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4: Lecture Assembly Language Computer Engineering 211 Spring 2002 Memory Addressing Byte addressable B 0 1 2 3 H = 232 = 4G Endian ness of Memory Addressing Cohen's article: On Holy Wars and a Plea for Peace, IEEE Computer, Oct 81. bits, bytes words , pages CPU Memory What order are they composed in order to form the next object in the hierarchy? LSB (less significant unit) travels first little endians (Lilliputians) MSB (more significant unit) travels first big endians (Blefuscians) Endian ness Big endian: IBM 360, MIPS, Motorola 680xx, SPARC, DLX Little endian: DEC VAX,Compaq/HP Alpha, Intel 80x86 Selectable: PowerPC, MIPS: mode bit: 0 Big, 1 Little A Contents Word at Addr 4: 4 0x10 0X10203040 (Big) 5 0x20 6 0x30 0x40302010 (Little) 7 0x40 Memory addressing contd: data alignment Most machines are byte addressable. Object Byte Half word Word Double word Aligned at byte addr 0,1,2,3,4,5,6,7 0,2,4,6 0,4 0 Misaligned at byte addr Never 1,3,5,7 1,2,3,5,6,7 1,2,3,4,5,6,7 Physical Rationale for Alignment 10 addr. bits 1K to 1 Decoder 1K 1KX1B memory .. 32 to 1 decoder 3 2 32X32B memory 5 MSB Addr bits 5 LSB Addr bits 32 B 32 to 1 multiplexor 1 B Costs of misalignment a3 B0 B1 B2 B3 B4 B5 B6 B7 a3=0 0 1 2 3 Memory Multiplexor a2 B0/4 B1/5 B2/6 B3/7 B0/4/ 2/6 B1/5/ 3/7 a3=1 4 a2=0 5 6 a2=1 7 a1 3 addr bits: a3, a2, a1 Costs of misalignment Memory Multiplexor a3=0 0 3 addr bits: a3, a2, a1 1 2 a3=1 5 6 a2=1 7 3 4 Word at addr: 2 a2=0 Misaligned Access Access word at address 2? Two memory accesses: Word at address 0. Word at address 4. Align the bytes. 0 1 2 3 4 5 6 7 Data Alignment Network Internal bus/reg file memory port Costs of Alignment Some space is wasted! Struct { int a/* 0xaabbccdd word double */ b /* 0x0011223344556677 double */ char c /* 0xab byte */ short d /* 0x0011 halfword */ } s; 15 bytes overall! 0(aa) 1(bb) 2(cc) 3(dd) 4() 5() 6() 7() 8(00) 9(11) 10(22) 11(33) 12(44) 13(55) 14(66) 15(77) 16(ab) 17() 18(00) 19(11) Little Endian Allocation 0(dd) 1(cc) 2(bb) 3(aa) 8(77) 9(66) 10(55) 11(44) 12(33) 13(22) 14(11) 15(00) 16(ab) 17() 18(11) 19(00) 4() 5() 6() 7() Array Memory access Array A[100] of byte sized data. AddrA A[0] A[1] A[2] A[3] . . . A[98] A[99] Memory address of A[i]? Addr[A[i]] = AddrA +i; Address for Word sized A? Addr[A[i]] = AddrA +4*i; Address for size sized elements of A? Addr[A[i]] = AddrA +size*i; Array Access How to access A[i]? lw $r1, displacement (register) results in displacement + [register] Address of A[i] = AddrA +i Displacement AddrA; i register or Displacement i; register AddrA? lw $r1, AddrA ($r2) for $r2 i or lw $r1, i ($r2) for $r2 AddrA Array Access Put i into a base register: $r2 i; lw $r1, AddrA ($r2) Any problems? What if AddrA requires more than 16 bits? 217. for (i=0; i< 100; i=i+1;) A[i] = A[i] + A[i+5]; Array Access: Base & Index AddrA: Base address. Put it into a base register: $r2. lui $r2, high half addi $r2, $r2, low half A[4]: 4($r2) A[8]: 8($r2) A[I]: ? i($r2)? Loop Embedded Arrays for (i=0; i< 100; i=i+1;) A[i] = A[i] + A[i+5]; lb $r1, i($r2) # load A[i] lb $r3, i+5($r2) # load A[i+5] add $r1, $r1, $r3 sb $r1, i($r2) # store A[i] Loop Embedded Arrays AddrA: $r2; $r5 i; add $r6, $r2, $r5 lb $r1, 0($r6) # load A[i] lb $r3, 5($r6) # load A[i+5] add $r1, $r1, $r3 sb $r1, 0($r6) # store A[i] addi $r5, $r5, 1 # i= i+1 Loop Embedded Arrays $r2 AddrA; $r5 i; Base reg. Index reg. lw r1, r2, r5 // load A[i]
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Iowa State >> CPRE >> 211 (Fall, 2009)
Lecture 26: TPU Programming Computer Engineering 211 Spring 2002 Another TPU Function: Output Compare (OC) Program as an output channel. Ability to generate an event on the output. A single output transition, a single pulse, or a continuous 5...
