Dark Memory and Accelerator-Rich System Optimization in the Dark Silicon Era

Unlike traditional dark silicon works that attack the computing logic, this article puts a focus on the memory part, which dissipates most of the energy for memory-bound CPU applications. This article discusses the dark memory state and present Pareto curves for compute units, accelerators, and on-chip memory, and motivates the need for HW/SW codesign for parallelism and locality.