Characterization of GPGPU workloads on a multidimensional heterogeneous processor

摘要

Systems with multiple forms of heterogeneity, including functional, performance, and dynamic heterogeneity, are now commercially available. The use and tuning of any of these options can impact other options and so it is important to understand their interactions. This work characterizes the power and performance implications of multiple dimensions of heterogeneity from a commercial multidimensional heterogeneous processor on commonly evaluated GPGPU workloads.