Microarchitectural mechanisms to exploit value structure in SIMT architectures

SIMT architectures improve performance and efficiency by exploiting control and memory-access structure across data-parallel threads. Value structure occurs when multiple threads operate on values that can be compactly encoded, e.g., by using a simple function of the thread index. We characterize the availability of control, memory-access, and value structure in typical kernels and observe ample amounts of value structure that is largely ignored by current SIMT architectures. We propose three microarchitectural mechanisms to exploit value structure based on compact affine execution of arithmetic, branch, and memory instructions. We explore these mechanisms within the context of traditional SIMT microarchitectures (GP-SIMT), found in general-purpose graphics processing units, as well as fine-grain SIMT microarchitectures (FG-SIMT), a SIMT variant appropriate for compute-focused data-parallel accelerators. Cycle-level modeling of a modern GP-SIMT system and a VLSI implementation of an eight-lane FG-SIMT execution engine are used to evaluate a range of application kernels. When compared to a baseline without compact affine execution, our approach can improve GP-SIMT cycle-level performance by 4-17% and can improve FG-SIMT absolute performance by 20-65% and energy efficiency up to 30% for a majority of the kernels.