Key-value stores (KVSs) have found wide application in modern software systems. For
persistence, their data resides in slow secondary storage, which requires KVSs to employ …

Modern database systems for online analytical processing (OLAP) typically rely on in-
memory processing. Keeping all active data in DRAM severely limits the data capacity and …

Hash index, a fundamental component in many data management systems, can benefit from
the emerging persistent memory (PMem) to achieve high performance and instant recovery …

NVMe SSDs based on flash are cheap and offer high throughput. Combining several of
these devices into a single server enables 10 million I/O operations per second or more. Our …

Persistent memory's (PMem) byte-addressability and persistence at DRAM-like speed with
SSD-like capacity have the potential to cause a major performance shift in database storage …

Persistent memory (PMem) promised DRAM-like performance, byte addressability, and the
persistency guarantees of conventional block storage. With the release of Intel Optane …

Embedding models are effective for learning high-dimensional sparse data. Traditionally,
they are deployed in DRAM parameter servers (PS) for online inference access. However …

Solid-state drives (SSDs) have improved database system performance significantly due to
the higher bandwidth that they provide over traditional hard disk drives. Persistent memory …

Every database engine runs on top of an operating system in the host, strictly separated with
the storage. This more-than-half-century-old IHDE (In-Host-Database-Engine) architecture …

With full resource disaggregation on the horizon, it is unclear what the most suitable
programming model is that enables dataflow developers to fully harvest the potential that …