UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 5
November-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1711228


Registration ID:
522938

Page Number

11-17

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Title

A Deep Dive into CUDA Architecture

Abstract

Over the last decade, GPUs have been extensively used to meet the computational needs for big data and machine learning applications. In this study we propose to study and review NVIDIA’s CUDA (Compute Unified Device Architecture) – a parallel computing library that provides APIs that allows varied applications to utilize the underlying GPU. This paper will discuss the CUDA model and improvements since CUDA 4.0 and how it compares to OpenCL. This graphic library enables compute intensive applications to leverage GPUs for parallel processing and this research explores the dominant performance of CUDA with GPUs using exploratory deep learning applications.

Key Words

GPU, NVIDIA, CUDA

Cite This Article

"A Deep Dive into CUDA Architecture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 5, page no.11-17, November-2017, Available :http://www.jetir.org/papers/JETIR1711228.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Deep Dive into CUDA Architecture", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 5, page no. pp11-17, November-2017, Available at : http://www.jetir.org/papers/JETIR1711228.pdf

Publication Details

Published Paper ID: JETIR1711228
Registration ID: 522938
Published In: Volume 4 | Issue 5 | Year November-2017
DOI (Digital Object Identifier):
Page No: 11-17
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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