Migration based page caching algorithm for a hybrid main memory of DRAM and PRAM
Proceedings of the 2011 ACM Symposium on Applied Computing
Efficient page caching algorithm with prediction and migration for a hybrid main memory
ACM SIGAPP Applied Computing Review
GHOST: GPGPU-offloaded high performance storage I/O deduplication for primary storage system
Proceedings of the 2012 International Workshop on Programming Models and Applications for Multicores and Manycores
Efficient memory management of a hierarchical and a hybrid main memory for MN-MATE platform
Proceedings of the 2012 International Workshop on Programming Models and Applications for Multicores and Manycores
A dynamic adaptive converter and management for PRAM-based main memory
Microprocessors & Microsystems
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The advent of many core era breaks the performance wall but it causes severe energy consumption. NVRAM as a main memory can be a good solution to reduce energy consumption due to large size of DRAM. In this paper, we propose MN-MATE, a novel architecture and management techniques for resource allocation of a number of cores and large size of DRAM and NVRAM. In MN-MATE, a hyper visor partitions and allocates cores and memory for guest OSes dynamically. It is clear that optimized matching of heterogeneous cores, DRAM, and NVRAM enhances system performance. Selective locating of data in a main memory composed of DRAM and NVRAM significantly reduces energy consumptions. Preliminary results show that integration of dynamic resource partitioning and selective memory allocation scheme with MN-MATE reduces energy usage significantly and suppresses performance loss from NVRAM’s characteristics.