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CSE30: Computer Organization and Systems Fall
创建日期：2024-04-27 15:26:24
标签： CSE30
Computer Organization and Systems Fall

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Assignment 7: Pollution Lookup

Revisited
CSE30: Computer Organization and Systems Fall

Please read over the entire assignment before starting to get a sense of what you will need to
get done in the next week. REMEMBER: Everyone procrastinates but it is important to know
that you are procrastinating and still leave yourself enough time to finish. Start early. You
MUST run the assignment on the pi cluster. You HAVE to SSH: You will not be able to
compile or run the assignment otherwise.
Please read the FAQ and search the existing questions on Edstem before asking for help.
This reduces the load on the teaching staff, and clutter/duplicate questions on Edstem.
Additionally, staff support is not guaranteed to be available after 9pm on Wednesdays.
Table of Contents
1. Table of Contents
2. Choose your Teammate
3. Learning Goals
4. Assignment Overview
5. Getting Started
a. Developing Your Program
b. Running Your Program
6. How the Program Works
a. Pollution Lookup Arguments
b. Output Examples
7. Program Implementation
a. Functions and Behaviors to Implement
i. node* node_lookup()
ii. void print_info()
8. Midpoint
9. Submission and Grading
a. Submitting
b. Grading Breakdown [5 + 5 + 40 pts]
i. Checking For Exact Output Match
Choose your Teammate
This HW may be on the longer side compared to previous HWs and you will be optionally
allowed to choose one teammate with whom you will work on this HW. There will be no extra
credit if you work alone, but at the same time we will not be responsible if your teammate
doesn’t do as much work as you’d want them to do. Choose your teammate wisely and divide
your work carefully. Changing teammates will not be allowed once you have submitted the
form. Both members of the team receive the same grade. No discussion is allowed with
members not in your team with regard to AI policy.
If you decide to work with a teammate, ONE of you has to submit this Form before Sunday 2/27
11.59 PM PST.
Learning Goals
● Programming in ARM assembly
● Passing parameters to assembly functions
● Iterating through linked lists and arrays in assembly
● Working with a teammate
Assignment Overview
The animals in the jungle were able to get their pollution statistics with your help in A5.
However, humans learnt C and were able to intercept their communications. Now, the animals
have no choice but to look up the pollution statistics using ARM. They need your help to do it.
For this assignment, you will be given the pollution data of a city provided in the form of a CSV
(comma separated value) file. The database will contain the following fields. All the fields are
integers this time (notice the float iws field is no longer there)
year month day hour pm2.5 TEMP
Your job is to implement the functions print_info() and node_lookup() from A5 in ARM.
For a reminder of how hashed chaining works, watch this 5 minute video from Prof. Leo Porter
about hash tables. Video on Google Drive
Getting Started
Developing Your Program
For this class, you MUST compile and run your programs on the pi-cluster. To access the
server, you will need your cs30wi22xx student account, and know how to SSH into the cluster.
Need help or instructions? See Edstem FAQ. (Do NOT wait until the end to try this. There will
be limited or no ETS support on the weekends!)

