Bytecode Parameter Encoding for VM Compiler Compatibility
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Solution Overview
Problem
Current blockchain and computing operations face challenges in correctly initiating, obtaining, or performing operations due to complexities in data structures, such as pointer type variables, and incompatibilities between virtual machines (VMs) and compilers, particularly with different word sizes, leading to erroneous parameter passing and system malfunctions.
Innovation Solution
A method involving bytecode compilation and execution, where input parameters are encoded and decoded using memory locations with pointers and data lengths, allowing correct passing and retrieval of parameters across VMs and compilers, even with complex data structures and different word sizes, ensuring smooth blockchain operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pointer type variables are used to store addresses of other variables, then data structure flexibility is improved, but address shifts occur during compilation that become too strenuous to reverse with increased complexity
Solution Approach 1:
The patent introduces an intermediary encoding function that acts as a mediator between the compiler and the virtual machine. This function encodes pointer addresses into a format that can be safely transmitted through bytecode, preventing direct address shifts from causing unreversible complexity. The intermediary encoding layer translates complex address relationships into a manageable format that maintains flexibility while avoiding the address reversal problem.
2Quantity of substance
If VMs use 32-bit word size while compilers run at 64-bit, then VM resource consumption is reduced, but memory address assignment compatibility deteriorates
Solution Approach 1:
The patent applies parameter changes by modifying how addresses are represented and transmitted. Instead of using raw 64-bit addresses from the compiler, the system encodes these addresses into a format suitable for 32-bit VMs. This parameter transformation allows the same memory addressing functionality to work across different word sizes, maintaining compatibility while preserving the resource efficiency of 32-bit VMs.
3Adaptability or versatility
If complex nested parameters with complex data structures are used, then functionality expressiveness is improved, but parameter passing and retrieval become erroneous
Solution Approach 1:
The patent implements preliminary action by encoding parameters before they are passed to the virtual machine. The encoding function is executed in advance during compilation, transforming complex nested parameters into a safe bytecode format. This preliminary encoding prevents errors during parameter passing and retrieval, ensuring reliability while maintaining the ability to express complex functionality through the encoded parameter structures.
Data Source
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AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data processing are provided. One of the methods includes: obtaining a bytecode compiled from source code comprising one or more input parameters, the source code including an encoding function to encode the one or more input parameters, save the encoded one or more input parameters in a memory segment, and provide a memory location of the memory segment; executing, according to the bytecode, the encoding function to encode the one or more input parameters to obtain the memory location of the memory segment storing the encoded one or more input parameters; and providing the memory location to a function for retrieving and decoding the encoded one or more input parameters to obtain the one or more input parameters.