SoPHy: A Software Platform for Hybrid Resource Management of Homogeneous Many-core Accelerators

Abstract

As demand of higher computing power is steadily increasing, it becomes popular to equip a many-core accelerator in a computer system to run current applications. Efficient management of compute resources in such a system is challenging because various factors such as workload variation, QoS requirement change, and hardware failure may cause dynamic change of system status. Recently a variety of resource management techniques for many-core accelerators have been proposed. They are usually tailored to a specific target architecture. In this paper, we propose a software platform, SoPHy, which supports various types of many-core architectures, based on a hybrid resource management technique. SoPHy has been implemented on two different many-core architectures: the Xeon Phi coprocessor and a NoC virtual prototype. Experimental results prove that SoPHy is capable of adapting to the runtime workload variation effectively with affordable overhead of runtime resource management.