With the availability of commercial NVM devices such as Intel Optane DC PMM, it is time to
start thinking about applying the existing persistent data structures in practice. This paper …

Non-volatile main memory (NVRAM) technologies provide an attractive set of features for
large-scale graph analytics, including byte-addressability, low idle power, and improved …

Hybrid memory systems composed of DRAM and Non-Volatile Memory (NVM) promise the
capacity benefits of NVM and the low-latency benefits of DRAM. Most existing hash-based …

Non-volatile memory (NVRAM) based on phase-change memory (such as Optane DC
Persistent Memory Module) is making its way into Intel servers to address the needs of …

We propose a new framework called CachedArrays and a set of APIs to address the data
tiering problem in large scale heterogeneous and disaggregated memory systems. The …

In-memory Key-Value (KV) stores are widely deployed in modern data centers. These
systems generally use DRAM as their storage medium, causing huge hardware costs. The …

Emerging non-volatile memory technologies are driving the next generation of storage
systems and durable data structures. Among them, many hash table proposals employ NVM …

Byte-addressable persistent memory (PM) and DRAM-PM hybrid memory have been heavily
studied in the storage domain. Given the relative latency and bandwidth advantages of …

Memória persistente (PM) é uma tecnologia emergente que combina o acesso rápido aos
dados com endereçamento por byte, além de oferecer grande capacidade de …

The memory requirements of emerging applications, especially in the domain of machine
learning workloads, is outpacing the capacity of traditional memory devices like DRAM. At …