NIEK2-0062
① SA Source
- Source: 開啟完整 SA 文章
- Section:
SRAM and Memory Hierarchy - Line hint:
57
Context Before
SRAM and Memory Hierarchy
We have written about the role of SRAM in the memory hierarchy, but the quick recap is that SRAM is very fast (low latency and high bandwidth) but this comes at the expense of density and therefore cost.
Evidence
GPUs win for throughput and cost as we have shown
Context After
Source: SemiAnalysis
② Atomic Claim
如前述分析，GPUs 在吞吐量與成本上更具優勢。
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "COST",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/GPU",
"label": "GPUs"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [],
"value_text": "如前述分析，GPUs 在吞吐量與成本上更具優勢。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | GPUs | GPU |
⑤ Human Review
請在 Properties 逐項確認：
- 原文 → Atomic Claim 是否忠實
- Atomic Claim → Semantic Frame 是否忠實
- Canonical Entity mapping 是否正確
- Epistemic mode 是否保留原文語氣
- 最後選擇
review_action
Review state
Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。