Using branch handling hardware to support profile-driven optimization

Abstract

Profile-based optimizations can be used for instruction scheduling, loop scheduling, data preloading, function in-lining, and instruction cache performance enhancement. However, these techniques have not been embraced by software vendors because programs instrumented for profiling run 2-30 times slower, an awkward compile-run-recompile sequence is required, and a test input suite must be collected and validated for each program. This paper proposes using existing branch handling hardware to generate profile information in real time. Techniques are presented for both one-level and two-level branch hardware organizations. The approach produces high accuracy with small slowdown in execution (0.4%-4.6%). This allows a program to be profiled while it is used, eliminating the need for a test input suite. This practically removes the inconvenience of profiling. With contemporary processors driven increasingly by compiler support, hardware-based profiling is important for high-performance systems.