Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

Computer vision and image processing algorithms form essential components of many
industrial, medical, commercial, and research-related applications. Modern imaging systems …

The rapid growth of data size and accessibility in recent years has instigated a shift of
philosophy in algorithm design for artificial intelligence. Instead of engineering algorithms by …

General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block for
numerous applications such as algebraic multigrid method, breadth first search and shortest …

Query co-processing on graphics processors (GPUs) has become an effective means to
improve the performance of main memory databases. However, the relatively low bandwidth …

Recent developments in radiotherapy therapy demand high computation powers to solve
challenging problems in a timely fashion in a clinical environment. The graphics processing …

General sparse matrix–matrix multiplication (SpGEMM) is a fundamental building block for
numerous applications such as algebraic multigrid method (AMG), breadth first search and …

Heterogeneous many-cores are now an integral part of modern computing systems ranging
from embedding systems to supercomputers. While heterogeneous many-core design offers …

Drug screening is an important part of the drug development pipeline for the pharmaceutical
industry. Traditional, lab-based methods are increasingly being augmented with …

This paper presents new software that takes advantage of modern graphics processing units
(GPUs) to significantly expedite two-dimensional shallow-flow simulations when compared …