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

In the field of HPC, the current hardware trend is to design multiprocessor architectures that
feature heterogeneous technologies such as specialized coprocessors (eg Cell/BE SPUs) or …

We propose a new set of OS abstractions to support GPUs and other accelerator devices as
first class computing resources. These new abstractions, collectively called the PTask API …

Node level heterogeneous architectures have become attractive during the last decade for
several reasons: compared to traditional symmetric CPUs, they offer high peak performance …

Computer systems increasingly rely on heterogeneity to achieve greater performance,
scalability and energy efficiency. Because heterogeneous systems typically comprise …

Parallel programming on SMP and multi-core architectures is hard. In this paper we present
a programming model for those environments based on automatic function level parallelism …

Programming models for multicore and many-core systems are listed as one of the main
challenges in the near future for computing research. These programming models should be …

Heterogeneous computing combines general purpose CPUs with accelerators to efficiently
execute both sequential control-intensive and data-parallel phases of applications. Existing …

We present OpenStream, a data-flow extension of OpenMP to express dynamic dependent
tasks. The language supports nested task creation, modular composition, variable and …

While multicore hardware has become ubiquitous, explicitly parallel programming models
and compiler techniques for exploiting parallelism on these systems have noticeably lagged …