Update Log

Bundle Update Log

2026-07-09

• Ingest: Dally & Towles 互连网络 Day 13–14 → raw/articles/interconn-study-21d-day-13.md、day-14.md（源：openclawdata/.../interconn-study-21d/day-13..14.md）。
• Creation: Deadlock-Free Routing CDG and Dally Theorem, Duato Escape VC Deadlock-Free Routing.
• Update: Adaptive Routing for NoC, Deterministic Routing and DOR, Interconnection Network Design Space, Mesh and Torus Topology, NoC Router 微架构, Switching Principles, Cerebras WSE — CDG/Dally、逃逸 VC、协议层死锁、Mesh vs Torus 交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 25–26 → raw/articles/arch-study-30d-day-25.md、day-26.md（源：openclawdata/.../arch-study-30d/day-25..26.md）。
• Creation: DNN Accelerator Systolic Dataflow, WSE Quantitative Architecture Analysis.
• Update: GPU SIMT Architecture, DSA Processor Design Tradeoffs, Eyeriss Accelerator, Plasticine Accelerator, Cerebras WSE, GEMM vs GEMV in LLM Inference, WaferLLM System — 脉动/WS·OS·RS、Amdahl/Roofline/Mesh 量化、SLA vs TPU 交叉引用。

2026-07-07

• Creation: GEMM vs GEMV in LLM Inference — 算子基础概念页：算术强度公式、Roofline、H100 decode <1% 峰值 FLOPS、prefill/decode 对应、编译器优化空间。

• Update: Prefill-Decode Resource Divergence, WaferLLM System, FlashDecoding++, WaferLLM Compiler Research Gaps — 反向链接到新 GEMM vs GEMV 页。

• Ingest: 4 篇 paper PDF → raw/papers/LoopLynx_*, SambaNova_SN40L_*, LLM_Inference_Acceleration_*, AI_Accelerators_LLM_*（arXiv: 2504.09561, 2405.07518, 2410.04466, 2506.00008）。

• Creation: LoopLynx, SambaNova SN40L, LLM Inference Hardware Survey, AI Accelerators Cross-Architecture, vLLM, WaferLLM Compiler Research Gaps。

• Update: WaferLLM System — 补 §7.5/§8 作者承认的 3 个未解瓶颈，Cerebras WSE — 新增 compiler research gaps 链接。

• Validation: validate_bundle.py 通过（4 个新 raw + 1 个新 analyses + 4 个新 paper 摘要 + 1 个新 concept）；11 个 index 自动重生成。

• Ingest: WaferLLM PDF → raw/papers/WaferLLM_LLM_Inference_at_Wafer_Scale_2025.pdf（Zotero: arXiv:2502.04563v3）。

• Creation: WaferLLM System, waferllm-wafer-scale-llm-inference.md, raw/papers/waferllm-wafer-scale-llm-inference.md.

• Update: Cerebras WSE, Prefill-Decode Resource Divergence, SpaDA Programming Language, DSA Processor Design Tradeoffs — PLMR/MeshGEMM/V、KV shift、WSE LLM serving 交叉引用。

• Ingest: 体系结构 30 天学习笔记 Day 24 → raw/articles/arch-study-30d-day-24.md（源：openclawdata/.../arch-study-30d/day-24.md）。

• Creation: GPU SIMT Architecture.

• Update: Multicore SMT and NUCA, Instruction-Level Parallelism, Branch Prediction, DRAM and Memory System, DSA Processor Design Tradeoffs — SIMT/Warp/Tensor Core、Roofline、WSE 对照交叉引用。

• Ingest: Dally & Towles 互连网络 Day 12 → raw/articles/interconn-study-21d-day-12.md（源：openclawdata/.../interconn-study-21d/day-12.md）。

• Creation: Adaptive Routing for NoC.

