Node.js vs WebAssembly: Closing the Performance Gap

It's on - can Node.js really take down WebAssembly? I mean, Wasm is ridiculously fast, but I was curious to see if Node could keep up. So, I built a profiler for Node.js that's crazy efficient, with latency under 100 nanoseconds. That's impressive, considering native C++ profiling typically lives in the 5-40 nanosecond range. It's fast. But why? I learned that with the right optimizations and a solid grasp of Node.js, you can achieve some amazing results. So, I decided to test who could simulate 125,000 particles faster - Wasm or Node.js. Starting with basic JavaScript, the results were pretty clear: Wasm was about 3 times faster, with an average of 0.512ms. JavaScript objects, on the other hand, were... well, let's just say they weren't as speedy. But then I applied this optimization concept - flattening data into a linear array. It's like organizing your closet, you know? Everything's in its place, and it's way easier to find what you need. This makes memory access linear and cache-friendly, which is a total game-changer. I used typed arrays, and the results were surprising: Node.js was now much closer to Wasm, with an average of 0.684ms. And then I took it a step further - I split the work between four workers using SharedArrayBuffer. It's like having a team of experts working together to get the job done. The results were mind-blowing: JavaScript was now actually faster than Wasm, with an average of 0.400ms. That's times faster, if you're keeping track. So, what's the point? It's not that Wasm is slow - both can be optimized to be ridiculously fast. It's just that Node.js can be insanely fast too, once you know how to optimize it. The gap between "high-level" and "low-level" starts to look a lot smaller. And that's pretty exciting. Source: https://lnkd.in/g9YJFrT7 #Nodejs #WebAssembly #PerformanceOptimization #JavaScript #Innovation

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