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LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning.
Clinic.js diagnoses your Node.js performance issues
Node Clinic is a suite of diagnostic tools for Node.js applications, designed to help developers identify and resolve performance issues, memory leaks, and other common problems in their code.
minimal monitor for JS Heap Size via performance.memory
memory-stats.js is a small JavaScript utility that displays page memory usage in a style similar to stats.js. It was inspired by mrdoob’s stats.js and originally came from work related to tquery before becoming a standalone repository. The tool helps developers monitor JavaScript memory behavior directly inside a web page during development or debugging. It works by creating a MemoryStats instance, adding its display element to the DOM, and updating it regularly with requestAnimationFrame....
Quite useful library for code diagnosis. As for now it can measure time of working for simple blocks of code, but features like loop or counters are developed.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
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