Iowa State >> EE >> 465 (Fall, 2009)
EE 465 Spring 2002 Final Exam May 8, 2002 Name_ This exam is open book and open notes, but is to be completed without any collaboration of any kind. There are ten problems. Each problem is worth the number of points indicated. The total poin...
Iowa State >> EE >> 465 (Fall, 2009)
Altera FPLDs MAX o floating-gate programming o suitable for combinationally intensive designs or complex finite-state machines FLEX o Flexible Logic Element matriX o static RAM programming o suitable for register-intensive designs Altera FPLDs Pa...
Allan Hancock College >> EMS >> 3025 (Fall, 2009)
Monitoring bore hole locations and heights: East 272398.42 272640.99 272635.18 272717.03 272723.33 272730.01 272998.21 272715.55 272714.36 272501.04 272500.03 North 6178523.60 6178299.34 6178312.46 6178212.57 6178203.08 6178181.84 6178077.97 6177691....
Colby >> BI >> 131 (Fall, 2009)
BI 131 Laboratory Natural History Essay Checkpoint #2 For the second checkpoint of the Natural History Essay assignment I would like you to submit a rough draft of your essay. As a minimum, the rough draft should include at least two things: First, I...
Simmons >> DOCS >> 0607 (Fall, 2009)
Simmons College Payroll and Benefits Office 300 The Fenway Boston, MA 02115 Summary of Benefits PART-TIME BENEFITS-ELIGIBLE EMPLOYEES _ PAYCHECKS Biweekly paychecks are issued every other Tuesday for earnings of the previous week and in advance to th...
Indiana State >> CARBON >> 106 (Fall, 2009)
...
Indiana State >> CARBON >> 106 (Fall, 2009)
Name _ Chemistry 106 May 2, 2007 Final Exam 1. (4 pts) Indicate whether the following molecules are polar or not (circle the appropriate response). Also, indicate the dominant type of intermolecular force by which the molecules interact in the liqui...
Indiana State >> CARBON >> 106 (Fall, 2009)
Name _ Chem 106 May 3, 2006 Final Exam 1. (2 pts) Circle the molecules that have a permanent dipole moment. CH3F 2. CO2 N2 H2O H2C=O (2 pts) Circle the molecules that interact via hydrogen bonding, and cross out those that interact only by dispersi...
Indiana State >> CARBON >> 105 (Fall, 2009)
Name _ Chemistry 105 September 13, 2006 First Hour Exam Fill in the blanks: (1 pt each, 60 pts total) 1. Convert the following to scientific notation: 0.0000504 _ 2. 1340.1 _ Determine the number of significant figures in the following numbers: 6.5...
Indiana State >> CARBON >> 105 (Fall, 2009)
...
Indiana State >> CARBON >> 105 (Fall, 2009)
Name _ Chemistry 105 December 12, 2007 Final Exam Fill-in-the-Blanks and Multiple Choice: (1 pt each, 16 pts total) 1. 2. 3. 4. 5. 6. 7. A substance that can be chemically separated is a(n) _. The Group 17 elements are called the _. HClO3 is called ...
Indiana State >> CARBON >> 105 (Fall, 2009)
Name _ Chemistry 105 November 30, 2007 Fourth Hour Exam Potentially Useful Information: c = Avogadros Number = 6.0221023 c = 2.9979108 m/s h = 6.6261034 J s Fill in the blanks: (1 pt each, 20 pts total) 1. 2. 3. 1 = 2.178 10 18 J 1 1 2 2 n...
Indiana State >> CARBON >> 106 (Fall, 2009)
Name _ Chem 106 March 3, 2006 Second Hour Exam Potentially Useful Information: k E 1 E 1 1 ln k = - a + ln A ln 1 = - a - k R T R T1 T2 2 K P = K ( RT ) n - b b 2 - 4ac 2a R = 8.314 J/mol K = 0.08206 L atm/mol K 1. x = (4 pts) Cir...
