Heterogeneous systems consisting of multiple CPUs and GPUs are increasingly attractive
as platforms for high performance computing. Such platforms are usually programmed using …

The work presented here is driven by two observations. First, heterogeneous architectures
that integrate a CPU and a GPU on the same chip are emerging, and hold much promise for …

We study and characterize the performance of operations in an important class of
applications on GPUs and Many Integrated Core (MIC) architectures. Our work is motivated …

Analysis of large pathology image datasets offers significant opportunities for the
investigation of disease morphology, but the resource requirements of analysis pipelines …

We address the problem of efficient execution of a computation pattern, referred to here as
the irregular wavefront propagation pattern (IWPP), on hybrid systems with multiple CPUs …

Similarity search in high-dimensional spaces is a pivotal operation for several database
applications, including online content-based multimedia services. With the increasing …

Triangle counting is a representative graph problem that shows the challenges of improving
graph algorithm performance using algorithmic techniques and adopting graph algorithms to …

The past decade has witnessed a major paradigm shift in high performance computing with
the introduction of accelerators as general purpose processors. These computing devices …

A trend that has materialized, and has given rise to much attention, is of the increasingly
heterogeneous computing platforms. Recently, it has become very common for a desktop or …

Clusters of GPUs have rapidly emerged as the means for achieving extreme-scale, cost-
effective, and powerefficient high performance computing. At the same time, high level APIs …