bojieli / ai-infra-book

《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

cfregly / ai-performance-engineering

Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.

SciML / SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

RRZE-HPC / likwid

Performance monitoring and benchmarking suite

usamahz / cpu-performance-engineering

A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.

aviatesk / JET.jl

A code analyzer for Julia. No need for additional type annotations.

grafana / k6-operator

An operator for running distributed k6 tests.

morluto / flameox

Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.

usamahz / make-your-model-fast

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.