<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>WeiGao Systems Wiki</title><description>记录 AI 系统、底层计算与工程实践的个人知识库，连接论文、源码、trace 与性能建模。</description><link>https://weigao.cc/</link><language>zh-CN</language><item><title>Hyperloom Specialist 与配置调优：一个 Agentic 调参系统的源码拆解</title><link>https://weigao.cc/ai-systems/llm-inference/hyperloom-specialist-config-tuning/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/hyperloom-specialist-config-tuning/</guid><description>拆解 AMD Hyperloom 的 specialist 实现与服务配置调优链路：knob 面、变体指纹、贪心爬山、衰减接受线与单次测量的方法学边界</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>gpu-optimization</category><category>agentic</category><category>hyperparameter-tuning</category><category>benchmark</category><category>rocm</category><category>sglang</category><category>vllm</category></item><item><title>vLLM Async Scheduling：三态配置、投机解码与状态提交</title><link>https://weigao.cc/ai-systems/llm-inference/vllm-async-scheduling-speculative-decoding/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/vllm-async-scheduling-speculative-decoding/</guid><description>沿 vLLM 源码解释 async scheduling 的三态配置、output placeholder、EAGLE/MTP 状态归属，以及 accepted-count 同步如何影响真实重叠</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>vllm</category><category>decode</category><category>kv-cache</category><category>trace</category></item><item><title>Kimi K3：架构、训练与推理系统研究</title><link>https://weigao.cc/ai-systems/llm-inference/kimi-k3-architecture-training-inference/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/kimi-k3-architecture-training-inference/</guid><description>沿一次 Kimi K3 前向过程，系统解释 Hybrid KDA–MLA、AttnRes、Stable LatentMoE、长上下文训练和在线推理系统</description><pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>attention</category><category>moe</category><category>distributed-training</category><category>quantization</category></item><item><title>cmux 一键复刻配置</title><link>https://weigao.cc/toolbox/tools/cmux-setup/</link><guid isPermaLink="true">https://weigao.cc/toolbox/tools/cmux-setup/</guid><description>cmux（Ghostty 内核的 macOS AI 终端）的配色、侧栏、远程 SSH 全套配置，附一次实配过程中踩到的 12 个坑与实测数据。</description><pubDate>Sat, 01 Aug 2026 00:00:00 GMT</pubDate><category>cmux</category><category>terminal</category><category>dotfiles</category><category>macos</category><category>ssh</category></item><item><title>推理并行：DP、TP、PP、EP 与 CP 怎么选</title><link>https://weigao.cc/ai-systems/llm-inference/inference-parallelism/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/inference-parallelism/</guid><description>从显存、计算、通信与拓扑四个约束理解推理侧 DP、TP、PP、EP、CP 的作用域和组合方法</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>parallelism</category><category>tensor-parallel</category><category>pipeline-parallel</category><category>expert-parallel</category><category>context-parallel</category></item><item><title>推理 Kernel / Runtime 优化：少搬、少启、少等</title><link>https://weigao.cc/ai-systems/llm-inference/kernel-runtime-optimization/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/kernel-runtime-optimization/</guid><description>用 HBM 流量、并行度、Kernel launch 与同步四个控制点理解 FlashAttention、Decode Kernel、Fusion 和 CUDA Graph</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>gpu-kernel</category><category>flashattention</category><category>flashdecode</category><category>kernel-fusion</category><category>cuda-graph</category></item><item><title>KV Cache Hit Ratio 修正模型：从直觉到统一公式</title><link>https://weigao.cc/ai-systems/llm-inference/kv-cache-hit-ratio-tpm-correction-model/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/kv-cache-hit-ratio-tpm-correction-model/</guid><description>在固定配置下把 KV prefix hit 映射到 compute、cache load、overlap、TTFT 与 Delivered/Physical TPM</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>kv-cache</category><category>simulator</category><category>prefill</category><category>tpm</category></item><item><title>MoE 推理：Expert Parallelism（EP）、显存与调度</title><link>https://weigao.cc/ai-systems/llm-inference/moe-inference/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/moe-inference/</guid><description>MoE 推理中的参数口径、dispatch-compute-combine 数据流、EP 