IEEE Style Citation: N.R. Chauhan, M.S. Burange, “Multicore Heterogeneous Computing with OpenACC,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.92-97, 2014.
MLA Style Citation: N.R. Chauhan, M.S. Burange "Multicore Heterogeneous Computing with OpenACC." International Journal of Computer Sciences and Engineering 2.3 (2014): 92-97.
APA Style Citation: N.R. Chauhan, M.S. Burange, (2014). Multicore Heterogeneous Computing with OpenACC. International Journal of Computer Sciences and Engineering, 2(3), 92-97.
BibTex Style Citation:
@article{Chauhan_2014,
author = {N.R. Chauhan, M.S. Burange},
title = {Multicore Heterogeneous Computing with OpenACC},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2014},
volume = {2},
Issue = {3},
month = {3},
year = {2014},
issn = {2347-2693},
pages = {92-97},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=76},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=76
TI - Multicore Heterogeneous Computing with OpenACC
T2 - International Journal of Computer Sciences and Engineering
AU - N.R. Chauhan, M.S. Burange
PY - 2014
DA - 2014/03/30
PB - IJCSE, Indore, INDIA
SP - 92-97
IS - 3
VL - 2
SN - 2347-2693
ER -
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Abstract
OpenACC it is a standard programming language for programming heterogeneous computers built from CPUs, GPUs and DSP. It includes a framework of OpenAcc to define the platform in terms of a host (e.g. a CPU) and one or more graphical compute devices (e.g. a GPU) plus a C-based programming language for writing programs & for executing program for the computer devices. Using OpenAcc a programmer can write task-based programming and data-parallel programming that are use all the resources of the heterogeneous computer system. This will be a �future introduction to programming language� where we cover the ideas behind OpenAcc & other platforms. Thereby providing a pedagogically useful example that experienced heterogeneous computing programmers will need to quickly become productive & efficient OpenAcc programmer�s model. We can also show how these ideas are translated into source code & how they are executed in the given system. We will do this through a series of progressively more challenging examples for heterogeneous computing system.
Key-Words / Index Term
OpenAcc, Heterogeneous computing, HAS, OpenCL, CUDA
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