Indiana State >> CARBON >> 105 (Fall, 2009)
Name _ Chem105 Fillintheblanks:(1pteach,20ptstotal) 1. ConsiderUV,IR,andvisiblephotons._photonshavethehighest energy,_photonshavethelongestwavelengths,and_ photonshavethehighestfrequencies. 2. 3. 4. 5. 6. 7. 8. 9. Sketchbelowansandadorbital. s: ...
Indiana State >> CARBON >> 105 (Fall, 2009)
...
Indiana State >> CARBON >> 105 (Fall, 2009)
Name _ Chemistry 105 October 4, 2006 Second Hour Exam Fill in the blanks: (1 pt each, 18 pts total) 1. 2. Acids and bases react to form _ and _. Determine the oxidation numbers of the sulfur atoms in the following: _ H2S 3. 4. 5. 6. 7. _ H2SO4 _ S8 ...
Indiana State >> CARBON >> 105 (Fall, 2009)
...
Colby >> CH >> 332 (Fall, 2009)
In the Laboratory An Undergraduate Experiment for the Measurement of Trace Metals in Core Sediments by ICPAES and GFAAS Scott A. Mabury,* Dan Mathers, David A. Ellis, Patrick Lee, and Adam M. Marsella Department of Chemistry, University of Toronto, ...
Iowa State >> ENG >> 461 (Fall, 2009)
subroutine confun(uu,gg) include \'global.h\' real*8 uu(2),gg(2) integer i do i=1,2 u(i)=ukmin(i)+uu(i)*(ukmax(i)-ukmin(i) enddo call getcons(gg) return return end ...
Allan Hancock College >> EMS >> 3024 (Fall, 2009)
Magmatism and Metamorphism Jrg Hermann, Richard Arculus D.A Brown Building (47), E-mail: Richard.Arculus@anu.edu.au Tel: 6125 3778 RSES, Jaeger 1, 218 E-mail: Joerg.Hermann@anu.edu.au Tel: 6125 8842 Organization Reading Rocks Outline of the course Te...
Iowa State >> CPRE >> 526 (Fall, 2009)
EXECUTABLE = cart SOURCE = $(EXECUTABLE).cpp CC_OPTION = -I /remote/sup/mpich-1.1.2/include RUN_OPTION = -np 16 default: mpiCC -o $(EXECUTABLE) $(SOURCE) $(CC_OPTION) clean: rm *.o; rm *.exe run: mpirun $(RUN_OPTION) $(EXECUTABLE) die: fore...
Iowa State >> CPRE >> 556 (Fall, 2009)
Last Name Banerjee Bezdek Bierbaum Boardman Dehlinger Feng Galdames Gharaibeh Hahn Hu Muthusrinivasan Qleibo Rice Shipton Tang Wei Wemhoff Yang Yu Tools assigned for the presentation due on Jan 25 ITS4, BOON, CRED, CQUAL, Flawfinder ITS4, BOON, C-CU...
Iowa State >> CHAPTER >> 308 (Fall, 2009)
Chapter 4 Memory Management 4.1 Basic memory management 4.2 Swapping 4.3 Virtual memory 4.4 Page replacement algorithms 4.5 Modeling page replacement algorithms 4.6 Design issues for paging systems 4.7 Implementation issues 4.8 Segmentation 1 Memory...
Sanford-Brown Institute >> EN >> 291 (Fall, 2009)
Name: EN291-S01 Advanced Computer Architecture Homework #1 Due September 29, 2004 Problem 1. Pipeline Hazards and Interlock In this problem, you should follow the systematic approach presented in Lecture 2 and 3 to determine and resolve hazards in a...
Sanford-Brown Institute >> CS >> 292 (Fall, 2009)
79 130 77 139 77 140 77 144 79 151 79 155 81 162 84 164 91 166 95 166 100 164 102 159 99 157 96 154 92 155 87 154 84 149 83 143 83 137 83 131 85 125 87 119 89 117 92 115 96 115 100 117 103 117 103 115 101 111 99 107 96 105 92 105 88 107 85 110 83 115...
Sanford-Brown Institute >> CS >> 292 (Fall, 2009)
76 127 75 132 75 139 75 146 75 154 78 161 80 164 82 167 87 168 92 169 96 167 100 164 100 159 98 155 94 156 90 158 86 156 82 151 81 146 81 142 81 137 81 132 82 127 84 122 86 118 88 114 91 113 94 112 99 112 102 114 105 113 104 108 102 103 98 102 92 102...