边界与显存合同</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>moe</category><category>expert-parallelism</category><category>inference</category></item><item><title>模拟器建模指南：显存与吞吐公式</title><link>https://weigao.cc/ai-systems/llm-inference/simulator-modeling-guide/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/simulator-modeling-guide/</guid><description>LLM 推理容量模拟器的场景输入、显存、吞吐、scope、低精度格式与校准合同</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>simulator</category><category>memory-modeling</category><category>inference</category></item><item><title>Token Flow 与 Hidden State：从 Attention 到 LM Head</title><link>https://weigao.cc/ai-systems/llm-inference/token-flow-hidden-state/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/token-flow-hidden-state/</guid><description>用一次 decode step 串起 hidden state、Attention、FFN/MoE、LM Head 和 Sampling</description><pubDate>Tue, 28 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>transformer</category><category>hidden-state</category><category>attention</category><category>moe</category><category>lm-head</category></item><item><title>LLM 推理系统全栈地图</title><link>https://weigao.cc/ai-systems/llm-inference/00-full-stack-synthesis/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/00-full-stack-synthesis/</guid><description>用算力、带宽、容量与通信四种压力串起 Token 数据流、KV Cache、量化、调度、并行、Kernel 和 Serving</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>synthesis</category><category>systems</category><category>optimization</category></item><item><title>KV Cache：推理性能的命根子</title><link>https://weigao.cc/ai-systems/llm-inference/01-kv-cache/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/01-kv-cache/</guid><description>理解 KV Cache 的复用语义、容量公式、分页与共享机制，以及从分配到驱逐的生命周期</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>LLM</category><category>Inference</category><category>KV Cache</category><category>PagedAttention</category><category>vLLM</category><category>Memory Management</category></item><item><title>量化：从 Scale 到 W4A8 的完整坐标</title><link>https://weigao.cc/ai-systems/llm-inference/03-quantization/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/03-quantization/</guid><description>从第一性原理解释量化对象、数值格式、Scale 粒度、PTQ/QAT、运行时 Kernel 与性能验收边界</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>quantization</category><category>prefill</category><category>decode</category><category>gpu</category></item><item><title>从 AVX/AMX 到 Tensor Core：CPU 工程师理解 LLM 量化</title><link>https://weigao.cc/ai-systems/llm-inference/cpu-engineer-quantization-bridge/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/cpu-engineer-quantization-bridge/</guid><description>把 INT8、VNNI、AMX、Cache、Memory Wall 和 perf/IBS 的 CPU 心智模型映射到 Scale、Tensor Core、HBM 与 GPU Kernel 验证</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>quantization</category><category>cpu</category><category>gpu</category></item><item><title>FP4/FP8 量化：值域、Scale 与运行时合同</title><link>https://weigao.cc/ai-systems/llm-inference/fp4-fp8-quantization/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/fp4-fp8-quantization/</guid><description>区分 FP4/FP8 数值格式、Current/Delayed/Block scaling、NVFP4 与 MXFP8，并说明 Checkpoint 到 Kernel 的能力边界</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>quantization</category><category>gpu</category></item><item><title>GLM-5.2 量化执行图：W4A8、BMM 与 KV8</title><link>https://weigao.cc/ai-systems/llm-inference/glm52-operator-quantization/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/glm52-operator-quantization/</guid><description>用待 Trace 复核的 GLM-5.2 Prefill 示例路径解释 W4A8、E2M1/E4M3、低精度 BMM、BF16 Attention 与 FP8 KV Cache</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>quantization</category><category>fp4</category><category>fp8</category><category>nvfp4</category><category>profiling</category></item><item><title>量化方法与评测：从 PTQ/QAT 到可复现实验</title><link>https://weigao.cc/ai-systems/llm-inference/quantization-methods-evaluation/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/quantization-methods-evaluation/</guid><description>按控制点理解 GPTQ、AWQ、SmoothQuant、Rotation 与 QAT，并用执行真实性、质量、容量、性能四道门验收量化方案</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>quantization</category><category>profiling</category><category>research</category></item><item><title>AMX 指令</title><link>https://weigao.cc/cpu-gpu/cpu-architecture/instruction-sets/amx/</link><guid