio Sirichi Sylvin Collnge Vinícius Fernndes dos Sntos Fernndo Mgno Quintão Pereir Compilers for quntum computing The first genertion

More information

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012 Dynmic Progrmming Andres Klppenecker [prtilly bsed on slides by Prof. Welch] 1 Dynmic Progrmming Optiml substructure An optiml solution to the problem contins within it optiml solutions to subproblems.

More information

Sample Midterm Solutions COMS W4115 Programming Languages and Translators Monday, October 12, 2009

Sample Midterm Solutions COMS W4115 Programming Languages and Translators Monday, October 12, 2009 Deprtment of Computer cience Columbi University mple Midterm olutions COM W4115 Progrmming Lnguges nd Trnsltors Mondy, October 12, 2009 Closed book, no ids. ch question is worth 20 points. Question 5(c)

More information

EXPONENTIAL & POWER GRAPHS

EXPONENTIAL & POWER GRAPHS Eponentil & Power Grphs EXPONENTIAL & POWER GRAPHS www.mthletics.com.u Eponentil EXPONENTIAL & Power & Grphs POWER GRAPHS These re grphs which result from equtions tht re not liner or qudrtic. The eponentil

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

Principles of Programming Languages

Principles of Programming Languages Principles of Progrmming Lnguges h"p://www.di.unipi.it/~ndre/did2c/plp- 14/ Prof. Andre Corrdini Deprtment of Computer Science, Pis Lesson 5! Gener;on of Lexicl Anlyzers Creting Lexicl Anlyzer with Lex

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

Compilation

Compilation Compiltion 0368-3133 Lecture 2: Lexicl Anlysis Nom Rinetzky 1 2 Lexicl Anlysis Modern Compiler Design: Chpter 2.1 3 Conceptul Structure of Compiler Compiler Source text txt Frontend Semntic Representtion

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

Creating Flexible Interfaces. Friday, 24 April 2015

Creating Flexible Interfaces. Friday, 24 April 2015 Creting Flexible Interfces 1 Requests, not Objects Domin objects re esy to find but they re not t the design center of your ppliction. Insted, they re trp for the unwry. Sequence digrms re vehicle for

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

University of Waterloo Midterm Examination

University of Waterloo Midterm Examination University of Waterloo Midterm Examination 1 Fall 2008 Student Name: UW Student ID Number: UW Userid: Course Abbreviation and Number: CS 241 Course Title: Foundations of Sequential Programs Section(s):

More information

CMPT 379 Compilers. Lexical Analysis

CMPT 379 Compilers. Lexical Analysis CMPT 379 Compilers Anoop Srkr http://www.cs.sfu.c/~noop 9//7 Lexicl Anlysis Also clled scnning, tke input progrm string nd convert into tokens Exmple: T_DOUBLE ( doule ) T_IDENT ( f ) T_OP ( = ) doule

More information

Pointwise convergence need not behave well with respect to standard properties such as continuity.

Pointwise convergence need not behave well with respect to standard properties such as continuity. Chpter 3 Uniform Convergence Lecture 9 Sequences of functions re of gret importnce in mny res of pure nd pplied mthemtics, nd their properties cn often be studied in the context of metric spces, s in Exmples

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