Resource Management of Manycores with a Hierarchical and a Hybrid Main Memory for MN-MATE Cloud Node

The advent of manycore in computing architecture causes severe energy consumption and memory wall problem. Emerging technologies such as on-chip DRAM and nonvolatile memory (NVRAM) receive attention as promising solutions for them. Nonvolatile memory is a viable DRAM replacement, achieving competitive performance at lower power consumption. On-chip DRAM extends the memory bandwidth. The confluence of these trends offers a new opportunity to rethink traditional computing system and memory hierarchies. In an attempt to mitigate the energy and memory wall, we propose MN-MATE, a novel architecture and management techniques for resource allocation of a number of cores, onchip DRAM, and large size of off-chip DRAM and NVRAM. In MN-MATE, each guest OS utilizes cores and various memories allocated by the hypervisor. Based on the knowledge about the allocated resources, a guest OS co-schedules tasks accessing different types of memory with complementary access intensity. Memory management system of the OS utilizes on-chip DRAM as a part of main memory having low latency. It also selects proper location of data from the three types of memory based on the data's access characteristics. Preliminary experimental results show that these techniques with the new architecture improve system performance and reduce energy consumption.