Interactive Source-to-Source Optimizations Validated using Static Resource Analysis

Developments in hardware have delivered formidable computing power. Yet, the increased hardware complexity has made it a real challenge to develop software that exploits the hardware to its full potential. Numerous approaches have been explored to help programmers turn naive code into high-performance code, finely tuned for the targeted hardware. However, these approaches have inherent limitations, and it remains common practice for programmers seeking maximal performance to follow the tedious and error-prone route of writing optimized code by hand. This paper presents OptiTrust, an interactive source-to-source optimization framework that operates on generalpurpose C code. The programmer develops a script describing a series of code transformations. The framework provides continuous feedback in the form of human-readable diff s over conventional C code. OptiTrust supports advanced code transformations, including transformations exploited by the state-of-the-art DSL tools Halide and TVM, and transformations beyond the reach of existing tools. OptiTrust also supports user-defined transformations, as well as defining complex transformations by composition of simpler transformations. Crucially, to check the validity of code transformations, OptiTrust leverages a static resource analysis in a simplified form of Separation Logic. Starting from user-provided annotations on functions and loops, our analysis deduces precise resource usage throughout the code.