Performance analysis of data compression algorithms for heterogeneous architecture through parallel approach

Mahammad, Farooq Sunar; Viswanatham, V. Madhu

doi:10.1007/s11227-018-2478-3

Cited by 12 publications

(18 citation statements)

References 9 publications

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“…After that, how to compress the video streaming will become a hot topic. Different from the rendering commandstreaming compression, there are many research papers [7,8] focus on this area. In this paper, we use FFmpeg 5 , a new video streaming compression algorithm, widely accepted by many famous companies including Bilibili 6 , as our video streaming compression algorithms.…”

Section: Video-streaming Compressiong Algorithmsmentioning

confidence: 99%

The research of streaming compression methods on cloud-rendering systems

Tang

2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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Section: Video-streaming Compressiong Algorithmsmentioning

confidence: 99%

The research of streaming compression methods on cloud-rendering systems

Tang

2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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“…Various energy efficient arithmetic circuits at low supply voltages and ultralow supply voltages have been proposed by various authors namely adder, multipliers, subtractor, divider and level shifter in the literature [14][15][16][17][18].…”

Section: International Journal Of Engineering Technology and Managemementioning

confidence: 99%

Low Power and Area Efficient 4-2 Compressor for Signal Processing Applications

S¹,

M²,

Shireesha³

2020

IJETMS

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In this paper, two performance metrics power and delay are estimated for various XOR-XNOR circuits and Multiplexer for designing 4-2 compressor. The main objective is to design an energy efficient compressor for computing applications in FIR filter. The simulations for the designed circuits performed in cadence virtuoso tool with 45 nm CMOS technology at a supply voltage of 0.9 Volts. The proposed 4-2 compressors consist of six blocks out of which two XOR-XNOR blocks and four MUX blocks. The average power, delay and energy consumed by the proposed compressor which is based on 5T XOR-XNOR and GDIMUX design is 85.72 nW, 62.53 pS and 5.36 aJ respectively

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“…Every day, there's a new story about a social media platform that's been hacked. About 50 million individuals had their information compromised recently on Facebook [12].…”

Section: Introductionmentioning

confidence: 99%

An Attempt at Detecting Fake Profiles Using Neural Networks

Kumar¹,

Manjulatha²,

Srivalli³

et al. 2023

Int. J. Res. Publ. Rev.

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Here, we use machine learning, in the form of an artificial neural network, to calculate the probability that a user's friend request on Face book is genuine/real or not. The relevant libraries and classes are also described. Further, we talk about the sigmoid function and how the weights are calculated and applied. In the end, we think about the most crucial aspects of the social network page to consider while implementing the proposed solution.

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Performance analysis of data compression algorithms for heterogeneous architecture through parallel approach

Cited by 12 publications

References 9 publications

The research of streaming compression methods on cloud-rendering systems

The research of streaming compression methods on cloud-rendering systems

Low Power and Area Efficient 4-2 Compressor for Signal Processing Applications

An Attempt at Detecting Fake Profiles Using Neural Networks

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