1. Download the files in the repository.
a. You can either use
git clone 
directly from the pi-cluster, or download the repo locally and scp the folder to
pi-cluster if that doesn’t work.
2. Fill out the fields in the README before turning in.
Running Your Program
You can directly use poll_rv-a7-ref as a command.
Makefile: The Makefile provided will create a poll_lookup executable from the source files
provided. Compile it by typing make into the terminal. By default, it will run with warnings turned
on. To compile without warnings, run make WARN= instead. Run make clean to remove files
generated by make.
How the Program Works
This section is the same as A5 (except that the iws column is removed - so there are 6
columns now). The program shall take a date to query, and the filename of the CSV as
arguments. It also takes some optional arguments: a flag to indicate printing of hash table
metadata, and a hash table size.
Inputs:
● Date
● Flag to print stats corresponding to a date
● Filename of the CSV
● Optional: Flag to print metadata
● Optional: Hash table size
● Optional: Flag which indicates if you need to remove all entries corresponding to a date
Outputs:
● The minimum, maximum, and average parameters of the query date, OR an error
message if the date couldn’t be found if the flag indicates you to print stats (The error
message is already handled for you).
● Optional: Hash table metadata
Pollution Lookup Arguments
Format for calling this executable with arguments (the flags cannot be grouped with each other,
e.g. -itc):
./poll_lookup [-i] [-t tablesize] <-d date> [-r date]
Argument(s) Description
-i
(User-optional flag)
Prints descriptive metadata about the hash table and its linked lists chains
after the query (as shown in the output examples).
-t tablesize
(User-optional flag)
tablesize (hash table size) is an integer specifying the size to be used to
create the hash table. If -t is not specified, the default is the constant
TABLE_SIZE.
If the argument to -t is smaller than the constant MIN_TABLE_SIZE, an
error message is printed with the usage message and the program quits.
-d date date is a string specifying the date in yyyy-mm-dd format. You need to
calculate the stats corresponding to date
-r date date is a string specifying the date in yyyy-mm-dd format. You need to
remove the hash table entries for date
filename This is the path to the input CSV. It must have six columns, in this order:
Year, month, day, hour, pm2.5, TEMP
We will not give malformed input CSVs to your program. The input path will
always be valid and be a properly-formatted CSV.
You do not have to write the option parsing: It is done for you in the provided function
parse_opts(). Do not edit parse_opts()!
If the mandatory arguments are not provided, their error messages are printed, followed by the
usage message. You can assume that a valid CSV will be included in any test command.
Output Examples
$ ./poll_lookup -i -d 2013-01-01 pollution.csv
Minimum pm2.5: 7 Maximum pm2.5: 35 Average pm2.5: 16
Minimum temp: -12 Maximum temp: -3 Average temp: -7
Total size: 1873
Total entries: 43824
Longest chain: 168
Shortest chain: 24
Empty buckets: 881
$ ./poll_lookup -i -d 2013-01-01 -r 2013-02-02 pollution.csv
Minimum pm2.5: 7 Maximum pm2.5: 35 Average pm2.5: 16
Minimum temp: -12 Maximum temp: -3 Average temp: -7
Total size: 1873
Total entries: 43800
Longest chain: 168
Shortest chain: 24
Empty buckets: 881
$ ./poll_lookup -i -t 13 -d 2013-01-01 pollution.csv
Minimum pm2.5: 7 Maximum pm2.5: 35 Average pm2.5: 16
Minimum temp: -12 Maximum temp: -3 Average temp: -7
Total size: 13
Total entries: 43824
Longest chain: 3552
Shortest chain: 3240
Empty buckets: 0
$ ./poll_lookup -i -t 13 -d 2013-01-01 -r 2013-02-02 pollution.csv
Minimum pm2.5: 7 Maximum pm2.5: 35 Average pm2.5: 16
Minimum temp: -12 Maximum temp: -3 Average temp: -7
Total size: 13
Total entries: 43800
Longest chain: 3552
Shortest chain: 3240
Empty buckets: 0
$ ./poll_lookup -i -t 1331 -d 2015-01-01 pollution.csv
Unable to find any data for the date 2015-1-1.
Total size: 1331
Total entries: 43824
Longest chain: 192
Shortest chain: 24
Empty buckets: 510
Program Implementation
Functions and Behaviors to Implement
node* node_lookup()
This has the same signature as the node_lookup() function in A5.
Arguments:
node* front → The current head of the linked list chain
int year → year
int month → month
int day → day
int hour → hour
Operation:
● Searches the linked list chain for a node that matches the year year, the month
month, the day day and hour hour.
● Returns the pointer to the node with matching data, otherwise, return NULL.
Simplifying node_lookup():
● The function node_lookup() takes 5 parameters. The first four parameters will be in
R0 to R3. The fifth parameter is stored by the caller just above your stackframe (fp). So
you can access the fifth parameter as [fp, NCOLS_OFFSET]. What will be the value
of NCOLS_OFFSET?
Stack Frame with some addresses for illustration purposes:
0x7fff_fff4
+4 5th parameter
node_lookup
stack frame
FP->
0x7fff_fff0
0 caller’s FP
0x7fff_ffec
-4 caller’s LR
0x7fff_ffe8
-8 callee saved registers
-12 callee saved registers
... local variables + parameter saved
local variables + parameter saved
SP->
0x7fff_ffxx
local variables + parameter saved
0x7fff_ffxx
● If you run out of registers for variables, you can declare local variables and store and
load their values from the stack as needed. Define a fixed offset from the frame pointer
with .equ to do this.
● Here is a sample struct to make you understand how structures are stored in memory.
The values in red indicate sample memory address.
struct pride_lands
{
char c;
int x;
};
struct pride_lands p[10];
2000 2001 2002 2003 2004 2005 2006 2007 2008
p[0].c unused unused unused p[0].x p[1].c
Each element of the struct is allocated 4 bytes of memory. However, as char takes 1
byte, 3 bytes are unused. However, int uses all 4 bytes. Notice where the next element
in the array starts. How is it related to the size of the struct?
Can you use the above example to answer the following questions?
a. Given node* front, how would you load front->year, front->month,
front->day and front->hour from memory?
b. How are they stored in memory relative to front?
c. How would you do front = front->next? What is the size of the structure?
● What will be the loop condition? What is the value of NULL?
void print_info()
This has the same signature as the print_info() function in A5.
Arguments:
node** table → pointer to hash table
unsigned long size → hash table size
Operation:
● Walk the hash table chain by chain.
● Output the following:
○ The size of the table (Table size)
○ The total number of nodes in the table (Total entries)
○ The length of longest and shortest non-empty chains (Longest chain, Shortest
chain)
○ The number of empty buckets in the table (Empty buckets)
● Prints all this information to stdout using the following format strings, in this order:
"Table size: %lu\n"
"Total entries: %lu\n"
"Longest chain: %lu\n"
"Shortest chain: %lu\n"
"Empty buckets: %lu\n"
Simplifying print_info():
● You have to iterate through the table for each entry, iterate through the linked list for that
entry. Given table and i, how would you find table[i] in ARM?
● How will you initialize the variables for minimum chain length and maximum chain
length?
● How would you call printf() in ARM to print to standard output?
● Use the same logic as you used in node_lookup() for iterating through a linked list.
Allowed ARM Instructions
You are only allowed to use the instructions provided in the ARM ISA Green Card. Failure to
comply will result in a score of 0 on the assignment.
Style Requirements
Points WILL be given for style, and teaching staff won't be able to provide assistance or
regrades unless code is readable. Please follow these Style Guidelines for ARM assembly.
Midpoint
This part of the assignment is due earlier than the full assignment, on
Wednesday 3/2 at 11:59 pm PST. There are no late submissions on
the Midpoint.
Complete the Gradescope assignment “A7: Midpoint”, an Online Assignment that is done
entirely through Gradescope. This assignment consists of a few quiz questions and a
free-response question where you will document the pseudocode or C code of both functions.
This is a planning document and does not need to reflect your final implementation, although
you are encouraged to keep it up to date. Answers in plain English will receive 0 points.
Discuss your implementations of the following functions: node_lookup and print_info.
Submission and Grading
Submitting
1. Submit your files to Gradescope under the assignment titled “A7: Pollution Lookup
Revisited”. As this is a group submission, you need to make only one submission per
group from any one of your gradescope accounts. After submitting, add your
teammate’s email id to your submission.

