2016 conference paper
AnyCore: A synthesizable RTL model for exploring and fabricating adaptive superscalar cores
Ieee international symposium on performance analysis of systems and, 214–224.
Adaptive superscalar cores have the ability to dynamically adjust their execution resources to match the instruction-level parallelism (ILP) of different program phases. The goal of adaptivity is to maximize performance in as energy-efficient a manner as possible. This is achieved by disabling execution resources that contribute only marginally to performance for the code at hand. Researchers have proposed many adaptive features, including structures, superscalar width, and pipeline depth. The benefits of adaptivity are eroded by its circuit-level overheads. Unfortunately, circuit-level overheads cannot be effectively estimated or appreciated without a hardware design. To this end, we developed a register-transfer-level (RTL) design of a highly adaptive superscalar core, called AnyCore. AnyCore can be used to quantify logic overheads of an adaptive core with respect to fixed cores, synthesize and compare different adaptive cores, synthesize and compare an adaptive core to a multi-core comprised of multiple fixed core types, and fabricate adaptive superscalar cores. We provide examples of these use-cases.