Final answer:
To estimate the CPI metric for each cache design, calculate the average memory access time (AMAT) for each alternative. Alternative 2 provides better performance with a lower CPI.
Step-by-step explanation:
To estimate the CPI metric for each cache design, we need to calculate the average memory access time (AMAT) for each alternative. For Alternative 1, the AMAT can be calculated as: (Hit Rate * Hit Access Time) + (Miss Rate * Miss Penalty). Assuming the miss penalty is 150 cycles and the miss rate is (1 - hit rate), the AMAT for Alternative 1 would be (0.94 * 1) + (0.06 * 150) = 9.24 cycles.
For Alternative 2, the AMAT can be calculated as: (Hit Rate * Hit Access Time) + (Miss Rate * Miss Penalty). Assuming the miss penalty is 150 cycles and the miss rate is (1 - hit rate), the AMAT for Alternative 2 would be (0.98 * 2) + (0.02 * 151) = 4.98 cycles.
Now, to estimate the CPI metric for each design, we can use the formula: CPI = Baseline CPI + (Percentage of Memory Instructions * Memory CPI), where Memory CPI = AMAT. For Alternative 1, the CPI would be 2 + (0.5 * 9.24) = 6.62. For Alternative 2, the CPI would be 2 + (0.5 * 4.98) = 4.99.
Therefore, Alternative 2 provides better performance as it has a lower CPI, indicating faster execution on average.
The calculations reveal that Alternative 1 has a CPI of 6.97, while Alternative 2 has a CPI of 4.48. Therefore, Alternative 2 provides better performance with a lower CPI.
The student is asking about the impact of cache designs on the cycles per instruction (CPI) of a pipelined processor. We have two D-cache alternatives with different hit rates and access times. We are tasked to calculate the average CPI for each and determine which design provides better performance.
Alternative 1: Small D-cache with 94% hit rate and 1 cycle hit access time.
Alternative 2: Large D-cache with 98% hit rate and 2 cycles hit access time.
Calculations:
For Alternative 1:
CPI = Baseline CPI + (Percentage of memory instructions * (Miss rate * Miss penalty + Hit rate * Hit time))
CPI = 2 + (0.5 * ((0.06 * 150) + (0.94 * 1)))
CPI = 2 + (0.5 * (9 + 0.94))
CPI = 2 + (0.5 * 9.94)
CPI = 2 + 4.97
CPI = 6.97
For Alternative 2:
CPI = Baseline CPI + (Percentage of memory instructions * (Miss rate * Miss penalty)) + (Hit rate * Hit time)
CPI = 2 + (0.5 * (0.02 * 150)) + (0.98 * 1)
CPI = 2 + (0.5 * 3) + 0.98
CPI = 2 + 1.5 + 0.98
CPI = 4.48
Comparing both, Alternative 2 has a lower CPI, indicating better performance.