Non-relational database systems (NRDS) such as graph and key-value have gained
attention in various trending business and analytical application domains. However, while …

FPGA has been an emerging computing infrastructure in datacenters benefiting from fine-
grained parallelism, energy efficiency, and reconfigurability. Meanwhile, graph processing …

With the development of loT and edge computing, data analytics on edge has become
popular, and text analytics directly on compression (TADOC) has been proven to be a …

Graph dynamic random walks (GDRWs) have recently emerged as a powerful paradigm for
graph analytics and learning applications, including graph embedding and graph neural …

This paper presents a novel approach for accelerating the top-k heavy hitters query in data
streams using Field Programmable Gate Arrays (FPGAs). Current hardware acceleration …

Stream processing acceleration is driven by the continuously increasing volume and velocity
of data generated on the Web and the limitations of storage, computation, and power …

Database management systems are an integral part of today's everyday life. Trends like
smart applications, the internet of things, and business and social networks require …

This paper presents a novel approach for accelerating the top-k heavy hitters query in data
streams using Field Programmable Gate Arrays (FPGAs). Current hardware acceleration …