Performance Analysis of WebAssembly vs. Native Code: Beyond Small Kernels
By
liminal
Baker's choice. Dense with flavour, light on filler.
Summary
This research paper analyzes the performance of WebAssembly compared to native code, challenging previous claims of near-parity performance. While earlier studies reported WebAssembly running only 10% slower than native code using small scientific kernels, this comprehensive analysis examines larger, more complex applications. The research finds that WebAssembly performance varies significantly depending on the application type and workload, with some applications showing much larger performance gaps than previously reported. The paper provides detailed benchmarks and analysis of WebAssembly's execution characteristics across different types of applications and workloads.
Key quotes
· 4 pulledA key goal of WebAssembly is performance parity with native code; previous work reports near parity, with many applications compiled to WebAssembly running on average 10% slower than native code.
However, this evaluation was limited to a suite of scientific kernels, each consisting of roughly 100 lines of code.
Running more substantial applications was not possible at the time due to limitations in WebAssembly tooling and browser support.
All major web browsers now support WebAssembly, a low-level bytecode intended to serve as a compilation target for code written in languages like C and C++.
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