Modern On-Line Data Intensive (OLDI) applications have evolved from monolithic systems to
instead comprise numerous, distributed microservices interacting via Remote Procedure …

Content-addressable memory (CAM) has been part of the memory market for more than five
decades. CAM can carry out a single clock cycle lookup based on the content rather than an …

We propose a novel edit distance-tolerant content addressable memory (EDAM) for energy-
efficient approximate search applications. Unlike state-of-the-art approximate search …

Running Internet of Things applications on general purpose processors results in a large
energy and performance overhead, due to the high cost of data movement. Processing in …

Quantum computers promise to solve hard mathematical problems such as integer
factorization and discrete logarithms in polynomial time, making standardized public-key …

This paper proposes a novel Hamming distance tolerant content-addressable memory (HD-
CAM) for energy-efficient in-memory approximate matching applications. HD-CAM exploits …

GIRAF is a General purpose In-storage Resistive Associative Framework based on resistive
content addressable memory (RCAM), which functions simultaneously as a storage and a …

In recent years, machine learning for visual object recognition has been applied to various
domains, eg, autonomous vehicle, heath diagnose, and home automation. However, the …

While cluster computing frameworks are continuously evolving to provide real-time data
analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics …

The sheer increase in the volume of data over the last decade has triggered research in
cluster computing frameworks that enable web enterprises to extract big insights from big …