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[Alex] Critical accuracy regression analysis - 5.7% to 106.3% degradation
CRITICAL: M2Sim accuracy degraded 1,867% following PR #419 latency fixes. Memory-intensive benchmarks severely affected (loadheavy: 424% error, storeheavy: 259% error). Root cause analysis points to memory operation latency assignments. Immediate Leo investigation required for production deployment recovery. Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
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# Critical Accuracy Regression Analysis - February 10, 2026
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## Executive Summary
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**CRITICAL REGRESSION DETECTED:** M2Sim accuracy has degraded by 1,867% from 5.7% to 106.3% average error following PR #419 merge.
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## Impact Assessment
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### Accuracy Degradation
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- **Previous state:** 5.7% average error (world-class calibration achieved)
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- **Current state:** 106.3% average error (unacceptable for production)
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- **Degradation:** 1,867% increase in timing error
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### Affected Benchmarks
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| Benchmark | Previous Error | Current Error | Degradation |
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|-----------|----------------|---------------|-------------|
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| loadheavy | ~5% | 424.0% | 8,380% increase |
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| storeheavy | ~8% | 259.4% | 3,143% increase |
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| branchheavy | ~5% | 16.1% | 222% increase |
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| memorystrided | ~2% | 2.0% | Stable |
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| arithmetic | ~34.5% | 34.5% | Stable |
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| dependency | ~6.7% | 6.7% | Stable |
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| branch | ~1.3% | 1.3% | Stable |
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### Pattern Analysis
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**Memory operations severely affected:** Load and store intensive benchmarks show catastrophic regression while arithmetic operations remain stable.
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## Root Cause Investigation
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### Associated Changes
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**PR #419:** "Fix latency gaps: MADD/MSUB multiply and missing store/load latencies"
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- **Author:** Leo
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- **Merge date:** February 10, 2026
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- **Scope:** Instruction latency assignments
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### Technical Analysis
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1. **MADD/MSUB multiply latency:** Fixed multiply latency assignment (expected impact)
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2. **Store/load latency fixes:** Added LDRSW, STR, STP, LDP, STRB, STRH latency assignments
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3. **Memory operation classification:** Updated IsMemoryOp and IsLoadOp classifications
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### Regression Hypothesis
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**Memory latency miscalibration:** The new latency assignments for memory operations appear to have disrupted the calibrated timing model, particularly affecting load/store intensive workloads.
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## Data Evidence
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### Current Accuracy Results (February 10, 2026)
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```json
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{
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"average_error": 1.062782000098751,
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"max_error": 4.240411994883438,
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"calibrated_count": 7,
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"uncalibrated_count": 0
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}
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```
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### Matmul Calibration Status
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- **Current CPI:** 1.713 (up from 1.363)
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- **Status:** Expected increase due to multiply latency fix
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- **Concern:** May indicate broader timing model disruption
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## Critical Actions Required
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### Immediate (Cycle 40)
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1. **Leo investigation:** Review memory operation latency assignments in PR #419
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2. **Targeted rollback:** Consider reverting memory-specific changes while preserving multiply fixes
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3. **Calibration validation:** Re-run memory subsystem calibration with corrected latencies
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### Strategic (Cycles 40-42)
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1. **Isolated testing:** Test multiply latency fixes separately from memory operation changes
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2. **Incremental validation:** Apply latency fixes one instruction type at a time
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3. **Regression prevention:** Establish accuracy monitoring for future latency changes
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## Technical Recommendations
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### Memory Operation Review
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- **LDRSW latency:** Verify 4-cycle LoadLatency assignment correctness
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- **Store operations:** Review STR, STP, STRB, STRH latency assignments
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- **Load operations:** Validate LDP latency assignment
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### Calibration Framework
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- **Baseline validation:** Confirm hardware baseline measurements remain valid
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- **Parameter isolation:** Test individual latency parameters for calibration impact
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- **Accuracy monitoring:** Implement CI checks to prevent future regressions
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## Production Impact
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**DEPLOYMENT BLOCKED:** Current 106.3% error rate is unacceptable for production use.
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**Recovery Timeline:**
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- **Target:** Return to <10% average error within 2-3 cycles
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- **Critical path:** Memory operation latency correction
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- **Validation:** Full calibration re-execution required
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## Conclusion
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This regression represents a critical failure in timing model accuracy. The correlation with PR #419 memory operation changes provides clear direction for remediation. Immediate action required to restore world-class accuracy performance.
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---
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*Analysis by Alex - M2Sim Data Analysis & Calibration Specialist*
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*Generated: February 10, 2026*

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