• Update: Deterministic Routing and DOR, Interconnection Network Design Space, NoC Router 微架构, Cerebras WSE — 最小/VRR/VC、Duato 预告、DOR 选型交叉引用。

2026-07-06

• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 9–11 → raw/articles/interconn-study-21d-day-09.md、day-10.md、day-11.md（源：openclawdata/.../interconn-study-21d/day-09..11.md）。
• Creation: Topology Optimization Variants, Deterministic Routing and DOR.
• Update: Interconnection Topology Metrics — 六拓扑统一比较、选型决策树（Day 10）；Mesh and Torus Topology, Interconnection Network Design Space, Butterfly and MIN Topology, Flattened Butterfly Topology, Collective-Capable NoC, NoC Router 微架构, Cerebras WSE — Folding/CMesh/Express、Dally 1990、XY/e-cube 路由交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 21–23 → raw/articles/arch-study-30d-day-21.md、day-22.md、day-23.md（源：openclawdata/.../arch-study-30d/day-21..23.md）。
• Creation: NoC Fundamentals (H&P Appendix F), End-to-End Memory Data Path, Multicore SMT and NUCA.
• Update: Interconnection Network Cost Model, DRAM and Memory System, Memory Hierarchy and Cache, Cache Coherence, Memory Consistency Model, SSD and NVMe Storage System, Quantitative Architecture Fundamentals, NoC Router 微架构, Cerebras WSE — 存储篇综合、NoC 五问、SMT/NUCA/Amdahl 交叉引用。
• Ingest: TileLoom PDF → raw/papers/TileLoom_Automatic_Dataflow_Planning_2026.pdf（Zotero: arXiv:2512.22168v2）。
• Creation: TileLoom Compiler, tileloom-automatic-dataflow-planning.md, raw/papers/tileloom-automatic-dataflow-planning.md.
• Update: SpaDA Programming Language, Plasticine Accelerator, Collective-Capable NoC, DSA Processor Design Tradeoffs — Triton/Helion dataflow planning vs WSE SpaDA 交叉引用。

2026-07-03

• Ingest: Constable 精读笔记 → raw/reports/constable-deepdive.md（源：openclawdata/.../superscalar-cpu/constable-deepdive.md）。
• Creation: Constable Load Elimination, constable-load-elimination.md.
• Update: Superscalar CPU Research (2023-2026), Out-of-Order Execution, Instruction-Level Parallelism, Prefill-Decode Resource Divergence — SLD/RMT/AMT、ISCA’24 Best Paper 交叉引用。
• Ingest: OpenClaw 超标量 CPU 研究综述 → raw/reports/superscalar-cpu-final-report.md、raw/reports/superscalar-cpu-report.md（源：openclawdata/.../superscalar-cpu/FINAL-report.md）。
• Creation: Superscalar CPU Research (2023-2026), superscalar-cpu-research-2023-2026.md.
• Update: Branch Prediction, Out-of-Order Execution, Instruction-Level Parallelism, DSA Processor Design Tradeoffs, Cerebras WSE, Prefill-Decode Resource Divergence, Memory Consistency Model — Constable/Bullseye/Prophet/CVA6S+ 与 WSE/LLM 交叉引用。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 8 → raw/articles/interconn-study-21d-day-08.md（源：openclawdata/.../interconn-study-21d/day-08.md）。
• Creation: Butterfly and MIN Topology.
• Update: Clos and Fat-Tree Topology, Switching Networks, Flattened Butterfly Topology, Mesh and Torus Topology — Butterfly/Omega/Banyan/Batcher-Banyan 与 Clos/Mesh 交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 20 → raw/articles/arch-study-30d-day-20.md（源：openclawdata/.../arch-study-30d/day-20.md）。
• Creation: SSD and NVMe Storage System.
• Update: DRAM and Memory System, Memory Hierarchy and Cache, Cerebras WSE, CMX & STX, Prefill-Decode Resource Divergence, Inference Capacity Trap — FTL/RAID/NVMe/io_uring、memoryX、KV tier 交叉引用。
• Ingest: 郑启航 知乎「分布式存储架构下的矩阵乘与编译器」→ raw/articles/分布式存储架构下的矩阵乘与编译器.md（已有 clippings；补 OKF frontmatter）。
• Creation: Distributed GEMM Algorithms, distributed-gemm-and-compiler.md.
• Update: Mesh and Torus Topology, Linear and Ring Topology, AllReduce Algorithms, Parallelism Transition Point, Graphcore IPU, SpaDA Programming Language — Cannon/SUMMA/2.5D/3D GEMM 与 T10 rTensor 交叉引用。

