In this paper, we present OmpSs, a programming model based on OpenMP and StarSs, that
can also incorporate the use of OpenCL or CUDA kernels. We evaluate the proposal on …

GPUs have recently attracted the attention of many application developers as commodity
data-parallel coprocessors. The newest generations of GPU architecture provide easier …

Heterogeneous multiprocessors are increasingly important in the multi-core era due to their
potential for high performance and energy efficiency. In order for software to fully realize this …

Heterogeneous architectures that integrate a mix of big and small cores are very attractive
because they can achieve high single-threaded performance while enabling high …

Computing systems are becoming increasingly parallel and heterogeneous, and therefore
new applications must be capable of exploiting parallelism in order to continue achieving …

In this paper we propose the Merge framework, a general purpose programming model for
heterogeneous multi-core systems. The Merge framework replaces current ad hoc …

Today's operating systems don't adequately handle the complexities of Multicore
processors. Architectural features confound existing OS techniques for task scheduling, load …

Graphics Processing Units (GPU) have been playing an important role in the general
purpose computing market recently. The common approach to program GPU today is to …

Exploiting heterogeneous parallel hardware currently requires map** application code to
multiple disparate programming models. Unfortunately, general-purpose programming …

A heterogeneous processor consists of cores that are asymmetric in performance and
functionality. Such a design provides a cost-effective solution for processor manufacturers to …