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《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
distributed-systems performance-engineering book gpu accelerator mixture-of-experts kv-cache ai-infra llm llm-serving llm-training llm-inference deepseek ai-infrastructure datacenter-network
Coz: Causal Profiling
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
performance-engineering parallelism neural-networks differential-equations gpu-computing numerical-methods lecture-notes neural-ode scientific-machine-learning neural-sde stiff-equations scientific-simulators sciml
Performance monitoring and benchmarking suite
c linux performance-engineering benchmarking lua assembly instrumentation x86 threading performance-analysis profiling hwloc pin armv8 likwid hardware-performance-counters nvidia-gpu power9 amd-gpu
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
performance-engineering arm performance cpu optimization inference simd benchmarks x86 awesome-list low-latency computer-architecture systems-programming edge-ai
A code analyzer for Julia. No need for additional type annotations.
An operator for running distributed k6 tests.
kubernetes performance-engineering performance load-testing kubernetes-operator hacktoberfest performance-testing kubernetes-operators distributed-testing
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
python debugging performance-engineering benchmarking performance profiler mcp developer-tools performance-analysis profiling dsh runtime-analysis cordis local-first coding-agents gpu-profiling model-context-protocol mcp-server performance-regression dsh-plugin
MLOS is a project to enable autotuning for systems.
infrastructure performance-engineering benchmarking data-science autotuning benchmarking-framework optimize-systems
A curated collection of publicly available resources on how companies around the world perform load testing
Production-grade k6 performance testing framework for smoke, load, stress, and soak tests with GitHub Actions, Docker, thresholds, custom metrics, safety guardrails, and machine-readable results.
docker performance-engineering load-testing test-automation stress-testing automation-framework observability performance-testing k6 smoke-testing automation-tools automation-testing automation-scripts github-actions qa-automation api-performance-testing soak-testing grafana-k6 k6-load-testing k6-performance-tests
Ultra-Fast Python Solutions: 110x Speed Optimization Guide 2026
performance-engineering benchmark optimization simd vliw take-home anthropic claude-opus claude-opus-4
An application-agnostic framework for automated performance testing and analysis.
Julia wrapper for the performance monitoring and benchmarking suite LIKWID.
A component render time benchmarking suite for React
🦗 Learn Locust from scratch 🐍
🔎 Rust TUI that finds & AI-fixes Lighthouse image issues (CLS, lazy loading, WebP, srcset) across your entire codebase in seconds.
rust performance-engineering performance web-performance ai frontend seo tui developer-tools image-optimization lighthouse performance-optimization google-lighthouse core-web-vitals ai-tools
A curated, opinionated collection of tools and resources dedicated to Performance Engineering, covering both Observability and Performance Testing.
devops performance-engineering performance awesome monitoring load-testing awesome-list sre observability performance-testing
Learn k6 Series
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
python testing performance-engineering performance tools utilities apache jmeter performance-testing jeval
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