JavaScript Intermediate Representation for Cross-Device Execution
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Solution Overview
Problem
Interpreted programming languages like JavaScript execute slowly at runtime due to interpretation, whereas compiled languages execute faster since they generate machine code beforehand, leading to a performance gap.
Innovation Solution
Converting JavaScript code into an intermediate representation, caching it, and generating device-specific machine code upon synchronization, allowing for pre-compilation and efficient execution on various devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If JavaScript code is executed by interpretation at runtime, then the code can be easily written and deployed, but the execution speed is slow
Solution Approach 1:
The patent applies pre-compilation by converting JavaScript code into device-independent intermediate representation before runtime execution. This preliminary action transforms the code into an optimized form that can be efficiently executed on target devices, resolving the contradiction between ease of deployment and execution speed by preparing the code in advance without requiring full compilation to machine code.
2Speed
If JavaScript code is precompiled to machine code, then execution speed improves, but the code becomes device-specific and less adaptable
Solution Approach 1:
The patent introduces a device-independent intermediate representation as an intermediary between JavaScript source code and device-specific machine code. This intermediate form preserves execution speed benefits of pre-compilation while maintaining adaptability, as it can be efficiently executed on various devices without requiring full machine code compilation for each specific device architecture.
3Productivity
If device-specific machine code is generated for each device, then execution is optimized for that device, but the complexity of code management increases
Solution Approach 1:
The patent creates a universal device-independent intermediate representation that can serve multiple devices simultaneously. This single intermediate form can be executed on various device types without requiring separate machine code versions, reducing code management complexity while maintaining execution efficiency through pre-compilation optimization.
Data Source
AI summary
A device-independent intermediate representation of a source code is generated and stored, e.g., in a memory or other storage mechanism. The stored intermediate representation of the source code is used to generate a device-specific machine code corresponding to the source code. The stored intermediate representation may be updated, e.g., periodically, for example by obtaining an updated version of the source code and compiling the updated source code to generate an updated intermediate representation. The stored intermediate representation may be based on source code received from a device that is synchronized with which a compiling device that generates the device-specific machine code. In some cases, the stored intermediate representation may be used to generate for each of a plurality of devices a corresponding device-specific machine code.


