A Comparison of Software Code Reordering and Victim Buffers

Instruction cache performance is critical to instruction fetch efficiency and overall processor performance. The layout of an executable has a substantial effect on the cache miss rate during execution. This means that the performance of an executable can be improved significantly by applying a codeplacement algorithm that minimizes instruction cache conflicts. Alternatively, the hardware configuration of the instruction cache itself may greatly influence cache performance. For instance, increasing associativity or selective placement of data in the cache may significantly reduce conflict misses as well. In this paper we compare the performance benefits of compiler-based code-placement algorithms to hardwarebased schemes using a full simulation model of an out-oforder, 4-way issue processor. We compare the effectiveness of code-placement algorithms when applied to self-trained and cross referenced profiling data. We compare the benefits of adding small fully associative buffers, includ..