Futhark is a purely functional data-parallel array language that offers a machine-neutral
programming model and an optimising compiler that generates OpenCL code for GPUs …

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 …

Computers have become increasingly complex with the emergence of heterogeneous
hardware combining multicore CPUs and GPUs. These parallel systems exhibit tremendous …

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

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

General purpose GPU based systems are highly attractive as they give potentially massive
performance at little cost. Re-alizing such potential is challenging due to the complexity of …

Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each
device: the GPU handles data parallel work by taking advantage of its massive number of …

Languages such as OpenCL and CUDA offer a standard interface for general-purpose
programming of GPUs. However, with these languages, programmers must explicitly …

OpenCL has been designed to achieve functional portability across multi-core devices from
different vendors. However, the lack of a single cross-target optimizing compiler severely …

The performance of Graphic Processing Units (GPU) is sensitive to irregular memory
references. Some recent work shows the promise of data reorganization for eliminating non …