Before revision:  Meanwhile, the increasing demand for graphics processing units (GPUs) due to the recent rise in popularity of deep neural networks (DNNs) has opened doors for many new research problems. It is essential to consider DNNs as first-class citizens in a comprehensive benchmark suite. However, the main focus is usually limited to inference and model performance evaluation, which is not desirable for hardware architects studying for emerging platforms . Drawing inspiration from Rodinia and SHOC, Mirovia is a benchmark suite that is designed to take advantage of modern GPU architectures , while also representing a diverse set of application domains.
After revision:  Meanwhile, the increasing demand for graphics processing units (GPUs) due to the recent rise in popularity of deep neural networks (DNNs) , graph analytics, and crypto-currencies have emerged in production environments, stressing the hardware and software in ways that previous benchmarks did not anticipate . Drawing inspiration from Rodinia and SHOC, Mirovia is a benchmark suite that is designed to take advantage of modern GPU architectures , while also representing a diverse set of application domains.