2026-06-24

• Ingest: Rabenseifner 2004 MPI collective reduction ICCS PDF → raw/papers/Rabenseifner_Collective_Reduction_Operations_2004.pdf（Zotero: ICCS 2004, LNCS 3036）。
• Creation: AllReduce Algorithms, rabenseifner-collective-reduction-operations.md, raw/papers/rabenseifner-collective-reduction-operations.md.
• Update: WSE Reduce Algorithms, Linear and Ring Topology, Interconnection Network Cost Model, Parallelism Transition Point, Near-Optimal Wafer-Scale Reduce — MPI Ring/RHD 与 WSE collective 谱系交叉引用。
• Ingest: Aimuyo et al. 2025 FlashMoE NeurIPS PDF → raw/papers/FlashMoE_Fast_Distributed_MoE_Single_Kernel_2025.pdf（Zotero: arXiv:2506.04667）。
• Creation: FlashMoE Kernel, flashmoe-fast-distributed-moe-single-kernel.md, raw/papers/flashmoe-fast-distributed-moe-single-kernel.md.
• Update: MegaMoE Kernel, M2N Communication, Disaggregated Inference, Parallelism Transition Point, MegaScale-Infer — MoE EP kernel 栈交叉引用。
• Ingest: Shah et al. 2024 FlashAttention-3 PDF → raw/papers/FlashAttention3_Asynchrony_Low_Precision_2024.pdf（Zotero: arXiv:2407.08608）。
• Creation: FlashAttention-3, flashattention-3-asynchrony-low-precision.md, raw/papers/flashattention-3-asynchrony-low-precision.md.
• Update: FlashAttention, FlashAttention-2, FlashDecoding++, Prefill-Decode Resource Divergence, flashattention-2-faster-attention.md, flashdecoding-plus-plus-llm-gpu-inference.md — FA→FA2→FA3 谱系补全。
• Ingest: Dao et al. 2022 FlashAttention NeurIPS PDF → raw/papers/FlashAttention_Fast_IO_Aware_Attention_2022.pdf（Zotero: arXiv:2205.14135, NeurIPS 2022）。
• Creation: FlashAttention, flashattention-io-aware-exact-attention.md, raw/papers/flashattention-io-aware-exact-attention.md.
• Update: FlashAttention-2, FlashDecoding++, Prefill-Decode Resource Divergence, flashattention-2-faster-attention.md, flashdecoding-plus-plus-llm-gpu-inference.md — FA→FA2→FlashDecoding 谱系交叉引用。
• Ingest: Dao 2023 FlashAttention-2 PDF → raw/papers/FlashAttention2_Faster_Attention_2023.pdf（Zotero: arXiv:2307.08691）。
• Creation: FlashAttention-2, flashattention-2-faster-attention.md, raw/papers/flashattention-2-faster-attention.md.
• Update: FlashDecoding++, Prefill-Decode Resource Divergence, dspark-speculative-decoding.md — prefill attention vs decode kernel 栈交叉引用。
• Ingest: Hong et al. 2024 FlashDecoding++ PDF → raw/papers/FlashDecoding_PlusPlus_LLM_Inference_GPUs_2024.pdf（Zotero: arXiv:2311.01282）。
• Creation: FlashDecoding++, flashdecoding-plus-plus-llm-gpu-inference.md, raw/papers/flashdecoding-plus-plus-llm-gpu-inference.md.
• Update: Prefill-Decode Resource Divergence, DSpark Speculative Decoding, Heterogeneous Inference, dspark-speculative-decoding.md — decode kernel vs speculative/异构推理交叉引用。
• Ingest: Prabhakar et al. 2017 Plasticine ISCA PDF → raw/papers/Plasticine_Reconfigurable_Parallel_Patterns_2017.pdf（Zotero: ISCA 2017, DOI 10.1145/3079856.3080256）。
• Creation: Plasticine Accelerator, plasticine-reconfigurable-parallel-patterns.md, raw/papers/plasticine-reconfigurable-parallel-patterns.md.
• Update: Basic Data-Flow Processor, SpaDA Programming Language, DSA Processor Design Tradeoffs, FEATHER Accelerator, Eyeriss Accelerator — parallel patterns CGRA、dataflow 谱系交叉引用。
• Ingest: Chen et al. 2017 Eyeriss JSSC PDF → raw/papers/Eyeriss_Energy_Efficient_CNN_Accelerator_2017.pdf（Zotero: JSSC 2017, DOI 10.1109/JSSC.2016.2616357）。
• Creation: Eyeriss Accelerator, eyeriss-energy-efficient-cnn-accelerator.md, raw/papers/eyeriss-energy-efficient-cnn-accelerator.md.
