In this paper, we review recent emerging theoretical and technological advances of artificial
intelligence (AI) in the big data settings. We conclude that integrating data-driven machine …

Processing a one trillion-edge graph has recently been demonstrated by distributed graph
engines running on clusters of tens to hundreds of nodes. In this paper, we employ a single …

Stochastic gradient descent (SGD) is one of the most popular numerical algorithms used in
machine learning and other domains. Since this is likely to continue for the foreseeable …

We reduce the cost of communication and synchronization in graph processing by analyzing
the fastest way to process graphs: pushing the updates to a shared state or pulling the …

Constrained shortest distance (CSD) querying is one of the fundamental graph query
primitives, which finds the shortest distance from an origin to a destination in a graph with a …

Next-generation non-volatile memories (NVMs) will provide byte addressability, persistence,
high density, and DRAM-like performance. They have the potential to benefit many …

This paper explores how fork-join parallelism, as supported by concurrency platforms such
as Cilk and OpenMP, can be embedded into a compiler's intermediate representation (IR) …

In the past decade, the smart phone evolution has accelerated the proliferation of the mobile
Internet and spurred a new wave of mobile applications, leading to an unprecedented …

Due to the growing need to process large graph and network datasets created by modern
applications, recent years have witnessed a surging interest in developing big graph …

JavaScript is a powerful scripting programming language that has gained a lot of attention
this past decade. Initially used exclusively for client-side web development, it has evolved to …