With the rapid growth of classification scale in deep learning systems, the final classification
layer becomes extreme classification with a memory footprint exceeding the main memory …

DRAM scalability is becoming a limiting factor to the available memory capacity in consumer
devices. As a potential solution, manufacturers have introduced emerging non-volatile …

Solid-state drives (SSDs) are extensively used to deploy persistent data stores, as they
provide low latency random access, high write throughput, high data density, and low cost …

Persistent or Non Volatile Memory (PMEM) offers expanded memory capacity and faster
access to persistent storage. However, there is no comprehensive empirical analysis of …

Disaggregated memory has been gaining significant traction as a promising solution for
scaling memory capacity and better utilizing memory resources in data centers. However, a …

Intel Optane technology is a cost-effective solution to create large non-volatile memory
pools, which is attractive to many scientific applications. Last year Intel® OptaneTM DC …

In our information-driven societies, full-text search is ubiquitous. Search is memory-
intensive. Quickly searching massive corpora requires building indices, which consumes big …

The number and diversity of consumer devices are growing rapidly, alongside their target
applications' memory consumption. Unfortunately, DRAM scalability is becoming a limiting …

As the amount of data produced in society continues to grow at an exponential rate, modern
applications are incurring significant performance and energy penalties due to high data …

Log-structured merge tree (LSM-tree) has been widely adopted by modern key-value stores.
Deploying LSM-tree across heterogeneous SSD storage which combines the fast but …