• Update: FEATHER Accelerator, feather-reconfigurable-accelerator.md, DSA Processor Design Tradeoffs, Collective-Capable NoC, NoC Router 微架构 — RS dataflow、GIN 组播 NoC、FEATHER 固定基线交叉引用。
• Ingest: Dennis & Misunas 1975 basic data-flow processor PDF → raw/papers/Dennis_Misunas_Basic_Data_Flow_Processor_1975.pdf（Zotero: ISCA 1975, ACM 641675.642111）。
• Creation: Basic Data-Flow Processor, dennis-misunas-basic-data-flow-processor.md, raw/papers/dennis-misunas-basic-data-flow-processor.md.
• Update: Deterministic Execution, DSA Processor Design Tradeoffs, CPU Pipeline Fundamentals, SpaDA Programming Language, Cerebras WSE — 数据流架构历史交叉引用。
• Update: Collective-Capable NoC, collective-capable-noc-ml-accelerators.md — 扩充 DCA 范式。
• Ingest: Colagrande et al. 2026 collective-capable NoC PDF → raw/papers/Collective_Capable_NoC_ML_Accelerators_2026.pdf（Zotero: MLSys 2026, arXiv:2603.26438）。
• Creation: Collective-Capable NoC, collective-capable-noc-ml-accelerators.md, raw/papers/collective-capable-noc-ml-accelerators.md.
• Update: NoC Router 微架构, Mesh and Torus Topology, WSE Reduce Algorithms, Memory Consistency Model, Cerebras WSE — FlooNoC multicast/reduction/DCA/barrier 交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 19 → raw/articles/arch-study-30d-day-19.md.
• Creation: Memory Consistency Model.
• Update: Cache Coherence, Memory Fence and Barrier, Out-of-Order Execution, Deterministic Execution, DSA Processor Design Tradeoffs, Cerebras WSE, WSE Reduce Algorithms — SC/TSO/ARM、fence、CAS/MCS 锁、WSE barrier 交叉引用。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 7 → raw/articles/interconn-study-21d-day-07.md.
• Creation: Clos and Fat-Tree Topology.
• Update: Mesh and Torus Topology, Linear and Ring Topology, Interconnection Topology Metrics, Interconnection Network Design Space, Interconnection Network Cost Model, Switching Networks, Multi-plane Clos Topology for AI Training — Clos 定理、Fat-Tree、间接网络交叉引用。
• Ingest: FEATHER 论文 PDF → raw/papers/FEATHER_Reconfigurable_Accelerator_Dataflow_Switching_2024.pdf（Zotero: Tong et al. 2024, arXiv:2405.13170）。
• Creation: FEATHER Accelerator, feather-reconfigurable-accelerator.md, raw/papers/feather-reconfigurable-accelerator.md.
• Update: 3D-Stacked AI Chip, DSA Processor Design Tradeoffs, SpaDA Programming Language — dataflow/layout 可重构交叉引用。
• Ingest: SpaDA 论文 PDF → raw/papers/SpaDA_Spatial_Dataflow_Architecture_Programming_Language_2026.pdf（Zotero: Gianinazzi et al. 2026, arXiv:2511.09447）。
• Creation: SpaDA Programming Language, spada-spatial-dataflow-architecture.md, raw/papers/spada-spatial-dataflow-architecture.md.
• Update: Cerebras WSE, Deterministic Execution, Cerebras Color Mechanism, WSE Reduce Algorithms, Cache Coherence — SpaDA/CSL 编程模型交叉引用。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 6 → raw/articles/interconn-study-21d-day-06.md.
• Creation: Mesh and Torus Topology.
• Update: Interconnection Topology Metrics, Linear and Ring Topology, Interconnection Network Design Space, Interconnection Network Cost Model — 2-D Mesh/Torus、k-ary n-cube、Dally d_opt 交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 18 → raw/articles/arch-study-30d-day-18.md.
• Creation: Cache Coherence.
• Update: Memory Hierarchy and Cache, DSA Processor Design Tradeoffs, Memory Fence and Barrier, Virtual Memory and TLB, Cerebras WSE — MESI/Snooping/Directory/False Sharing 交叉引用。
• Ingest: 体系结构 30 天学习笔记 Day 17 → raw/articles/arch-study-30d-day-17.md.
