Introduction

What is LOCI AI?

LOCI bridges this gap by modeling compiled binaries with real-world execution data, enabling it to:

• Predict performance impacts

• Detect degradations across software versions

• Identify power-hungry functions

• Optimize resource efficiency

• Provide test coverage references

• Enhance testing & validation

Supported Uploads:

• Upload ELF/binaries as a ZIP or TAR archive.

• Files must include symbol information for accurate results.

• ELF/binaries can be compiled from C, C++, or Go Lang.

Supported Architectures:

• ARMv8 64-bit (Timing reference based on ARM Cortex-A53 processor)

• Aurix TriCore processors (Timing reference based on Aurix TC399 processor)

• ARM Cortex-M4 (Timing reference based on ARM Cortex-M4 processor)