While FPGAs have seen prior use in database systems, in recent years interest in using
FPGA to accelerate databases has declined in both industry and academia for the following …

The explosion of digital data and the ever-growing need for fast data analysis have made in-
memory big-data processing in computer systems increasingly important. In particular, large …

Graphs are one of the key data structures for many real-world computing applications and
the importance of graph analytics is ever-growing. While existing software graph processing …

Non-volatile memory (NVM) as persistent memory is expected to substitute or complement
DRAM in memory hierarchy, due to the strengths of non-volatility, high density, and near …

Byte-addressable persistent memory (PM) brings hash tables the potential of low latency,
cheap persistence and instant recovery. The recent advent of Intel Optane DC Persistent …

Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Pointer chasing is a fundamental operation, used by many important data-intensive
applications (eg, databases, key-value stores, graph processing workloads) to traverse …

As user demand scales for intelligent personal assistants (IPAs) such as Apple's Siri,
Google's Google Now, and Microsoft's Cortana, we are approaching the computational limits …

Complex data queries, because of their need for random accesses, have proven to be slow
unless all the data can be accommodated in DRAM. There are many domains, such as …

Processing-in-memory (PIM) architectures cannot use traditional approaches to cache
coherence due to the high off-chip traffic consumed by coherence messages. We propose …