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per_layer_oi_cf/README.md

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-# Per-Layer OI/CF Roofline — Llama-3.1-8B on H100 (Section 4.4)
-
-Per-component operational intensity (OI) and capacity footprint (CF) roofline
-decomposition for a Llama-3.1-8B decoder layer on a single H100-SXM5-80GB
-(bf16, TP=1). Backs Section 4.4 "Layer-Level Roofline Decomposition" and
-Figure `per_layer_oi_cf_8b_h100.pdf`.
-
-## Files
-
-- `analytical/` — Per-component OI computed from model dimensions.
-  B=1 prefill (C=1, memory-limited) and B=80 prefill (C=80, compute-saturated).
-- `ncu/` — NCU v2024.3.2 kernel traces (`--set full`) on 8 decoder layers
-  (indices 1–8) at bs=1 prefill. Clean run, 52 us total GPU time across
-  8 unique kernel types. Reproduce with:
-  ```
-  CUDA_VISIBLE_DEVICES=0 ncu --set full --csv --profile-from-start no \
-    --target-processes all -o output \
-    python3 scripts/roofline/_ncu_target_simple.py
-  ```
-- `per_layer_oi_cf_8b_h100.pdf` — Two-panel figure: (a) per-component OI on
-  H100 roofline, (b) capacity footprint sweep C=1..80.
-- `per_layer_table.tex` — LaTeX table classifying each component as
-  compute-bound (OI > 295 FLOP/byte) or bandwidth-bound.
-
-## Key findings
-
-| Component | Wt (MB) | OI (C=1) | OI (C=80) | Bound |
-|-----------|---------|----------|-----------|-------|
-| GEMM projections (Q,K,V,O,Gate,Up,Down) | 436 | 315–441 | 803–2956 | COMPUTE |
-| RMSNorm (in/out), RoPE, SiLU, Gate×Up | — | 0–1 | 0–1 | BANDWIDTH |
-| Flash attention | — | 64 | 64 | BANDWIDTH |
-| **Layer total** | **436** | **330** | **878** | **COMPUTE** |
-
-NCU validation: at C=1, GEMM = 10.8% of GPU time, memory ops = 65%,
-confirming the layer is barely compute-bound (OI=330 vs ridge=295).
-
-System capacity-bound at 32K context: C ≥ 16 (KV cache + weights > 80 GB HBM).
-
-## Citation
-
-AgentPerfBench: A Benchmarking and Evaluation Suite for Inference Performance
-of Agentic LLMs. NeurIPS 2026.

per_layer_oi_cf/analytical/llama8b_analytical_prefill_B1.json

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-{
-  "B": 1,
-  "S": 512,
-  "phase": "prefill",
-  "d": 4096,
-  "h": 32,
-  "kv_h": 8,
-  "intermediate": 14336,
-  "head_dim": 128,
-  "q_len": 512,
-  "kv_len": 512,
-  "total_flops": 227707715584,
-  "total_bytes": 689963008,
-  "oi": 330.0,
-  "ridge_point": 295.0,
-  "overall_bound": "compute",
-  "components": [
-    {
-      "name": "rmsnorm_in",
-      "flops": 10485760,
-      "bytes": 8388608,
-      "oi": 1.2,
-      "bound": "memory"
-    },
-    {
-      "name": "q_proj",
-      "flops": 17179869184,
-      "bytes": 41943040,
-      "oi": 409.6,
-      "bound": "compute"
-    },
-    {
-      "name": "k_proj",
-      "flops": 4294967296,
-      "bytes": 13631488,
-      "oi": 315.1,
-      "bound": "compute"
-    },
-    {
-      "name": "v_proj",
-      "flops": 4294967296,
-      "bytes": 13631488,
-      "oi": 315.1,
-      "bound": "compute"
-    },
-    {
-      "name": "rope",
-      "flops": 16777216,
-      "bytes": 12582912,
-      "oi": 1.3,
-      "bound": "memory"
-    },
-    {
-      "name": "attention",
-      "flops": 4294967296,
-      "bytes": 67108864,
-      "oi": 64.0,
-      "bound": "memory"
-    },
-    {
-      "name": "o_proj",
-      "flops": 17179869184,
-      "bytes": 41943040,
-      "oi": 409.6,
-      "bound": "compute"
-    },
-    {
-      "name": "rmsnorm_post",
-      "flops": 10485760,
-      "bytes": 8388608,
-      "oi": 1.2,
-      "bound": "memory"
-    },
-    {
-      "name": "gate_proj",
-      "flops": 60129542144,
-      "bytes": 136314880,
-      "oi": 441.1,
-      "bound": "compute"
-    },
-    {
-      "name": "up_proj",
-      "flops": 60129542144,
-      "bytes": 136314880,
-      "oi": 441.1,
-      "bound": "compute"
-    },
-    {
-      "name": "silu",
-      "flops": 29360128,
-      "bytes": 29360128,
-      "oi": 1.0,
-      "bound": "memory"
-    },
-    {
-      "name": "gate_mul",
-      "flops": 7340032,
-      "bytes": 44040192,
-      "oi": 0.2,
-      "bound": "memory"
-    },
-    {
-      "name": "down_proj",
-      "flops": 60129542144,
-      "bytes": 136314880,
-      "oi": 441.1,
-      "bound": "compute"
-    }
-  ]
-}

