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.