Software Component Metadata for Secure Memory Access Optimization
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Solution Overview
Problem
Existing software development processes lack efficient methods for optimizing memory access and enhancing security against side-channel attacks, particularly in complex development environments with varying hardware configurations and stringent safety and security requirements.
Innovation Solution
A method and device that utilize metainformation to supplement intermediate representations of software components, enabling backward- and forward-directed annotations, which facilitate efficient memory access and enhance resistance to side-channel attacks by providing domain-specific information to the development process, particularly in environments like the LLVM compiler system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If metainformation is provided to supplement intermediate representation, then memory access efficiency is improved and security is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces metainformation as an intermediary layer between the intermediate representation and the back-end processing components. This metainformation contains annotations about memory access patterns, security requirements, and optimization opportunities, allowing the system to make informed decisions without fundamentally changing the existing development environment architecture.
Solution Approach 2:
The patent applies preliminary action by providing metainformation upfront during the intermediate representation phase, before the actual compilation and code generation occurs. This allows optimization and security measures to be planned and integrated early in the development process, improving memory access efficiency and security without requiring complex runtime modifications.
2Productivity
If domain-specific information is provided for backward-directed annotation, then optimization capability is improved, but information processing complexity increases
Solution Approach 1:
The patent applies local quality by providing domain-specific metainformation targeted at specific regions or components of the intermediate representation where optimization is most beneficial. Rather than processing all information uniformly, the system focuses metainformation on critical sections such as memory-intensive operations or security-sensitive code paths, improving optimization capability while managing processing complexity.
Solution Approach 2:
The patent utilizes parameter changes by encoding optimization hints and security requirements as metadata parameters within the intermediate representation. These parameters can be adjusted and interpreted by the back-end to apply appropriate optimizations without requiring fundamental changes to the compilation pipeline, balancing optimization capability with processing complexity.
3Reliability
If forward-directed annotation is applied to supplement intermediate representation, then domain-specific processing is improved, but development process complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the metainformation into distinct categories such as forward-directed annotations, backward-directed annotations, memory access patterns, and security requirements. This segmentation allows each type of information to be processed independently by specialized components in the back-end, improving domain-specific processing quality while preventing any single component from becoming overly complex.
Data Source
AI summary
A method for processing data associated with a software component for a product. The method includes: providing metainformation associated with a back-end of a development environment for the software component, supplementing an intermediate representation, for example associated with the software component, based on the metainformation.