Sanford-Brown Institute >> CS >> 292 (Fall, 2009)
72 123 72 128 71 133 71 137 71 143 73 149 75 156 77 161 80 166 84 168 88 168 95 169 99 166 101 162 100 158 97 155 93 156 89 158 86 157 83 153 80 148 79 143 79 137 79 131 82 126 84 120 87 115 91 111 95 111 100 111 103 113 110 115 112 114 113 109 107 1...
Iowa State >> B >> 90126 (Fall, 2009)
Marion County Extension 1445 Lake Dr. PO Box 409 Knoxville, IA 50138 Phone (641)842-2014 Email:xmarion@iastate.edu November 2008 Volume 6, Issue 9 The Green Scene Save a tree! Send your email address to kackley@iastate.edu to receive this publica...
Iowa State >> NR >> 79436 (Fall, 2009)
Crop Happenings May 13, 2008 Issue 2 Wet, cold, and slow progress. Its no news to any agronomist or farmer that planting progress has been slow and plant development has been very slow due to cold, wet soils. Lots of planting progress is made when c...
Iowa State >> ANS >> 352 (Fall, 2009)
Herd: 54 CALF CROP SUMMARY Herd: 54 Calf Crop: 10 Calf Crop: 10 Est...
Iowa State >> ANS >> 352 (Fall, 2009)
Herd: 16 CALF CROP SUMMARY Herd: 16 Calf Crop: 10 Calf Crop: 10 BULL 833 REQUESTED IS DEAD, SLAUGHTERED, OR A HEIFER -...
Iowa State >> ANS >> 352 (Fall, 2009)
Herd: 40 CALF CROP SUMMARY Herd: 40 Calf Crop: 10 Calf Crop: 10 BULL 901 REQUESTED IS DEAD, SLAUGHTERED, OR A HEIFER -...
NMT >> EE >> 341 (Fall, 2009)
EE341 Problem Set 3 Due BOC F 09/17 1) 2) 3) 4) 5) 6) E1.8 E1.9 E1.10 E1.13 P1.4-1 (sketch by hand and with matlab using subplot to get all four plots on one page) Express the following signals with a single expression valid for all t. a) 1 0 fa...
NMT >> EE >> 308 (Fall, 2009)
EE 308 Spring 2009 PID Motor Control How do you control the speed of a motor? Let SD be the desired speed, SM be the measured speed, and PWM be the PWM value. Define the error as e(t) = SD - SM 1. Proportional control: PWMP = kP e(t) 2. Integral co...
Rocky MT >> CSC >> 433 (Fall, 2009)
CSC 433 Compiler Construction October 8, 2008 More on activation records. As we continue our study of frames, remember that there are a handful of potentially frame-resident data types. Formal arguments. On some architectures (under some calling c...
Iowa State >> COX >> 2430 (Fall, 2009)
Beary Comfortable Ergonomic Assessment 1 Date: To: From: Subject: April 4, 2008 Benjamin T. Bear, Vice Provost for Interesting Projects Beary Comfortable Memo of Transmittal We have completed a proposal for an ergonomic assessment of the Science...
Iowa State >> STAT >> 101 (Fall, 2008)
STATISTICS 101 - Homework 11 You will go over this homework assignment in lecture during the week of April 27 1. For each of the following situations, indicate whether it is a two sample problem or a matched pairs problem. Explain briefly your choice...
Iowa State >> STAT >> 101 (Fall, 2008)
STATISTICS 101 - Homework 10 Answers Due Friday, April 24, 2009 This assignment is worth a total of 80 points. 1. (21 pts) Hallux abducto valgus (call it HAV) is a deformation of the big toe that is not common in youth and often requires surgery. Doc...
S.F. State >> EDDL >> 943 (Fall, 2008)
Cash Flow Exercise Input the following data into the Cash Flow Template file, in the appropriate places. All numbers are in $1000s. Note: Only January\'s figure is needed for Cash At Beginning of Month. Cash At Beginning of Month 504 n/a n/a n/a n/a ...
Iowa State >> STAT >> 516 (Spring, 2008)
0.195 0.547 0.696 0.881 0.141 0.063 0.614 0.014 0.0054 0.001 ...
Iowa State >> STAT >> 516 (Spring, 2008)
Slide1Cy3 Slide1Cy5 Slide2Cy3 Slide2Cy5 Slide3Cy3 Slide3Cy5 24 23 26 30 24 21 18 28 14 16 16 26 28 16 17 30 27 22 25 16 25 21 14 12 12 20 14 14 15 16 ...
