cxlssd-results / METRICS_BACKLOG.md
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# Paper Metrics Backlog(待討論)
以下為 paper 寫作可能需要補的 metrics,**尚未排入執行**。等當前 5 agents(#42/#43/#46/#47/#48)回來後再一起討論優先順序。
## 1. Cache 替換算法 sweep
- **Range**: LRU vs LFU vs CLOCK vs S3FIFO vs FIFO
- **Scope**: E+L0 獨有的 L0 部分(host DRAM 16MB)
- **Why**: 目前固定 LFU;reviewer 可能問「換成 LRU 就贏不了?」
- **Tool**: race_trace_v3 有 `replacement` 參數支援多種(1=LIFO, 2=FIFO, 3=S3FIFO, 4=CLOCK)+ L0 是 LFU
- **Expected runs**: 5 algo × 5 run = 25 runs per dataset × 5 datasets = 125 runs
## 2. Replication ratio 詳細 sweep
- **Range**: 0% / 5% / 10% / 20% / 80%(paper AE exp1 的 rep_ratios)
- **Scope**: 每個 dataset 的 MaxEmbed 5x variance
- **Note**: Task #47(exp1 matrix)已涵蓋(5 rep × 8 cache × 5 dataset = 200 runs),但這條獨立跑可 isolate rep ratio 效應
- **Expected runs**: 5 rep × 5 run = 25 runs per dataset × 5 datasets = 125 runs
## 3. Drift 跨 dataset
- **Current**: CriteoTB d10-d20 (11 天 × 2 modes allmem/el0)
- **Extend to**: Avazu drift (已有 `traces/avazu/avazu_drift/`)、Taobao drift (已有 `traces/taobao/taobao_drift/`)
- **Why**: 證明 temporal drift 非 Criteo 獨有
- **Expected runs**:
- Avazu: 3 eval windows (day4-6, 7-8, 9-10) × 2 methods = 6 runs
- Taobao: 2 eval windows (day4-6, 7-9) × 2 methods = 4 runs
- = 10 runs
## 4. Latency distribution (p50 / p99 / p999)
- **Current**: 只有 mean per 5x variance
- **Extend**: 從 per-batch CSV 算 p50 / p99 / p999 / p9999
- **Why**: mean 隱藏 tail,reviewer 會問 tail behavior
- **Tool**: 直接分析現有 `batch_latencies.csv`(race_trace_v3 per-batch 輸出)
- **No new run needed** — 後處理現有資料
- **Expected runs**: 0(純分析)
---
## 現在 running
| # | Task | Agent ID |
|---|------|----------|
| #46 | Alibaba-iFashion POG→TSV converter | a6218ea79decef012 |
| #42 | Avazu paper-scale processing | a55b66a42443b0cfe |
| #43 | CriteoTB 22 days processing | a006ae63043d9cccf |
| #48 | Thread sweep (-n) | a6097bcc3615f147d |
| #47 | exp1 matrix (5×5×8=200 runs) | 未啟動,等 dataset 到位 |
## 討論 checkpoint
等上述 4 agents 都回來,我們再一起看:
1. 每個 backlog metric 的 priority
2. 能不能平行跑
3. 要不要 FEMU multi-config(切 NAND / P4510 / Optane 的 cache algo sweep)