We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi-core/many-core CPU/GPU systems in Erlang. Lapedo's skeletons comprise a mixture of CPU and GPU components, allowing skeletons to be flexibly and dynamically mapped to available resources, with all of the low-level tedious code to divide work between CPUs and GPUs, transfer the data between the main and GPU memory and offload computations to the GPUs provided by the library. We evaluate the effectiveness of Lapedo on three realistic use cases from different domains, demonstrating significant improvements in speedups compared to CPU-only and GPU-only executions.</p
Today's society is increasingly software-driven and dependent on powerful computer technology. There...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
<p>We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous mu...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
This paper presents semi-automatic software refactorings to introduce and tune structured parallelis...
In this paper, we present a hybrid execution backend for the skeleton programming framework SkePU. T...
The trend in computer architectures has for several years been heterogeneous systems consisting of a...
In this paper, we present a hybrid execution backend for the skeleton programming framework SkePU. T...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
GPUs have been gaining popularity as general purpose parallel processors that deliver a performance ...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
Application development for modern high-performance systems with many cores, i.e., comprising multip...
Today's society is increasingly software-driven and dependent on powerful computer technology. There...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
<p>We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous mu...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
This paper presents semi-automatic software refactorings to introduce and tune structured parallelis...
In this paper, we present a hybrid execution backend for the skeleton programming framework SkePU. T...
The trend in computer architectures has for several years been heterogeneous systems consisting of a...
In this paper, we present a hybrid execution backend for the skeleton programming framework SkePU. T...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
GPUs have been gaining popularity as general purpose parallel processors that deliver a performance ...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
Application development for modern high-performance systems with many cores, i.e., comprising multip...
Today's society is increasingly software-driven and dependent on powerful computer technology. There...
It is well acknowledged that the dominant mechanism for scaling processor performance has become to ...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...