The SIMDe header-only library provides fast, portable implementations of SIMD intrinsics on hardware which doesn't natively support them, such as calling SSE functions on ARM. There is no performance penalty if the hardware supports the native implementation (e.g., SSE/AVX runs at full speed on x86, NEON on ARM, etc.). This makes porting code to other architectures much easier in a few key ways: F
Wuffs' goal is to produce software libraries that are as safe as Go or Rust, roughly speaking, but as fast as C, and that can be used anywhere C libraries are used. This includes very large C/C++ projects, such as popular web browsers and operating systems (using that term to include desktop and mobile user interfaces, not just the kernel). Wuffs the Library is available as transpiled C code. Othe
To build for release cd release make make check You get two libraries in release/lib libsupermalloc.so requires transactional memory (haswell) libsupermalloc_pthread.so uses pthread locks I plan to add a runtime check and have only one library and an enviroment variable in the future. ------ You should also build and check with the internal testing code enabled. It's a different library partly bec
Persistent Memory is RevolutionaryThis site brings the world of Persistent Memory (PMem) to a community of diverse skill levels from beginner to expert across many different job functions – Developers, Infrastructure, DevOps, CTO, and more. Start your journey Join the community What is Persistent Memory?The term persistent memory is used to describe technologies which allow programs to access data
NumPy/SciPy-compatible Array Library for GPU-accelerated Computing with Python High performance with GPU CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture. The figure shows CuPy speedup over NumPy. Most operations perform we
Compatibility with the C++ Standard Google has developed many abstractions that either match or closely match features incorporated into C++14, C++17, and beyond. Using the Abseil versions of these abstractions allows you to access these features now, even if your code is not yet ready for life in a post C++11 world.
function Counter() { const [value, setValue] = useState(0); return ( <> <div>Counter: {value}</div> <button onClick={() => setValue(value + 1)}>Increment</button> <button onClick={() => setValue(value - 1)}>Decrement</button> </> ) } Closer to the DOM Preact provides the thinnest possible Virtual DOM abstraction on top of the DOM. It builds on stable platform features, registers real event handler
import puppeteer from 'puppeteer'; (async () => { // Launch the browser and open a new blank page const browser = await puppeteer.launch(); const page = await browser.newPage(); // Navigate the page to a URL await page.goto('https://developer.chrome.com/'); // Set screen size await page.setViewport({width: 1080, height: 1024}); // Type into search box await page.type('.devsite-search-field', 'auto
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