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COMP3211/9211 Computer Architecture Assignment

创建日期：2024-05-23 17:43:35

所属分类：计算机computer science

标签： COMP3211

COMP3211/9211 Computer Architecture Assignment

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COMP3211/9211 Computer Architecture Assignment

Application Specific Processor for Real-Time Pattern Search
This assignment is a design project to be completed by your lab group. It is due in Week
10 (see detailed information provided in this document).
Project Description
Pattern searching is a typical problem in many application areas. This project is to
design a processor system for searching patterns in an input string stream and output
the number of occurrences of each pattern that has been found so far, as outlined in
Figure 1 (a). An example of searching one pattern “ab” is illustrated in Figure 1(b). Each
time a matched pattern is found, the occurrence count N is incremented by 1. Note: the
time that is required for finding a matched pattern is not shown in the illustration.
Processor System
… bbaafebadcba
N
clk
a b c d a b e f a a b b
clk
S
N
time
0
1
2
3
( a )
( b )
S
Figure 1
For this project, we have the following assumptions:
• A pattern is made of alphabetical letters and numerical digits. The pattern size
can be up to 16 characters. The pattern is not case sensitive and symbol ‘?’ can
be used in the pattern to present any letter. For example, a?8b represent any 4-
character patterns that starts with letter ‘a’ and ends with “8b”. The processor can
search up to 8 patterns in the input string concurrently.
• Overlapped patterns are counted separately. For example, string “ababacef” is
regarded to contain two “aba” patterns.
• Both input string and patterns are initially stored in two separate files. To simulate
the feature of real-time processing, characters in the input string file are
sequentially fetched/read by the testbench and stored in a special I/O register
that can be accessed by the processor.
2
• The I/O register is small and can only hold 4 characters. To prevent overrun error
(where characters saved to the I/O register are overwritten by the new coming
characters before they are processed by the processor), the speed of input
stream should match the processing speed of the processor.
• The I/O register can also be used to load all patterns into memory before the
real-time string search starts. The size of each pattern should be determined by
the processor based on the pattern provided.
• During execution, the length of the input string processed so far and the
occurrence count of each pattern are kept in a table. The table is stored in the
memory and updated in real time with the incoming stream.
• The memory used in the system is small and has the same speed of the
processor.
For information that is not provided here but you think you need to consider in your
design, you can make reasonable assumptions.
Detailed Requirements
For this assignment, you need to
• design an instruction set that is easy to implement and effective so that the
processor can be programed for the functions specified above,
• write machine code for the real-time pattern search,
• build a pipelined processor model for your instruction set (in VHDL or Verilog),
• create a test testbench, input data files and testing strategies to test your
design for varied cases, for example,
o patterns with wildcard, multiple patterns of different sizes,
o input string containing overlapped patterns,
o cases that can demonstrate the unique features of your design.
• simulate and verify your design, and
• analyze the performance and cost of your design.
Guide to Project Development
Each project group is required to make a detailed plan that may include:
• tasks that need to be performed in order to complete this assignment,
• a schedule of the tasks,
3
• the role of each member for the tasks,
• a test method for each task,
• a project management strategy to ensure that the design project is carried out
smoothly and completed on time with a quality as good as possible.
Assessments (total 100 marks):
The assessment for each group consists of
• group presentation (30%)
o assessed by the peers in your TLB class in Week 10. Each group will be
given 25 mins.
o A form will be available for the peer assessment.
• lab demonstration (50%)
o assessed by tutor in your TLB class in Week 10
• report (20%)
o Give submission of code and report due on Monday, Week 11 (April 24)
▪ zip your Vivado project and the project report. Each group only
needs to submit one copy. The submission system will be set up
on the Assignment page of the course website in Week 10.
o Note: Report is a written form of the project design. It should be extensive
in content, effective in use of figures and tables, and concise and succinct
in description.
Each member needs to submit a form about the contribution of all the members
(including themselves) in the group before Friday Week 11. On submission of this form,
make sure the total contribution of all the members adds up to 100%.
The calculation of your individual marks of the assignment is based on two components:
the mark of whole group (G) and your relative contribution (C). It is calculated as G*C
but capped by 100, as demonstrated in the following two examples:
• For a group of four members, if everyone contributes equally and the group has a
mark is 90, each member’s mark will be max{90*(100%/4)/(100%/4), 100}=90.
• For a group of four members with a group mark of 70, if individual contributions
are 10%, 20%, 20%, and 50%, respectively, the one with the highest contribution
will receive a mark of max{70*50%/(100%/4), 100}=100.

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CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A PHIL2617 PHYS3116 MIE250 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