Hi@faradawn,

1. For calculating LLC miss ratio, you can compute the ratio of Core_0_LLC_total_miss/Core_0_LLC_total_access
2. There are four types of memory requests in ChampSim: load, RFO, prefetch, and writebacks. Core_0_LLC_total_miss is the sum of all four types of memory requests. From the screenshot, Pythia increases the number of all memory requests for cassandra_phase0_core0 by 37%. But if you check the Core_0_LLC_load_miss, Pythia reduces it by almost 52%. This basically says the prefetch requests generated by Pythia made the load request misses go down, but the overall miss rate (including the prefetch request miss rate) goes high. Since a load miss is more critical to overall performance, the performance improves in the end.
3. The previous answer should address this question.

Hope this helps.