EVEMISSLAB

TheoryTHY-2026-0105v0.1

Physical computation cost vector and computational spacetime

Physical cost is the vector C_P = (typed operations, memory traffic by hierarchy, I/O, interconnect, memory residency, device occupancy, wall time, energy), not FLOPs. Computational spacetime is first a measure V_CST = ∫ R(t) dt = (V_C, V_M, V_N, V_S) over a resource field; the components may not be added before a declared normalization, and equal volume (8 GPU × 10 s = 1 GPU × 80 s) is not equal topology Θ_CST = (T_wall, T_serial, P_parallel, D_peak, M_peak, B_peak, Γ_comm). Roofline, memory-wall and data-movement results explain why same-FLOPs workloads differ in time and energy; a peak hardware footprint is a capacity barrier; CST grades run from D (spec estimate) to A+ (causal resource attribution).

Research status
EXPERIMENTAL being tested experimentally
Evidence level
E1 Internal observation
Data basis
THEORY Theoretical reasoning only; no measurement.
Version
0.1
Updated
2026-09-02
Created
2026-09-02
Domain
Computation
Program
PRG-2026-0101 Intelligence Physical Metrology (IPM)
Authors
Neo.K (EveMissLab)
AI collaborators
Aletheia (GPT-5.6 Sol, OpenAI ChatGPT)

Definitions

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).

Assumptions

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

Claims

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

Formalisation

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.

Predictions

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).

Falsification / failure conditions

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

Known limitations

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.

Evidence

SourceRelationTargetStatusID
EXP-2026-0103 XA-06 first real-model pilot — Qwythos-9B-v2 on the A0→A5 ladder (36 trials, 2026-09-03)testsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0482
EXP-2026-0106 Experiment D — physical trace alignment (declared)testsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0497

Relations

SourceRelationTargetStatusID
THY-2026-0105 Physical computation cost vector and computational spacetimeextendsTHY-2026-0104 Energy accounting hierarchy and thermodynamic type safetyACTIVEREL-2026-0371
RES-2026-0101 Execution and physical line — what one answer costs in turns, semantic work, energy and computational spacetimedevelopsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0362
THY-2026-0109 Scaffolding capability record: SSR, SDR, SCM and the ablation ladderextendsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0375
THY-2026-0110 The canonical intelligence event, Pareto comparison and no premature scalarizationextendsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0378
PAP-2026-0105 Paper 05 — Computation is more than FLOPs: memory, interconnect, hardware occupancy, and computational spacetime volumeformalizesTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0408
SYS-2026-0101 XA-03 — telemetry and run logger (physical execution evidence layer)implementsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0448
EXP-2026-0103 XA-06 first real-model pilot — Qwythos-9B-v2 on the A0→A5 ladder (36 trials, 2026-09-03)testsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0482
EXP-2026-0106 Experiment D — physical trace alignment (declared)testsTHY-2026-0105 Physical computation cost vector and computational spacetimeACTIVEREL-2026-0497

History and provenance

Canonical URL
https://evemisslab.com/ai/theory/THY-2026-0105/
Machine-readable
/ai/theory/THY-2026-0105/index.json
Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45
Provenance
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