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f.FENG/Knowledge Lab知识实验室
MAP OF KNOWLEDGE

Different fields. Infinite connections不同方向，无限联结.

Map the ideas. Discover the connections.建立索引，也发现知识之间的联系。

∑03 notes03 篇

Mathematics数学与算法

From abstract ideas to visual intuition从抽象公式，到直觉与图形

01 / MATHEMATICS
∿08 notes08 篇

Physics & Models物理与模型

Models that make sense of the world用模型，解释世界如何运转

02 / PHYSICS
⌘13 notes13 篇

Systems & Performance系统与性能

Closer to the metal. Every cycle counts.走近底层，让每个周期有价值

03 / SYSTEMS
▥02 notes02 篇

Benchmark基准测试

Less guessing. More measuring.少一点猜测，多一点测量

04 / EXPERIMENTS
◎01 notes01 篇

Life & Neuroscience生命与神经科学

From cell structure to neural computation从细胞结构到神经计算

05 / LIFE & NEUROSCIENCE
≋16 notes16 篇

Finance & Decisions金融与决策

Cash flows, risk and investment decisions从现金流、风险到投资决策

06 / FINANCE
⌁02 notes02 篇

Travel & Journals旅行与见闻

Landscapes and observations beyond the everyday沿途的风景，与日常之外的观察

07 / TRAVEL

MATHEMATICS数学与算法

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How do spikes learn to compute?脉冲如何学会计算？

SNN / Dynamical systems / Interactive labSNN / 动力系统 / 交互实验

Fast Matrix–Vector Products快速矩阵向量乘法

FFT / Linear algebraFFT / 线性代数

Frank–Wolfe AlgorithmFrank–Wolfe 条件梯度法

Convex optimization / Frank–Wolfe凸优化 / Frank–Wolfe

PHYSICS物理与模型

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Roadster engineering 06: thermal limits and repeatable performanceRoadster 技术拆解 06：热管理与重复性能

Tesla / Roadster / Thermal management / Duty cycle / Engineering

Roadster engineering 05: force allocation and yaw controlRoadster 技术拆解 05：受力分配与偏航控制

Tesla / Roadster / Vehicle dynamics / Control allocation / Engineering

Roadster engineering 04: how long can cold-gas thrust last?Roadster 技术拆解 04：冷气推力，能撑过这一秒吗？

Tesla / Roadster / Thermodynamics / Propulsion / Fluid mechanics

Roadster engineering 03: where should downforce act?Roadster 技术拆解 03：下压力应该加在哪里？

Tesla / Roadster / Vehicle dynamics / Tyres / Mechanics

Roadster engineering 02: power or grip for a one-second launch?Roadster 技术拆解 02：一秒加速，先补功率还是抓地力？

Tesla / Roadster / Electric vehicles / Power electronics / Mechanics

Roadster engineering 01: beyond the tyre limitRoadster 技术拆解 01：突破轮胎限制

Tesla / Roadster / Mechanics / Electric vehicles

Beneath the ice: how neutrinos become evidence冰下的宇宙：怎样捕捉中微子的踪迹

Neutrinos / IceCube / Nobel Prize / Particle physics

Waves, phase & superposition波、相位与叠加：让公式动起来

Waves / Phase / Interactive lab波动 / 相位 / 交互实验

SYSTEMS系统与性能

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DGX Spark or Mac Studio Ultra: choosing a local LLM systemDGX Spark 还是 Mac Studio Ultra：本地大模型怎么选？

LLM / DGX Spark / Mac Studio / MLX / CUDA / Inference

The operator contract: schemas and code generation算子的接口契约：Schema 与代码生成

PyTorch / IDL / ATen / torchgen / Schema

From torch.compile to generated kernels: capture, guards and fusion从 torch.compile 到生成内核：图捕获、守卫与融合

PyTorch / torch.compile / TorchInductor / Performance / C++PyTorch / torch.compile / TorchInductor / 性能优化 / C++

Autograd nodes and the backward engine: how gradients meetAutograd 节点与反向引擎：梯度如何汇合

PyTorch / Autograd / Computation graph / C++

CUDA streams, kernels and timing: when is the GPU actually done?CUDA 流、内核与计时：GPU 到底什么时候算完？

PyTorch / CUDA / Streams / Benchmark / C++PyTorch / CUDA / Streams / 基准测试 / C++

Operator registration and dispatch: how PyTorch selects a kernel算子注册与调度：PyTorch 如何选择内核

PyTorch / Dispatcher / ATen / Autograd / C++

Tensor, strides, and storage: why a transpose can be freeTensor、步幅与存储：转置为什么可以不搬数据

