4.3 An Eight-Core 1.44GHz RISC-V Vector Machine in 16nm FinFET

Modern workloads, such as deep neural networks (DNNs), increasingly rely on dense arithmetic compute patterns that are ill-suited for general-purpose processors, leading to a rise in domain-specific compute accelerators [1]. Many of these workloads can benefit from varying precision during computation, e.g. different precisions among layers and between training and inference for DNNs has been shown to improve energy efficiency [2].