Instruction-level parallelism(ILP) is a family of processor and compiler design techniques that speed up execution by allowing individual machine operations. Explicitly Parallel Instruction computing (EPIC) processors evolved in an attempt to achieve high levels of ILP without the hardware complexity. In EPIC processors most of the functions to extract ILP are performed by the compiler. To take advantage higher level of ILP of these architectures, the ILP compiler must use aggressive ILP technique. This opportunity for improved performance comes at the price of increased compilation time.
As the size of the compilation unit is limited, the compilation time can be reduced. But the limited scope of compilation may restrict the scope of optimization. As a result, the compiler may generate less efficient quality of code. Ideally, we want to get smaller compilation time and the same or better execution time as that obtained using the global approach.
In this thesis, we address the problem of the compilation time and execution performance trade-off in region-based compilation within the context of the key optimization of register allocation. We demonstrate that schemes designed for region-based allocation perform as well as or even better than schemes designed for global based allocation while having smaller compilation time. To achieve this goal, we propose several innovative techniques which form the core of this thesis.
We show considerable compilation time savings with comparable execution time performance by synthesizing our techniques in a region-based register allocation. We also explore the relation between the performance of the register allocation and the region size and quantify it. Our research shows selecting the right size of region has the important impact to the performance of register allocation. We proposed the concept of restructuring the regions based on register pressure and discussed how we can estimate the register pressure in order to improve compilation time while maintaining the execution time.