PyTorch / Tensor / Memory layout / C++

Rust vs C++: two paths to performanceRust vs C++：高性能的两条路

Rust / C++ / Memory safetyRust / C++ / 内存安全

CUDA Rust: from threads to tilesCUDA Rust：从线程到 Tile，理解两条 Kernel 路线

CUDA / Rust / SIMT / Tile / GPU performance

What is PyTorch? Inside torch.matmulPyTorch 到底是什么？跟踪一次 torch.matmul

PyTorch / ATen / Autograd / C++ / Framework internals

Band Storage GAXPY带状矩阵的紧凑存储

Memory layout / Matrix computation存储布局 / 矩阵计算

Symmetric Storage GAXPY对称矩阵的压缩存储

Memory layout / Linear algebra存储布局 / 线性代数

Matrix Multiplication矩阵乘法：结构与效率

BLAS / Matrix computation / PerformanceBLAS / 矩阵计算 / 性能优化

EXPERIMENTS基准测试

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Parallel matrix–vector benchmark: C++, Rust and Python并行矩阵向量乘法基准测试：C++、Rust 与 Python

C++ / Rust / Python / OpenMP / oneTBB / Rayon / Numba / Parallelism / Sparse matrices

How much faster? Benchmark with evidence快了多少？从一次测量到可信的基准测试

Benchmark / Performance / JavaScript基准测试 / 性能优化 / JavaScript

LIFE & NEUROSCIENCE生命与神经科学

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Human vision: from retinal biology to optical limits and engineering人的视觉系统：从生物现象、光学约束到工程实现

Vision / Retina / Neuroscience / Signal processing视觉 / 视网膜 / 神经科学 / 信号处理

FINANCE金融与决策

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Financial Statements 13: Compare five Chinese insurers through time and across peers财报阅读 13：五家保险公司的纵向与横向比较

Financial statements / Insurance / CPIC / New China Life / Ping An / China Life / PICC / Warren Buffett / Charlie Munger

Financial Statements 08: CPIC and the quality of insurance earnings财报阅读 08：中国太保，拆开保险公司的利润

Financial statements / Insurance / Warren Buffett / Charlie Munger / CPIC

Financial Statements 09: New China Life and the assumptions behind growth财报阅读 09：新华保险，检验新业务价值的含金量

Financial statements / Insurance / Warren Buffett / Charlie Munger / New China Life

Financial Statements 10: Ping An, from group profit to shareholder cash财报阅读 10：中国平安，利润怎样变成股东现金

Financial statements / Insurance / Capital allocation / Warren Buffett / Charlie Munger

Financial Statements 11: China Life, assets and promises财报阅读 11：中国人寿，投资收益背后的保单承诺

Financial statements / Insurance / Capital allocation / Warren Buffett / Charlie Munger

Financial Statements 12: PICC and the discipline behind insurance float财报阅读 12：中国人保，浮存金背后的承保纪律

Financial statements / Insurance / PICC / Underwriting / Float / Warren Buffett / Charlie Munger

Financial Statements 01: Connect the three statements财报阅读 01：读通三张报表

Financial statements / Warren Buffett / Accounting / Cash flow / Charlie Munger

Financial Statements 02: How much profit can reach shareholders?财报阅读 02：利润里有多少能归股东

Financial statements / Warren Buffett / Owner earnings / Cash flow / Working capital / Capital expenditure / Charlie Munger

Financial Statements 03: Where do high returns on capital come from?财报阅读 03：高回报从哪里来

Financial statements / Warren Buffett / Return on capital / Charlie Munger

Financial Statements 04: How incentives shape management decisions财报阅读 04：管理层为什么这样用钱

Financial statements / Charlie Munger / Warren Buffett / Business quality / Capital allocation

Financial Statements 05: Can the business survive a cash shortfall?财报阅读 05：好生意能否熬过现金低谷

Financial statements / Warren Buffett / Charlie Munger

Financial Statements 06: What is a good business worth?财报阅读 06：好生意值多少钱

Financial statements / Warren Buffett / Charlie Munger

Financial Statements 07: Write an evidence-based research memo财报阅读 07：用真实年报写一份研究笔记

Financial statements / Annual reports / Owner earnings / Capital allocation / Apple / Warren Buffett / Charlie Munger

Smart Money Concepts: liquidity, price formation and returnsSmart Money Concepts：流动性、价格形成与交易收益

Smart Money Concepts / Market microstructure / Asset pricing / Quantitative finance

Kronos in quantitative finance: from forecasts to tradesKronos 金融量化研究：从预测到交易

Kronos / Quantitative finance / Time series / Transformer / PyTorch

When does running a model yourself pay off?本地部署大模型，多久能回本？

LLM / ROI / NPV / Deployment / Investment

TRAVEL旅行与见闻

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Chaoshan, from old streets to the sea潮汕，骑楼下，海风里

Chaoshan / Shantou / Nan’ao Island / Chaozhou / Travel journal / Food潮汕 / 汕头 / 南澳岛 / 潮州 / 游记 / 美食

Jiuzhaigou, in the depths of blue九寨沟，水色深处

Jiuzhaigou / Travel journal / Landscapes / Photography九寨沟 / 游记 / 山水 / 摄影

Search the notebook搜索知识库

Try “matrix”, “Rust”, or “spikes”试试「矩阵」「Rust」或「脉冲」

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