Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras
Technology Category/Market
Computer Science & Engineering – Compiler software, Self-stabilization Compilation
Applications – Programming Software, Application Software, System Software
Market – The Source Code Compiler Market was worth USD 656.7 million in 2022 and is expected to reach USD 1.3 billion by 2030, growing at an 8.6% CAGR from 2022 to 2030.
Targeted Industries
Watermarking IP design,
Electronic circuits
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Problem Statement
- Mainstream compilers perform multitude of optimizations and transformations.
- In the present era, the existing compiler frameworks need manual stabilization of abstractions which leads the optimization writer to take on additional burden of identifying various factors related to stabilization.
- In addition to this, the existing compilers face issues in ensuring correct stabilization during parallel language compilations which leads to incorrect and unsatisfactory results.
- Therefore, there is a need for requirement of a system and method for performing self-stabilizing compilation to address the above issues.
Technology
The method for self-stabilizing compilation comprises steps to perform one or more optimization operations on a plurality of abstractions of input program and stabilizing one or more of the plurality of abstractions by using other inter-related process, depicted in the flowchart shown in FIG 1.
Key Features/Value Proposition
- Self-stabilizing compiler framework eliminates manual stabilization process
- Easy to Extend: The compiler framework design is easily extended to any industry-level compiler frameworks (for example, LLVM compiler, Roslyn compiler, and so on).
- The compiler is more reliable output, secure while compilation process.
- The self-stabilizing compilation software has been tested on IMOP (IIT Madras OpenMP Compiler Framework) successfully.
- The compiler provides error-less processed output in less time compared to manual stabilization
- The performance of the compiler process is faster due to less memory consumption.
Questions about this Technology?
Contact for Licensing
Research lab
Prof: Krishna Nandivada
PACE Lab
Department of Computer Science and Engineering
Intellectual Property
IDF Ref: 2053
IN Patent No. 383458 (Granted)
PCT Application No. PCT/IN2021/051108
Technology Readiness Level
TRL- 3/4
Proof of Concept Ready & tested and validated in Laboratory stage.