Array streaming for array programming

Mads R. B. Kristensen; James E. Avery

doi:10.1504/IJCSE.2018.095848

Array streaming for array programming

Mads R. B. Kristensen, James E. Avery

X-ray and Neutron Science

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Originalsprog	Engelsk
Tidsskrift	International Journal of Computational Science and Engineering
Vol/bind	17
Udgave nummer	3
Sider (fra-til)	263-282
ISSN	1742-7185
DOI	https://doi.org/10.1504/IJCSE.2018.095848
Status	Udgivet - 1 feb. 2018

Adgang til dokumentet

10.1504/IJCSE.2018.095848

Citationsformater

@article{008871fefa6145e6922d6b53a243795b,

title = "Array streaming for array programming",

keywords = "JIT-compilation, high-productivity, Python, OpenCL, OpenMP, Bohrium, Numpy, Numba, Cython, GP-GPU",

author = "Kristensen, {Mads R. B.} and Avery, {James E.}",

year = "2018",

month = feb,

day = "1",

doi = "10.1504/IJCSE.2018.095848",

language = "English",

volume = "17",

pages = "263--282",

journal = "International Journal of Computational Science and Engineering",

issn = "1742-7185",

publisher = "Inderscience Enterprises Ltd.",

number = "3",

}

TY - JOUR

T1 - Array streaming for array programming

AU - Kristensen, Mads R. B.

AU - Avery, James E.

PY - 2018/2/1

Y1 - 2018/2/1

KW - JIT-compilation

KW - high-productivity

KW - Python

KW - OpenCL

KW - OpenMP

KW - Bohrium

KW - Numpy

KW - Numba

KW - Cython

KW - GP-GPU

U2 - 10.1504/IJCSE.2018.095848

DO - 10.1504/IJCSE.2018.095848

M3 - Journal article

VL - 17

SP - 263

EP - 282

JO - International Journal of Computational Science and Engineering

JF - International Journal of Computational Science and Engineering

SN - 1742-7185

IS - 3

ER -