A Framework for Cross-Layer Approximations-Reference-Cited by-同舟云学术

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A Framework for Cross-Layer Approximations

Published:2022-10-25 Issue: Volume: Page:149-170
ISSN:
Container-title:Approximate Arithmetic Circuit Architectures for FPGA-based Systems
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Author:

Ullah Salim,Kumar Akash

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21294-9_6

Reference28 articles.

1. V.K. Chippa, D. Mohapatra, K. Roy, S.T. Chakradhar, A. Raghunathan, Scalable effort hardware design. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 22(9), 2004–2016 (2014)

2. P. Düben, Parishkrati, S. Yenugula, J. Augustine, K. Palem, J. Schlachter, C. Enz, T.N. Palmer, Opportunities for energy efficient computing: A study of inexact general purpose processors for high-performance and big-data applications, in 2015 DATE (2015), pp. 764–769

3. S. Ullah, S.S. Murthy, A. Kumar, SMApproxlib: Library of FPGA-based approximate multipliers, in 2018 DAC (IEEE, 2018), pp. 1–6

4. V. Mrazek, R. Hrbacek, Z. Vasicek, L. Sekanina, EvoApprox8b: Library of approximate adders and multipliers for circuit design and benchmarking of approximation methods, in Design, Automation Test in Europe Conference Exhibition (DATE), 2017 (2017), pp. 258–261

5. I. Goiri, R. Bianchini, S. Nagarakatte, T.D. Nguyen, ApproxHadoop: Bringing approximations to mapreduce frameworks. SIGPLAN Not 50(4), 383–397 (2015)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Layer Architectures for Enhancing Application-Specific Network Performance;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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