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A computing platform, digital platform, [1] or software platform is the infrastructure on which software is executed. While the individual components of a computing platform may be obfuscated under layers of abstraction , the summation of the required components comprise the computing platform .
Some cross-platform software requires a separate build for each platform, but some can be directly run on any platform without special preparation, being written in an interpreted language or compiled to portable bytecode for which the interpreters or run-time packages are common or standard components of all supported platforms.
Software development (early, embedded), advanced debug for single and multicore software, compiler and other tool development, computer architecture research, hobbyist Depends on target architecture (full and slow hardware emulation for guests incompatible with host) [citation needed] Yes, with commercial license from Imperas [17] PikeOS: Yes
Application platform as a service (aPaaS) is a cloud computing service that offers development and deployment environments for application services. Information worker software lets users create and manage information, often for individual projects within a department, in contrast to enterprise management.
Cross-platform: GPL, proprietary Yes Yes No via plugins CodeLite: CodeLite: January 2023, 17.0 Cross-platform: GPL: Yes Yes No Git, SVN: Codelobster: Codelobster: 2.4 / September 11, 2023 Cross-platform: Proprietary: Yes Yes No via plugins Eclipse Che: Eclipse Foundation / Zend: 4.7 / September 2, 2016 Cross-platform: EPL: Yes Yes Yes Unknown ...
The host platform is always where the output artifacts from the compiler will be executed whether the output is another compiler or not. The target platform is used when cross-compiling cross compilers, it represents what type of object code the package will produce; otherwise the target platform setting is irrelevant. [2]
Porting such a program between two standards-compliant platforms (such as POSIX.1) can be just a matter of loading the source code and recompiling it on the new platform, but practitioners often find that various minor corrections are required, due to subtle platform differences. Most standards suffer from "gray areas" where differences in ...
Another difference between simulation and acceleration and emulation is a consequence of accelerators using hardware for implementation – they have only two logic states – acting the way the silicon will when fabricated. This implies: They are not useful for analyzing X-state initialization.