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理論THY-2026-0105v0.1

物理計算成本向量與計算時空

物理成本是向量 C_P =(分型的運算、按層級的記憶體流量、I/O、互連、記憶體駐留、裝置占用、wall time、能量),不是 FLOPs。計算時空首先是資源場的測度 V_CST = ∫ R(t) dt =(V_C、V_M、V_N、V_S);未宣告正規化前各分量不可相加,體積相等(8 GPU × 10 s = 1 GPU × 80 s)不等於拓撲 Θ_CST =(T_wall、T_serial、P_parallel、D_peak、M_peak、B_peak、Γ_comm)相等。Roofline、memory wall 與資料搬移的結果解釋了為何相同 FLOPs 的工作在時間與能量上不同;峰值硬體占用是容量門檻;CST 等級從 D(規格推估)到 A+(因果資源歸因)。

研究狀態
EXPERIMENTAL 正在進行實驗驗證
證據等級
E1 內部觀察
資料基礎
THEORY 純理論推理,沒有量測。
版本
0.1
更新
2026-09-02
建立
2026-09-02
領域
Computation
計畫
PRG-2026-0101 智能的物理計量(IPM)
作者
Neo.K (EveMissLab)
AI 協作
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

定義

definitions
  • C_P = (O, B_M, B_I, B_N, M_R, D, T, E); O typed by precision; nominal vs executed vs useful operations.
  • V_M = ∫ M_resident dt (byte·s), V_C = ∫ D(t) dt (device·s); MemoryTraffic ≠ MemoryResidency.
  • Normalized scalar V*_CST(Reference, Weights, Boundary); topology Θ_CST; peak footprint H_peak.
  • Measurement confidence bundle G_M = (Grade_μ, Grade_E, Grade_CST); P_compute = (C_P, V_CST, Θ_CST, H_peak, E, Boundary_P, G_M).

前提

assumptions
  • Attainable performance is bounded by min(P_peak, BW · arithmetic intensity) (Roofline).

主張

claims
  • FLOPs ≠ PhysicalComputationalCost; SameFLOPs ≠ SameLatency ≠ SameEnergy; SameDeviceTime ≠ SameEnergy.
  • SameCSTVolume ≠ SameCSTTopology; TotalResource ≠ PeakCapacityRequirement; MoreDevices ⇏ LowerLatency.
  • ScalarCST ⇒ DeclaredNormalization; CSTComparison ⇒ SameBoundaryOrExplicitConversion; LowUtilization ≠ BadSystem.

形式化

formalization
  • V_CST = ∫ R(t) dt with R = (r_C, r_M, r_N, r_S); V*_CST = ∫ Σ_j w_j r_j(t)/C_ref,j dt.
  • Vector efficiency η_Q/CST = (Q/V_C, Q/V_M, Q/V_N, Q/V_S); Pareto dominance A ≻_P B.

預測

predictions
  • Controlling FLOPs will leave large independent variation in T, E, B_M, B_N and V_M across memory patterns and topologies (Falsifiable Claim 2).

證偽/失敗條件

falsification_conditions
  • If, FLOPs held fixed, time, energy, memory traffic and residency do not vary substantially across workloads, a single FLOPs cost model suffices.

已知限制

known_limitations
  • The pilot recorded wall time, device energy, peak VRAM, memory residency and utilization integrals for one GPU (CST-B); interconnect and memory traffic were not measured.

證據

來源關係目標狀態ID
EXP-2026-0103 XA-06 第一次真實模型 pilot——Qwythos-9B-v2 走 A0→A5 階梯(36 試驗,2026-09-03)testsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0482
EXP-2026-0106 Experiment D——物理軌跡對齊(已宣告)testsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0497

關係

來源關係目標狀態ID
THY-2026-0105 物理計算成本向量與計算時空extendsTHY-2026-0104 能量帳本層級與熱力學型別安全ACTIVEREL-2026-0371
RES-2026-0101 執行與物理線——一個答案在回合、語意工作、能量與計算時空上的代價developsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0362
THY-2026-0109 鷹架能力紀錄:SSR、SDR、SCM 與消融階梯extendsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0375
THY-2026-0110 canonical intelligence event、Pareto 比較與不過早純量化extendsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0378
PAP-2026-0105 計算不是只有 FLOPs:記憶體、互連、硬體占用與計算時空體積formalizesTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0408
SYS-2026-0101 XA-03——遙測與執行記錄器(物理執行證據層)implementsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0448
EXP-2026-0103 XA-06 第一次真實模型 pilot——Qwythos-9B-v2 走 A0→A5 階梯(36 試驗,2026-09-03)testsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0482
EXP-2026-0106 Experiment D——物理軌跡對齊(已宣告)testsTHY-2026-0105 物理計算成本向量與計算時空ACTIVEREL-2026-0497

歷史與來源歷程

Canonical URL
https://evemisslab.com/ai/theory/THY-2026-0105/
機器可讀
/ai/theory/THY-2026-0105/index.json
快照
AI-SNAPSHOT-v0.1-fe85b9694a45
來源歷程
source
EveMissLab research collection: Intelligence Physical Metrology (真本體論13)
extracted_by
Splice (Claude Code), reading the canonical UTF-8 sources and each package's own reports
extracted_at
2026-09-11
generator
tools/extract_all.py
claim_boundary
status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports