As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

Parallel machines are becoming more complex with increasing core counts and more
heterogeneous architectures. However, the commonly used parallel programming models …

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

Modern processors are evolving into hybrid, heterogeneous processors with both CPU and
GPU cores used for general purpose computation. Several languages such as Brook …

The Intel® Xeon Phi coprocessor platform has a new software stack that enables new
programming models. One such model is offload of computation from a host processor to a …

To accomplish frequent, simple tasks with high efficiency, it is necessary to leverage low-
power, microcontroller-like processors that are increasingly available on mobile systems …

Graphics Processing Units (GPUs) are increasingly becoming part of HPC clusters.
Nevertheless, cloud computing services and resource management frameworks targeting …

In this paper, we present the design and implementation of an Open Computing Language
(OpenCL) framework that targets heterogeneous accelerator multicore architectures with …

Architectural heterogeneity is increasing: numerous products and studies have proven the
benefits of combining cores and accelerators with varying ISAs into a single system …

In this paper, we describe a runtime to automatically enhance the performance of
applications running on heterogeneous platforms consisting of a multi-core (CPU) and a …