isPermaLink="true">https://weigao.cc/cpu-gpu/cpu-architecture/instruction-sets/amx/</guid><description>Intel AMX 的 Tile 寄存器、TMUL、低精度输入与宽精度累加合同</description><pubDate>Sun, 26 Jul 2026 00:00:00 GMT</pubDate><category>x86</category><category>architecture</category><category>Computer Architecture</category></item><item><title>Attention 架构演化：从多头注意力（MHA）到 GQA、MLA</title><link>https://weigao.cc/ai-systems/llm-inference/attention-evolution/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/attention-evolution/</guid><description>用 KV 共享、表示压缩、访问稀疏和递推状态四条路线理解现代 LLM Attention</description><pubDate>Tue, 21 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>attention</category><category>kv-cache</category></item><item><title>从 Profiling 到 Simulation：推理性能分析的证据链方法</title><link>https://weigao.cc/ai-systems/profiling/profiling-to-simulation-evidence-chain/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/profiling/profiling-to-simulation-evidence-chain/</guid><description>把线上 profiling 证据和仿真假设验证组织到同一个推理性能分析框架里</description><pubDate>Sat, 11 Jul 2026 00:00:00 GMT</pubDate><category>profiling</category><category>simulation</category><category>llm-inference</category><category>performance-analysis</category><category>awp</category></item><item><title>Prefill Trace：Worker 供给、DSA/MLA 与 Chunked Prefill</title><link>https://weigao.cc/ai-systems/llm-inference/prefill-trace-worker-dsa-mla/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/prefill-trace-worker-dsa-mla/</guid><description>用 GLM-5.2 Prefill Trace 区分 worker 供给、模型计算、KV 数据路径、通信与同步</description><pubDate>Fri, 10 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>prefill</category><category>trace</category><category>mla</category><category>chunked-prefill</category><category>scheduling</category></item><item><title>GDN 与 Chunked Prefill：为什么 prepare_chunk_indices 会出现在 trace 里</title><link>https://weigao.cc/ai-systems/llm-inference/gdn-chunked-prefill/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/gdn-chunked-prefill/</guid><description>区分 scheduler chunk 与 GDN kernel chunk，并解释 prepare_chunk_indices 的映射和同步边界</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>gdn</category><category>qwen3next</category><category>chunked-prefill</category><category>prefill</category><category>vllm</category><category>profiling</category></item><item><title>DeepSeek MLA：低秩 KV Cache 与推理效率</title><link>https://weigao.cc/ai-systems/llm-inference/deepseek-mla/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/deepseek-mla/</guid><description>解释 MLA 的低秩 KV、RoPE 解耦、矩阵吸收、容量公式与 serving 边界</description><pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>attention</category><category>kv-cache</category><category>deepseek</category><category>mla</category></item><item><title>Chunked Prefill 深入分析：调度、Chunk Size 与 Attention 形状</title><link>https://weigao.cc/ai-systems/llm-inference/chunked-prefill-deep-dive/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/chunked-prefill-deep-dive/</guid><description>从调度合同、Attention/GEMM 形状与验收矩阵理解 Chunked Prefill 的收益和边界</description><pubDate>Thu, 02 Jul 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>chunked-prefill</category><category>scheduling</category><category>prefill</category><category>decode</category><category>attention</category><category>vllm</category></item><item><title>推理框架对比 2026：从 Engine 到 Serving Stack</title><link>https://weigao.cc/ai-systems/llm-inference/inference-frameworks-2026/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/inference-frameworks-2026/</guid><description>用 Serving Stack、实现差异和选型合同比较 LLM 推理框架，而不是寻找脱离 workload 的最快引擎</description><pubDate>Wed, 01 Jul 2026 00:00:00 GMT</pubDate><category>vllm</category><category>sglang</category><category>tensorrt-llm</category><category>inference-framework</category><category>disaggregated-serving</category><category>kv-cache</category></item><item><title>DeepSeek-V3 Technical Report：中英对照解读</title><link>https://weigao.cc/ai-systems/llm-inference/deepseek-v3-technical-report-bilingual-notes/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/deepseek-v3-technical-report-bilingual-notes/</guid><description>对 DeepSeek-V3 