SIMDGiraffe: Visualizing SIMD Functions

P. M. Ntang; D. Lemire

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Paper

SIMDGiraffe: Visualizing SIMD Functions

Topics: Information and Scientific Visualization; Software Visualization; Visual Representation and Interaction; Visualization Taxonomies and Models

In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISIGRAPP, 147-154, 2021

Authors: P. M. Ntang and D. Lemire

Affiliation: Université du Québec (T ÉLUQ), Montreal, Québec, Canada

Keyword(s): Software Visualization, SIMD Instructions, Vectorization.

Abstract: Many common processors offer advanced parallel-processing features to accelerate computations. In particular, most commodity processors support Single Instruction on Multiple Data (SIMD) instructions. Algorithms designed to benefit from these instructions can be several times faster than conventional algorithms. However, they can be difficult to understand, and therefore to review. We build SIMDGiraffe, a tool that can help visualize SIMD code written using the popular Intel intrinsics in C.

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Paper citation in several formats:

Ntang, P. and Lemire, D. (2021). SIMDGiraffe: Visualizing SIMD Functions. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 147-154. DOI: 10.5220/0010195201470154

@conference{ivapp21,
author={P. M. Ntang. and D. Lemire.},
title={SIMDGiraffe: Visualizing SIMD Functions},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={147-154},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010195201470154},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - SIMDGiraffe: Visualizing SIMD Functions
SN - 978-989-758-488-6
IS - 2184-4321
AU - Ntang, P.
AU - Lemire, D.
PY - 2021
SP - 147
EP - 154
DO - 10.5220/0010195201470154
PB - SciTePress