Iowa State >> ECON >> 672 (Fall, 2008)
Lecture 2 Asymptotic Theory: Review of Some Basic Concepts (Reference 2.1, Hayashi) Before we develop a large sample theory for time series regressions, it will be useful to quickly review some fundamental concepts that you should be familiar with ...
Iowa State >> ECON >> 672 (Fall, 2008)
Lecture9 TheLagOperator (Reference6.1,Hayashi) Let{xt}denoteasequenceofrealnumbersor randomvariables. ThelagoperatorLisdefinedaccordingto: Lxt =xt1 Thus,asingleapplicationofthelagoperatortoa sequence{xt}definesasequence{yt},suchthatyt = xt1. Similar...
Iowa State >> ECON >> 672 (Fall, 2008)
Lecture 7 Regression Models with Serially Correleated Disturbances 1. Asymptotic Normality of the OLS Estimator with Serially Correlated Errors Proposition 2.1 in Hayashi uses the conditions that {xt,t} is a jointly stationary and ergodic process and...
East Los Angeles College >> AEM >> 713 (Fall, 2009)
BUSAEM713 Derivative Securities Lecture 3 Binomial Option Pricing Model AEM713 - Derivative Securities 1 Single Period BOPM In the BOPM the equilibrium price of an option is based on the law of one price. For calls this is found by equating th...
East Los Angeles College >> AEM >> 713 (Fall, 2009)
BUSAEM713 Derivative Securities Lecture 4 Binomial Option Pricing Model Puts AEM713 - Derivative Securities 1 Single Period BOPM for Puts The equilibrium value of a European put can also be found by determining the value of a replicating portfo...
East Los Angeles College >> AEM >> 713 (Fall, 2009)
BUSAEM713 Derivative Securities Lecture 8 Exotic Options AEM713 - Derivative Securities 1 Exotic Options An exotic option is usually one that is not traded on an exchange or one that is not identical to one traded on an exchange. What differe...
Berkeley >> EECS >> 737 (Fall, 2009)
UWB Transceiver Group LNA VGA S/H A/D MAC S/H A/D Data Recovery Synch Detect S/H A/D CLK GEN PULSE CONTROL Stanley Wang Ian O\'Donnell Mike Chen ...
UF >> QM >> 4412 (Fall, 2009)
Fin ...
UF >> QM >> 4412 (Fall, 2009)
- Stationary States have a very important additional property: They are orthogonal ! * n m d AllSpace IF =0 n m ! i.e. if n and m correspond to states of different energy! Combining the concept of Normalization and Orthogonality give the s...
UF >> QM >> 4412 (Fall, 2009)
Fin ...
UF >> QM >> 4412 (Fall, 2009)
Review of Concepts and Notation Fin ...
UF >> QM >> 4412 (Fall, 2009)
Fin ...
UCSD >> I >> 2500 (Fall, 2009)
Nitrate (mol/kg) for I01RS 17N (2500:1) 873 875 880 885 870 865 m 0 10 26 26 28 28 400 26 28 600 28 31 32 33 34 Computer Generated 15 20 22 24 26 200 30 800 30 31 28 500 45 50 1000 32 1000 55 km 0 Lon 1500 2000 60 860 859 ...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated Dissolved 100 105 110 115 120 125 Silica (mol/kg) for P18 105W (1250:1) - NORTH 130 135 140 145 150 155 160 165 170 175 180 185 190 194 m 0 1 5 200 4 30 400 40 50 60 800 70 80 1000 10 20 510 20 30 40 50 60 70 80 90 4 3 2 600 99...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 100 105 110 115 120 125 Tritium (TU) for P18 105W (1250:1) - NORTH 130 135 140 145 150 155 160 165 170 175 180 185 190 194 m 0 0.5 200 0.2 0.1 0.05 0.02 600 0.5 0.2 0.1 0.05 0.02 1 400 800 1000 99 km Lat -20 5500 -15 6000 ...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 10 15 20 25 30 Dissolved Silica (mol/kg) for P18 105W (1250:1) - SOUTH 35 40 45 50 55 60 65 70 75 80 85 90 95 m 0 20 200 5 400 10 600 10 800 30 1000 30 500 -65 -60 1 1 4 5 1 43 10 2 20 20 km 0 Lat 1000 -55 1500 2000 -50 25...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 10 15 20 25 30 35 3He (%) for P18 105W (1250:1) SOUTH 40 45 50 55 60 65 70 75 80 85 90 95 98 m 0 200 400 0 600 0 2 2 1000 800 km 0 Lat 65 500 60 1000 55 1500 2000 50 2500 45 3000 40 3500 35 4000 30 4500 25 5000 ...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 10 15 20 25 30 35 Tritium (TU) for P18 105W (1250:1) SOUTH 40 45 50 55 60 65 70 75 80 85 90 95 98 m 0 200 0.2 400 0.2 600 0.2 0.5 800 0.1 0.1 0.05 1000 km 0 Lat 65 500 60 1000 55 1500 2000 50 2500 45 3000 40 3500 3...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 10 15 20 25 30 35 CFC12 (pmol/kg) for P18 105W (1250:1) SOUTH 40 45 50 55 60 65 70 75 80 85 90 95 98 m 0 200 2 2 1.4 1.4 1.2 1 0.7 400 600 1.2 1 0.7 1000 0.5 0.35 0.25 0.18 0.13 0.09 2000 50 800 km 0 Lat 65 500 60 1000 ...
