关键词: 编译优化, 函数内联, 调用次数, 循环合并, 加速比

Abstract: Function inlining is a compile optimization technique, that is using the body of a function instead of the call site. LLVM’s original inline model considers the factor of the size of the function, but not considers the factor of execution frequency and potential optimization opportunities. In this paper, a new inline model, considers both execution frequency and potential optimization opportunities, proposed to avoid drawbacks of original inline model. The NFC model, can reduce consumption generated by calling more function calls, by inlining functions repeatedly called. The BLF model provides supports for the subsequent optimization for loop fusion, by inlining functions. In the experiment, function inlining optimization model proposed by this paper is effective. Average speedup ratio of test program is 1.52%.

Key words: compiler optimization, function inline, Number of Function be Called（NFC）, Benefit for Loop Fusion（BLF）, speedup