RISC-V Design · All levels
Forwarding Network and Stall Control for Data Hazards: Reports and Metrics
Reports and Metrics for Forwarding Network and Stall Control for Data Hazards.
Reports and metrics
Reports and Metrics for Forwarding Network and Stall Control for Data Hazards is anchored on RAW hazard coverage percentage with zero incorrect-commit events and minimum load-use stall cycles per kilo-instruction.. Convert observations into mechanism-backed decisions with explicit ownership.
Before/after trend
diagram
BEFORE / AFTER TREND - Forwarding Network and Stall Control for Data Hazards
RAW hazard coverage percentage with zero incorrect-commit events and minimum load-use stall cycles per kilo-instruction.
^
| 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
diagram
ROOT CAUSE TREE - Forwarding Network and Stall Control for Data Hazards
RAW hazard coverage percentage with zero incorrect-commit events and minimum load-use stall cycles per kilo-instruction. 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 RAW hazard coverage percentage with zero incorrect-commit events and minimum load-use stall cycles per kilo-instruction. 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.