Differential register allocation

• Authors: Xiaotong Zhuang;Santosh Pande
• Venue: Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
• Year: 2005

Micro-architecture designers are very cautious about expanding the number of architected registers (also the register field), because increasing the register field adds to the code size, raises I-cache and memory pressure, complicates processor pipeline. Especially for low-end processors, encoding space could be extremely limited due to area and power considerations. On the other hand, the number of architected registers exposed to the compiler could directly affect the effectiveness of compiler analysis and optimization. For high performance computers, register pressure can be higher than the available registers in some regions, e.g. due to optimizations like aggressive function inlining, software pipelining etc. The compiler cannot effectively perform compilation and optimization if only a small number of registers are exposed through the ISA. Therefore, it is crucial that more architected registers are available at the compiler's disposal without expanding the code size significantly.In this paper, we look at a new register encoding scheme called differential encoding that allows more registers to be addressed in the operand field of instructions than the direct encoding currently being used. We show it can be implemented with very low overhead. Based upon differential encoding, we apply it in several ways such that the extra architected registers can benefit the performance. Three schemes are devised to integrate differential encoding with register allocation. We demonstrate that differential register allocation is helpful in improving the performance of both high-end and low-end processors. Moreover, We can combine it with software pipelining to provide more registers and reduce spills.Our results show that differential encoding significantly reduces the number of spills and speeds up program execution. For a low-end configuration, we achieve over 12% speedup while keeping code size almost unaffected. For optimization on loops, it significantly speeds up loops with high register pressure (over 70% speedup).