Technical Report 的中英对照导读：架构、MoE 负载均衡、MTP、FP8 训练、Prefill/Decode 部署和推理工程启发</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><category>LLM</category><category>DeepSeek</category><category>MoE</category><category>FP8</category><category>MTP</category><category>Inference</category></item><item><title>DSpark 与 MTP：DeepSeek 投机解码调研</title><link>https://weigao.cc/ai-systems/llm-inference/dspark-vs-mtp/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/dspark-vs-mtp/</guid><description>调研 DeepSeek DSpark 的半自回归草稿模型、置信度调度验证、DeepSpec 源码实现，并和 MTP-1 对比其工程边界</description><pubDate>Mon, 29 Jun 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>speculative-decoding</category><category>deepseek</category><category>dspark</category><category>mtp</category></item><item><title>HTML 交互图测试</title><link>https://weigao.cc/toolbox/tools/html-diagram-test/</link><guid isPermaLink="true">https://weigao.cc/toolbox/tools/html-diagram-test/</guid><description>验证文章中嵌入 agent 生成的 HTML 交互图。</description><pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate><category>html-diagram</category><category>interactive</category></item><item><title>Causal Attention：为什么 KV hit 后 Attention 按 1 - h² 缩放</title><link>https://weigao.cc/ai-systems/llm-inference/causal-attention-kv-hit-area/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/causal-attention-kv-hit-area/</guid><description>用 causal attention 的下三角区域推导 prefix cache hit 后 attention 近似按 1-h² 缩放</description><pubDate>Mon, 15 Jun 2026 00:00:00 GMT</pubDate><category>llm-inference</category><category>attention</category><category>kv-cache</category><category>simulator</category><category>prefill</category></item><item><title>CSA/HCA 注意力：DeepSeek-V4 的混合压缩稀疏机制</title><link>https://weigao.cc/ai-systems/llm-inference/csa-hca-attention/</link><guid isPermaLink="true">https://weigao.cc/ai-systems/llm-inference/csa-hca-attention/</guid><description>基于摄入材料整理 CSA/HCA 的逐层压缩、Indexer、异构 cache 与百万上下文估算，并明确待核验边界</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>attention</category><category>sparse-attention</category><category>kv-cache</category><category>deepseek</category></item><item><title>AWP Profiling API</title><link>https://weigao.cc/toolbox/awp-profiling-api/</link><guid isPermaLink="true">https://weigao.cc/toolbox/awp-profiling-api/</guid><description>AWP 性能分析平台的 REST API 文档：异步提交 GPU/CPU profiling 任务并查询分析结果</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>profiling</category><category>api</category><category>gpu</category><category>cpu</category><category>tooling</category><category>awp</category></item><item><title>Zsh 一键复刻配置</title><link>https://weigao.cc/toolbox/tools/zsh-setup/</link><guid isPermaLink="true">https://weigao.cc/toolbox/tools/zsh-setup/</guid><description>一份可一键复刻的 Zsh / Oh-My-Zsh 配置：插件、主题、别名与跨机迁移脚本。</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><category>zsh</category><category>dotfiles</category><category>macos</category></item><item><title>DFS &amp; DFS</title><link>https://weigao.cc/fundamentals/algorithms/dfs_bfs/</link><guid isPermaLink="true">https://weigao.cc/fundamentals/algorithms/dfs_bfs/</guid><description>深度优先搜索与广度优先搜索的原理及应用</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate></item><item><title>DP</title><link>https://weigao.cc/fundamentals/algorithms/dp/</link><guid isPermaLink="true">https://weigao.cc/fundamentals/algorithms/dp/</guid><description>动态规划基础：斐波那契、记忆化搜索与状态转移</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate></item><item><title>Prefix, Presum</title><link>https://weigao.cc/fundamentals/algorithms/presum/</link><guid isPermaLink="true">https://weigao.cc/fundamentals/algorithms/presum/</guid><description>前缀和算法原理与经典例题汇总</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate></item><item><title>Slide Window</title><link>https://weigao.cc/fundamentals/algorithms/slide_window/</link><guid isPermaLink="true">https://weigao.cc/fundamentals/algorithms/slide_window/</guid><description>滑动窗口与双指针技巧及例题</description><pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate></item><item><title>Sort</title><link>https://weigao.cc/fundamentals/algorithms/sort/</link><guid 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