Skip to content

Study on several MIPS-architecture pipeline implementations to find the best value for cost ratio

License

Notifications You must be signed in to change notification settings

john-fotis/MIPS-Pipeline-Analysis

Repository files navigation

MIPS Pipeline Analysis

Description:

This is the first assignment for my Computer Architecture Course during my B.Sc in Informatics and Telecommunications. The purpose of this project is to study the performance of a 32-bit MIPS processor with several different setups and choose the implementation that is the best value for the cost.

Developed with:

Detailed Description:

Develop a MIPS program that calculates the GCD and LCM of three positive integers. This process will be applied in an array of 198 random numbers [1,99] which will be considered as consecutive pairs of 3. The results of each set must be then stored in 2 appropriate sized arrays. The array will be initialized in the program's memory and its content is not to be read or printed in the console, since we want to compare only the CPU times needed for each implementation. Find out which implementation brings the best value for the cost by testing your code.

Constraints:

Parameter Extra Cost Clock overhead
Ignore Data hazards +0% +0%
Detect Data hazards and stall +2% +0%
Detect Data hazards and forward +5% +3%
Ignore Control hazards and use Delay Slot +0% +0%
Detect Control hazards and stall +2% +0%
Use 1-bit Branch Predictor with 6-bit BHT +7% +1%
Use 2-bit Branch Predictor with 6-bit BHT +8% +2%
Use Branch resolution in ID stage instead of EX +1% +0%

Results:

Let the base chip include at least the Data and the Control Hazard Unit at their simplest form to be considered a viable implementation. Let C be the chip cost and T the period of its clock. With these assumptions we conclude to the following:

CPU 0 CPU 1 CPU 2 CPU 3 CPU 4 CPU 5 CPU 6 CPU 7 CPU 8
CPU cost 104C 105C 108C 103C 110C 111C 106C 113C 114C
CPU clock 1T 1T 1,03T 1T 1,01T 1,02T 1,03T 1,04T 1,05T
Instructions ~13.400 ~13.400 ~13.400 ~13.400 ~13.400 ~13.400 ~16.300 ~13.400 ~13.400
Total Cycles ~19.400 ~18.500 ~16.300 ~18.500 ~16.850 ~16.650 ~16.300 ~14.200 ~14.000
CPI ~1,44869 ~1,37973 ~1,21658 ~1,1341 ~1,25711 ~1,24240 1 ~1,05955 ~1,04485
Total Time ~19.400T ~18.500T ~16.800Τ ~18.500T ~17.000T ~16.985T ~16.795T ~14.770T ~14.700T
Value for Money 4,953 5,151 5,514 5,251 5,343 5,305 5,618 5,993 5,967

Best Implementation: CPU 7

  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX

Tested Implementation Details:

  • CPU 0
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 1
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 2
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 3
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 4
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 5
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 6
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 7
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX
  • CPU 8
  • Ignore Data hazards
  • Detect Data hazards and stall
  • Detect Data hazards and forward
  • Ignore Control hazards and use Delay Slot
  • Detect Control hazards and stall
  • Use 1-bit Branch Predictor with 6-bit BHT
  • Use 2-bit Branch Predictor with 6-bit BHT
  • Use Branch resolution in ID stage instead of EX

Comments:

Although CPU 8 won in terms of speed and cycle-efficiency, it turned out that CPU7 has the best value ratio overall, even by a slight margin. You can see the complete set of tests we ran in ImplementationStatistics.xlsx. The results came out from these Datasets. You can try them out by simply pasting theme in $arr1 of ca-II-handout-1.s or generate your own sets.

Contributors:

katerinagiann

License:

This project is licensed under the MIT License

Releases

No releases published

Packages

No packages published