The predicted shift to non-volatile, byte-addressable memory (eg, Phase Change Memory
and Memristor), the growth of “big data”, and the subsequent emergence of frameworks such …

This paper presents a new cluster architecture for low-power data-intensive computing.
FAWN couples low-power embedded CPUs to small amounts of local flash storage, and …

Blockchain technology has attracted much attention due to the great success of the
cryptocurrencies. Owing to its immutability property and consensus protocol, blockchain …

Indexes are special purpose data structures, designed to facilitate and speed up the access
to the contents of a file. Indexing has been actively and extensively investigated in DBMSes …

Large flash disks, or solid state drives (SSDs), have become an attractive alternative to
magnetic hard disks, due to their high random read performance, low energy consumption …

Flash memories are in ubiquitous use for storage on sensor nodes, mobile devices, and
enterprise servers. However, they present significant challenges in designing tree indexes …

A unique merit of a solid-state drive (SSD) is its internal parallelism. In this article, we
present a set of comprehensive studies on understanding and exploiting internal parallelism …

Solid state drives perform random reads more than 100x faster than traditional magnetic
hard disks, while offering comparable sequential read and write bandwidth. Because of their …

Although flash storage has largely replaced hard disks in consumer class devices,
enterprise workloads pose unique challenges that have slowed adoption of flash …

We engineer a GPU implementation of a B-Tree that supports concurrent queries (point,
range, and successor) and updates (insertions and deletions). Our B-tree outperforms the …