• Creation: DRAM and Memory System.
• Update: Memory Hierarchy and Cache, Cerebras WSE — DRAM/HBM/内存墙交叉引用。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 5 → raw/articles/interconn-study-21d-day-05.md.
• Creation: Linear and Ring Topology.
• Update: Interconnection Topology Metrics, Interconnection Network Design Space — 1-D 基线、TileLink Ring 交叉引用。
• Ingest: DSpark 论文 PDF → raw/papers/DSpark_Confidence-Scheduled_Speculative_Decoding_2026.pdf（Zotero: Cheng et al. 2026）。
• Creation: DSpark Speculative Decoding, dspark-speculative-decoding.md, raw/papers/dspark-speculative-decoding.md.
• Update: DeepSeek-V4, Prefill-Decode Resource Divergence, Heterogeneous Inference — speculative decode 交叉引用。
• Ingest: Memory Fence 深度研究报告 → raw/articles/memory-fence-hardware-2026-06-28.md（源：openclawdata/.../notes/reports/）。
• Creation: Memory Fence and Barrier.
• Update: Out-of-Order Execution, Deterministic Execution, Virtual Memory and TLB, DSA Processor Design Tradeoffs, ISA Design Principles, Cerebras WSE — fence/coherence 交叉引用。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 3–4 → raw/articles/interconn-study-21d-day-03.md, interconn-study-21d-day-04.md.
• Creation: Interconnection Topology Metrics, Interconnection Network Cost Model.
• Update: Interconnection Network Design Space, Cerebras WSE — 拓扑度量、延迟/B_b 模型、Mesh vs Torus 权衡。
• Ingest: 体系结构 30 天学习笔记 Day 15–16 → raw/articles/arch-study-30d-day-15.md, arch-study-30d-day-16.md.
• Creation: Virtual Memory and TLB, DSA Processor Design Tradeoffs.
• Update: Memory Hierarchy and Cache, Cerebras WSE, Deterministic Execution — TLB/核心篇总结交叉引用。
• Ingest: Hennessy & Patterson 30 天体系结构学习笔记 Day 1–14 → raw/articles/arch-study-30d-day-*.md（14 文件）。
• Creation: Quantitative Architecture Fundamentals, ISA Design Principles, Numeric Formats for AI Hardware, Architecture Benchmark Methodology, CPU Pipeline Fundamentals, Instruction-Level Parallelism, Out-of-Order Execution, Branch Prediction, Memory Hierarchy and Cache.
• Update: Cerebras WSE, Deterministic Execution, FP4 Quantization-Aware Training — 与 CPU 体系结构概念交叉引用。
• Schema: 标签 taxonomy 新增 isa, pipeline, cache, power。
• Ingest: Dally & Towles 互连网络 21 天学习笔记 Day 1–2 → raw/articles/interconn-study-21d-day-01.md, interconn-study-21d-day-02.md.
• Creation: Interconnection Network Design Space, Interconnection Network Protocol Stack.
• Update: Switching Principles — 报文/虫孔交换、历史里程碑；Cerebras WSE — Mesh 度量与虫孔选型。
• Schema: 标签 taxonomy 新增 interconnect。
• Cleanup: 删除重复的 references/raw/（OKF 转换副本）；唯一原始资料目录为 raw/。megascale-infer-2504.02263.pdf、cassini-network-aware-scheduling-2308.00852.pdf 本就位于 raw/papers/（与 references/raw/papers/ 为同内容副本），无需迁移。
• Docs: README 与 OKF skill 统一为仅使用 raw/。
• Creation: Graphcore IPU, Core Group (DRAM Access Synchronization).
• Update: 3D-Stacked AI Chip, Voxel Simulator, Voxel 3D-Stacked AI Chip LLM Inference — 交叉引用拆分页。
• Schema: 标签 taxonomy 新增 graphcore。
• Ingest: Voxel 3D-Stacked AI Chip LLM Inference from raw/papers/Exploring the efficiency of 3D-stacked AI chip architecture for LLM inference with voxel.pdf (arXiv:2604.26821).
• Creation: 3D-Stacked AI Chip, Voxel Simulator.
• Update: Prefill-Decode Resource Divergence — 3D chip prefill/decode 设计空间差异。
• Creation: Converted LLM wiki at /home/luke/wiki to OKF v0.1 bundle (54 work pages + raw sources).
• Source: Karpathy-style LLM wiki (entities, concepts, papers, summaries, analyses).
• Update: Generated interactive viz.html (74 concepts, 237 cross-links).