Emerging non-volatile memory (NVM) technologies are of dynamic random access memory
(DRAM)-like, high capacity, and low cost, at the expense of slower bandwidth and higher …

Large-capacity memory system allows big data applications to load as much data as
possible for in-memory processing, which improves application performance. However …

Non-uniform memory access (NUMA) architectures feature asymmetrical memory access
latencies on different CPU nodes. Hybrid memory systems composed of non-volatile …

Non-volatile memories (NVMs) have the characteristics of both traditional storage systems
(persistent) and traditional memory systems (byte-addressable). However, they suffer from …

Non-volatile memories (NVMs) have aroused vast interest in hybrid memory systems due to
their promising features of byte-addressability, high storage density, low cost per byte, and …

Hybrid memory systems, comprised of emerging non-volatile memory (NVM) and DRAM,
have been proposed to address the growing memory demand of current mobile …

To process real-world datasets, modern data-parallel systems often require extremely large
amounts of memory, which are both costly and energy inefficient. Emerging non-volatile …

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace
dynamic random access memory (DRAM) as main memory. However, because of the …

Non-volatile memory (NVM) is a class of promising scalable memory technologies that can
potentially offer higher capacity than DRAM at the same cost point. Unfortunately, the access …

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace
DRAM as main memory. However, because of relatively high latency and low bandwidth of …