| # Copyright (c) 2022 Jarvis Jia, Jing Qu, Matt Sinclair, & Mingyuan Xiang |
| # All Rights Reserved. |
| # |
| # Redistribution and use in source and binary forms, with or without |
| # modification, are permitted provided that the following conditions are |
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| # notice, this list of conditions and the following disclaimer; |
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| |
| # This test is targeting loads. |
| # Access pattern: A, C, E, G, I, K, M, O, A, C, E, G, A, I, C |
| # Each letter represents a 64-byte address range. |
| |
| # The [] indicate two different sets, and each set has four ways. |
| # [set0way0, set0way1, set0way2, set0way3], |
| # [set1way0, set1way1, set1way2, set1way3], |
| # If you have a 512B cache with 4-way associativity, |
| # and each cache line is 64B, with LIP replacement policy, |
| # you will observe: m,m,m,m,m,m,m,m,m,h,h,h,h,m,m |
| # where 'h' means hit and 'm' means miss. |
| |
| # Explanation of this result: |
| # A,C,E,G are misses, now the cache stores ([A, C, E, G],[ , , ,]) |
| # I searches for a victim and selects A. |
| # Now the cache stores ([I, C, E, G],[ , , ,]) |
| # K searches for a victim and selects I. |
| # Now the cache stores ([K, C, E, G],[ , , ,]) |
| # M searches for a victim and selects K. |
| # Now the cache stores ([M, C, E, G],[ , , ,]) |
| # O searches for a victim and selects M. |
| # Now the cache stores ([O, C, E, G],[ , , ,]) |
| # A searches for a victim and selects O. |
| # Now the cache stores ([A, C, E, G],[ , , ,]) |
| # C hits --> C now MRU |
| # E hits --> E now MRU |
| # G hits --> G now MRU |
| # A hits --> A now MRU |
| # I searches for a victim and selects C since A is MRU. |
| # Now the cache stores ([A, I, E, G],[ , , ,]). |
| # C misses |
| |
| from m5.objects.ReplacementPolicies import LIPRP as rp |
| |
| |
| def python_generator(generator): |
| yield generator.createLinear(60000, 0, 63, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 128, 191, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 256, 319, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 384, 447, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 512, 575, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 640, 703, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 768, 831, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 896, 959, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 0, 63, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 128, 191, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 256, 319, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 384, 447, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 0, 63, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 512, 575, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(60000, 128, 191, 64, 30000, 30000, 100, 0) |
| yield generator.createLinear(30000, 0, 0, 0, 30000, 30000, 100, 0) |
| |
| yield generator.createExit(0) |