Abstract The shift toward parallel processor architectures has
made programming and code generation increasingly challenging.
To address this programmability challenge, this article presents
a technique to fully automatically generate efficient and
readable code for ...
%0 Journal Article
%1 Nugteren2014-mm
%A Nugteren, C
%A Corporaal, H
%D 2014
%I dl.acm.org
%J ACM Transactions on Architecture and Code
%K Algorithmic_species CUDA Code_generation Expose GPU Skeleton-based
%T Bones: an automatic skeleton-based C-to-CUDA compiler for
GPUs
%X Abstract The shift toward parallel processor architectures has
made programming and code generation increasingly challenging.
To address this programmability challenge, this article presents
a technique to fully automatically generate efficient and
readable code for ...
@article{Nugteren2014-mm,
abstract = {Abstract The shift toward parallel processor architectures has
made programming and code generation increasingly challenging.
To address this programmability challenge, this article presents
a technique to fully automatically generate efficient and
readable code for ...},
added-at = {2015-07-14T13:30:28.000+0200},
author = {Nugteren, C and Corporaal, H},
biburl = {https://www.bibsonomy.org/bibtex/2635afb7affa6eb9cc7457d7a6b400f21/christophv},
interhash = {a0db937ffd7a1bae20a71871e994c2bf},
intrahash = {635afb7affa6eb9cc7457d7a6b400f21},
journal = {ACM Transactions on Architecture and Code},
keywords = {Algorithmic_species CUDA Code_generation Expose GPU Skeleton-based},
publisher = {dl.acm.org},
timestamp = {2016-01-04T14:22:08.000+0100},
title = {Bones: an automatic skeleton-based {C-to-CUDA} compiler for
{GPUs}},
year = 2014
}