WebAssembly: Yes, but for What?
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| Názov: | WebAssembly: Yes, but for What? |
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| Autori: | Wingo, Andy |
| Zdroj: | Communications of the ACM; Nov2025, Vol. 68 Issue 11, p50-54, 5p |
| Predmety: | SOURCE code, COMPILERS (Computer programs), BINARY codes, APPLICATION program interfaces, ARTIFICIAL intelligence, DATA security, CLOUD computing |
| Abstrakt: | WebAssembly (Wasm) has proven effective for porting large C and C++ desktop applications to the Web and embedding components such as file handlers, per-pixel processors, and libraries like SQLite. Its strengths lie in use cases that require strong isolation between program components, such as browser plug-ins, virtualization, or security-critical software, while traditional web languages like JavaScript and TypeScript remain better suited for user-facing interfaces. Wasm also shows promise in cloud and confidential computing due to its fast cold-start characteristics, minimal abstraction overhead, and robust memory-safety guarantees, suggesting potential applications in operating-system drivers, isolated modules, or artificial intelligence tasks that handle sensitive data. Overall, the platform’s pattern of success points to environments where isolation, security, and controlled execution are prioritized. |
| Databáza: | Complementary Index |
| Abstrakt: | WebAssembly (Wasm) has proven effective for porting large C and C++ desktop applications to the Web and embedding components such as file handlers, per-pixel processors, and libraries like SQLite. Its strengths lie in use cases that require strong isolation between program components, such as browser plug-ins, virtualization, or security-critical software, while traditional web languages like JavaScript and TypeScript remain better suited for user-facing interfaces. Wasm also shows promise in cloud and confidential computing due to its fast cold-start characteristics, minimal abstraction overhead, and robust memory-safety guarantees, suggesting potential applications in operating-system drivers, isolated modules, or artificial intelligence tasks that handle sensitive data. Overall, the platform’s pattern of success points to environments where isolation, security, and controlled execution are prioritized. |
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| ISSN: | 00010782 |
| DOI: | 10.1145/3769473 |
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