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COMP2013 IB9X60 INVP001 EMATM0051 COMP220 BLAW1002 E20 TCP8001 ECON61001 EART40005 ECONM1022 MATH 365 MATH 367 ELEC6218 COMP 5812M EDUC 5061M ELEC ENG 1101 equation MATH6174 ST334 C4 EC9570 A33648 EBUS603 ECON47815 stata WFMS0001 PEM102 INF6060 ionically ELECTRICAL MATH 375 MMW 12 MKTG860 ECON60401 ALY6010 SOST20131 Introduction COM3524 MME2 GGR305 JNB 538 EECS101 COMM5030 IEOR E4601 2B CSC336 EN2315 LAW 432 CSC263 MATH2001 OLET1143 CSCB63 SIT772 COMM1170 STAT 441 MS930 INFT3050 GLBH0030 Stat 120B MAST10007 MGEC61 Machine GGR 252H1S ECON7030 Financial Marketing MGMT30019 ECON5120 SDSC 8009 CSC165H1S DSCI 551 3081W ACM41000 ECA 5304 MATH 1064 ECSE444 DATA 604 COMP7105 MIE1615 ECON4004 ENV200H1S EC481 MKT 306 EC1B1 MATH08051 ALY6140 CS260C CSE30 MSIN0226 CS4103 CSC3064 AM16 COMP11212 CSE4101 PSTAT 174 Math 380W CNT 5106C STAT 310 FIN2028 CS5014 STAT 425 COMP 4102A ELEC2140 MANF9544 QRM 9 QRM 8 ECON 457 COMPSCI 4091 MATH 523 DNSC-4211 PEAS 6000 MSIN0180 COMP2119 A2A HT 2022 IB93F0 MAS316/414 ACCT2522 MSIN0181 ATMS 201 COMP3425 MATH7861 SOLA2060 MA 325 7CCEMCTH ECON 432 INFT2051 SOLA 2060 ECOS2002 Stats141XP BIOA02H3 S2022 MA4601 K5 COMP5329 EG 284 IB3A70 WECO1020 COMP3027 Energy ACS61011 MAST20026 STAT 533 MATA31 ENVS257 BEM2031 EC 486 COMP0172 CS3214 EECE5644 IB2B20 COSC2536 COSC1147 COMP6214 5CCM242A COMP0130 AMME2000 MTMG50: EG238 ACF6006 QBUS2810 COSC2391 ECON7560 MATH377 STA305 CS 486 COMP1117B EL648 ELEC3909 ECON 241 COMP 4901W BUSI4428 ENEN20002 ENGN4524 ELEC3115 CSC 413 PSYC 100B ECON1002 MATH256 ANSC20005 MTHS2008 MATH40082 COSC 2406 FIT3174 STA 238 CMT202 Differential Equations MTHM017 GARCH 101 MATH2069 CSC336S ACSC12 ETF2121 CEME 2001 DB B474F ARHT1001 EECS 3311 3220 STATS 786 CS 484 COMP20008 MATH4091 ECE 455 CSCI 204 BUS B200F BA 875 BU5562 COSC 1147 X11 GEOG 101 IMM250F CSE 584A MATH38172 LAB 4 ELEC5882M FINS5523 EE 430 COMP 465 6CCS3PRE 7CCSMNSE FINANCE ACMB02H3 ENGG2112 ELEC5616 SCM B371 CHEM3120 CS22 ECMT2130 MAST30011 ADSPBF706 CENG0013 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