RISC-V Design · All levels
Page Fault Handling, Trap Flow, and Recovery Paths: Reports and Metrics
Reports and Metrics for Page Fault Handling, Trap Flow, and Recovery Paths.
Reports and metrics
Reports and Metrics for Page Fault Handling, Trap Flow, and Recovery Paths is anchored on Fault service latency (median/P99), restart success rate, and throughput impact during demand paging and copy-on-write stress.. Convert observations into mechanism-backed decisions with explicit ownership.
Before/after trend
BEFORE / AFTER TREND - Page Fault Handling, Trap Flow, and Recovery Paths
Fault service latency (median/P99), restart success rate, and throughput impact during demand paging and copy-on-write stress.
^
| o target band
| o after fix + reruns
| o
| o baseline (failing)
+--------------------------------------------------> iteration
capture issue isolate mechanism close + monitor
Use this view to confirm the gain is causal and stable across seeds.Root-cause tree
ROOT CAUSE TREE - Page Fault Handling, Trap Flow, and Recovery Paths
Fault service latency (median/P99), restart success rate, and throughput impact during demand paging and copy-on-write stress. regressed
|
reproducible on fixed seed?
/ \
no yes
| |
env/tool drift first failing domain?
/ | \
decode execute memory/MMU
| | |
control map bypass/FU TLB/walk/perm
|
privilege/CSR side effects checked?
Stop at first confirmed mechanism, then assign explicit owner + fix proof.Track Fault service latency (median/P99), restart success rate, and throughput impact during demand paging and copy-on-write stress. on representative workloads, not just microbenchmarks.
Include build/runtime/privilege metadata in report headers.
Pair performance movement with correctness and reliability checks.
Report tail stability, not only mean uplift.