<p>We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi-core/many-core CPU/GPU sys- tems in Erlang. Lapedo’s hybrid skeletons comprise a mixture of CPU and GPU components, allowing skeletons to be flexibly and dynamically mapped to available resources. We also describe a model for deriving near-optimal division of work between CPUs and GPUs, ensuring load balancing between resources. Finally, we evaluate the effectiveness of Lapedo on three realistic use cases from different domains, demonstrat- ing significant speedups compared to executing the same application on only CPU cores or a GPU </p
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Hybrid computer systems combine compute units (CUs) of different nature like CPUs, GPUs and FPGAs. S...
Application development for modern high-performance systems with many cores, i.e., comprising multip...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
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...
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...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
GPUs have been gaining popularity as general purpose parallel processors that deliver a performance ...
Today's society is increasingly software-driven and dependent on powerful computer technology. There...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Hybrid computer systems combine compute units (CUs) of different nature like CPUs, GPUs and FPGAs. S...
Application development for modern high-performance systems with many cores, i.e., comprising multip...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi...
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...
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...
The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
We present the third generation of the C++-based open-source skeleton programming framework SkePU. I...
GPUs have been gaining popularity as general purpose parallel processors that deliver a performance ...
Today's society is increasingly software-driven and dependent on powerful computer technology. There...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
Hybrid computer systems combine compute units (CUs) of different nature like CPUs, GPUs and FPGAs. S...
Application development for modern high-performance systems with many cores, i.e., comprising multip...