UCSD >> P >> 1250 (Fall, 2009)
Alkalinity (mol/kg) for P18 105W (500:1) NORTH 100 105 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 m 0 2330 500 2320 2370 2310 2300 2280 2300 2310 2320 2330 2340 2350 2360 2370 2380 2390 2400 2410 2420 2500 2420 2430 3000 24...
UCSD >> P >> 1250 (Fall, 2009)
Computer Generated 100 105 110 115 120 Total CO2 (mol/kg) for P18 105W (1250:1) - NORTH 125 130 135 140 145 150 155 160 165 170 175 180 185 190 m 0 2080 200 2260 2270 2240 2100 2120 2140 2160 2180 2200 2210 2230 2220 2060 2080 2230 2240 2250 2260 ...
Uni. Westminster >> JLK >> 0627 (Fall, 2009)
Construction Materials. Explorations and Science B. Avery, A. Kergaye 4/21/03 Jodi Kent For a Straw bale home Bismarck, North Dakota STRAW BALE HOUSE - WANAKA Construction Materials The building mater...
UCSD >> P >> 2500 (Fall, 2009)
Total CO2 (mol/kg) for P15 165W (1000:1) 104 109 114 119 124 129 134 139 144 149 154 159 164 122 117 112 107 102 33 38 43 48 53 58 63 68 73 78 83 88 94 99 97 92 87 82 77 72 67 62 57 52 47 42 37 32 27 17 12 m 0 2100 500 2140 2160 2180 2200 2210 2220 ...
UCSD >> P >> 2500 (Fall, 2009)
Computer Generated 104 109 114 119 124 129 33 38 43 48 53 58 63 68 73 78 83 88 94 99 Alkalinity (mol/kg) for P15 165W (2500:1) 134 139 144 149 154 159 164 122 117 112 107 102 97 92 87 82 77 72 67 62 57 52 47 42 37 32 27 17 12 3 1 m 0 2340 2370 200 ...
UCSD >> I >> 2500 (Fall, 2009)
Temperature (C) for I03 20S (2500:1) Computer Generated 562 560 555 550 545 540 535 530 525 520 515 510 505 500 495 490 485 480 475 470 465 460 455 450 m 0 24 23 22 21 20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 200 400 600 800 1000 km 0 Lon 50 ...
UCSD >> I >> 1250 (Fall, 2009)
Tritium (TU) for I03 20S (500:1) - EAST 496 495 490 485 480 475 470 465 460 455 450 445 444 m 0 1 500 0.02 1000 0.02 0.5 0.2 0.1 0.05 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 Computer Generated 6500 km Lon 3500 85 4000 90 450...
Iowa State >> HELL >> 3340 (Fall, 2009)
Cross-Cultural English 104: Assignment 3 Narrative of Custom Essay *Peer Review: Wed., Feb. 8th *Final draft due: Wed., Feb. 15th Purpose and Audience: _ __ _ _ _ Goals: 1) Enhancing the basic research skills used in assignment 2. 2) Incorporate ap...
Iowa State >> HELL >> 3340 (Fall, 2009)
Cross-Cultural English 105 Group Advertising Analysis Overview Kate Hellmann, Instructor hell3340@iastate.edu Whether they live in New York or New Guinea, people everywhere are bombarded with advertising. As part of being an informed citizen, you s...
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