Academic literature on the topic 'Common sharing distributed arithmetic (CSDA)'

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Journal articles on the topic "Common sharing distributed arithmetic (CSDA)"

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Mrs., Daksha Amol Tawari*1 &. Prof. Nakul Nagpal2. "MPEG-4 PART 10/HEVC DCT ARCHITECTURE EFFICIENT INTEGER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 10 (2017): 340–45. https://doi.org/10.5281/zenodo.1012537.

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In this project we have proposed a low-cost high throughput multistandard transform (MST) core, which can support MPEG 1/2/4 (8 × 8), H.264 (8 × 8 &4 × 4), and Video Codecs VC-1 (8 × 8, 8 × 4, 4×8 & 4×4) transforms. Common sharing distributed arithmetic (CSDA) algorithm combines factor sharing and distributed arithmetic sharing techniques, to exploit the available resources on FPGAs, which incorporates pipelining and parallel processing of the input samples. With the help of this architecture the throughput of the design is increased. The main strategy is to reduce the nonzero elements
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Chen, Yuan-Ho, Jyun-Neng Chen, Tsin-Yuan Chang, and Chih-Wen Lu. "High-Throughput Multistandard Transform Core Supporting MPEG/H.264/VC-1 Using Common Sharing Distributed Arithmetic." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22, no. 3 (2014): 463–74. http://dx.doi.org/10.1109/tvlsi.2013.2251021.

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Sander, Jonas, Sebastian Berndt, Ida Bruhns, and Thomas Eisenbarth. "Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits." IACR Transactions on Cryptographic Hardware and Embedded Systems 2025, no. 1 (2024): 420–49. https://doi.org/10.46586/tches.v2025.i1.420-449.

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The adoption of machine learning solutions is rapidly increasing across all parts of society. As the models grow larger, both training and inference of machine learning models is increasingly outsourced, e.g. to cloud service providers. This means that potentially sensitive data is processed on untrusted platforms, which bears inherent data security and privacy risks. In this work, we investigate how to protect distributed machine learning systems, focusing on deep convolutional neural networks. The most common and best-performing mixed MPC approaches are based on HE, secret sharing, and garbl
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Angela, Mitt. "education human capital and economic growth in Nigeria." August 13, 2020. https://doi.org/10.5281/zenodo.3982749.

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<strong>Gyeongsang University Turnitin Trash Files</strong> <strong>HUMAN CAPITAL NEXUS AND GROWTH OF NIGERIA ECONOMY</strong> <strong>CHAPTER ONE</strong> <strong>INTRODUCTION</strong> <strong>Background to the Study </strong> Government expenditure equally known as public spending simply refers to yearly expenditure by the public sector (government) in order to achieve some macroeconomic aims notably high literacy rate, skilled manpower, high standard of living, poverty alleviation, national productivity growth, and macro-economic stability. It is also expenditure by public authorities at va
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Dissertations / Theses on the topic "Common sharing distributed arithmetic (CSDA)"

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Chen, Jyun-Neng, and 陳俊能. "A Low Cost High Throughput Architecture for Multi-standard Video Transforms Using Common Sharing Distributed Arithmetic." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/11680186234590639524.

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碩士<br>國立清華大學<br>電機工程學系<br>99<br>Video and image compression standards, such as MPEG-1/2/4, H.264, and VC-1, are widely used in video and image applications. In this thesis, the proposed low cost high throughput architecture for multi-standard transform using common sharing distributed arithmetic (CSDA) can support variable video compression standards. Moreover, the proposed architecture can process four transform types including 8 × 8, 4 × 4, 4 × 8,and 8 × 4 transforms. In this thesis, the proposed CSDA strategy can increase the circuit sharing capability among the coecients and reduce the num
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Conference papers on the topic "Common sharing distributed arithmetic (CSDA)"

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Yogapriya, M., and K. Sivanandam. "An multitransform architecture for MPEG/H.264/VC-1 using common sharing distributed arithmetic." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322908.

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