per_layer_oi_cf/analytical/llama8b_analytical_prefill_B80.json

@@ -1,110 +0,0 @@
-{
-  "B": 80,
-  "S": 512,
-  "phase": "prefill",
-  "d": 4096,
-  "h": 32,
-  "kv_h": 8,
-  "intermediate": 14336,
-  "head_dim": 128,
-  "q_len": 512,
-  "kv_len": 512,
-  "total_flops": 18216617246720,
-  "total_bytes": 20736638976,
-  "oi": 878.5,
-  "ridge_point": 295.0,
-  "overall_bound": "compute",
-  "components": [
-    {
-      "name": "rmsnorm_in",
-      "flops": 838860800,
-      "bytes": 671088640,
-      "oi": 1.2,
-      "bound": "memory"
-    },
-    {
-      "name": "q_proj",
-      "flops": 1374389534720,
-      "bytes": 704643072,
-      "oi": 1950.5,
-      "bound": "compute"
-    },
-    {
-      "name": "k_proj",
-      "flops": 343597383680,
-      "bytes": 427819008,
-      "oi": 803.1,
-      "bound": "compute"
-    },
-    {
-      "name": "v_proj",
-      "flops": 343597383680,
-      "bytes": 427819008,
-      "oi": 803.1,
-      "bound": "compute"
-    },
-    {
-      "name": "rope",
-      "flops": 1342177280,
-      "bytes": 1006632960,
-      "oi": 1.3,
-      "bound": "memory"
-    },
-    {
-      "name": "attention",
-      "flops": 343597383680,
-      "bytes": 5368709120,
-      "oi": 64.0,
-      "bound": "memory"
-    },
-    {
-      "name": "o_proj",
-      "flops": 1374389534720,
-      "bytes": 704643072,
-      "oi": 1950.5,
-      "bound": "compute"
-    },
-    {
-      "name": "rmsnorm_post",
-      "flops": 838860800,
-      "bytes": 671088640,
-      "oi": 1.2,
-      "bound": "memory"
-    },
-    {
-      "name": "gate_proj",
-      "flops": 4810363371520,
-      "bytes": 1627389952,
-      "oi": 2955.9,
-      "bound": "compute"
-    },
-    {
-      "name": "up_proj",
-      "flops": 4810363371520,
-      "bytes": 1627389952,
-      "oi": 2955.9,
-      "bound": "compute"
-    },
-    {
-      "name": "silu",
-      "flops": 2348810240,
-      "bytes": 2348810240,
-      "oi": 1.0,
-      "bound": "memory"
-    },
-    {
-      "name": "gate_mul",
-      "flops": 587202560,
-      "bytes": 3523215360,
-      "oi": 0.2,
-      "bound": "memory"
-    },
-    {
-      "name": "down_proj",
-      "flops": 4810363371520,
-      "bytes": 1627389952,
-      "oi": 2955.9,
-      "bound": "compute"
-    }
-  ]
-}

per_layer_oi_cf/ncu/Llama-3.1-8B_prefill_bs1_8layers.ncu-rep

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-size 72020417

per_layer_oi_cf/ncu/Llama-3.1-8B_prefill_bs1_v2.ncu-rep

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per_layer_oi_cf/per_layer_table.tex

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-\begin{table}[t]
-\centering
-\caption{Per-component operational intensity for a Llama-3.1-8B decoder layer on H100 (bf16, TP=1). Ridge = 295 FLOP/byte. C = compute-bound, BW = memory-bandwidth-bound. Capacity-bound arises at 8K+ contexts when KV cache exceeds HBM.}
-\label{tab:per-component-oi}
-\small
-\begin{tabular}{lrrrrr}
-\toprule
-Component & Wt (MB) & OI (C=1) & OI (C=80) & Bound (C=1) & Bound (C=80) \\
-\midrule
-RMS & \textemdash & 1 & 1 & BW & BW \\
-Q & 34 & 410 & 1950 & C & C \\
-K & 8 & 315 & 803 & C & C \\
-V & 8 & 315 & 803 & C & C \\
-RoPE & \textemdash & 1 & 1 & BW & BW \\
-Attn & \textemdash & 64 & 64 & BW & BW \\
-O & 34 & 410 & 1950 & C & C \\
-RMS & \textemdash & 1 & 1 & BW & BW \\
-Gate & 117 & 441 & 2956 & C & C \\
-Up & 117 & 441 & 2956 & C & C \\
-SiLU & \textemdash & 1 & 1 & BW & BW \\
-Gate×Up & \textemdash & 0 & 0 & BW & BW \\
-Down & 117 & 441 & 2956 & C & C \\
-\midrule
-\textbf{Layer total} & 436 & 330 & 878 & C & C \\
-\bottomrule
-\end{tabular}
-\vspace{3pt}
-{\footnotesize KV capacity thresholds: 8K tok $\rightarrow$ C$\ge$57; 32K tok $\rightarrow$ C$\ge$14; 128K tok $\rightarrow$ C$\ge$3.}
-\end{table}