default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDApproximate Computing 2022
- Weiqiang Liu, Fabrizio Lombardi:
Approximate Computing. Springer International Publishing 2022, ISBN 978-3-030-98346-8 - Ke Chen, Weiqiang Liu, Fabrizio Lombardi:
Approximate Arithmetic Circuits: Design and Applications. 3-21 - Haroon Waris, Chenghua Wang, Weiqiang Liu:
An Automated Logic-Level Framework for Approximate Modular Arithmetic Circuits. 23-49 - Ying Wu, Chuangtao Chen, Chenyi Wen, Weikang Qian, Xunzhao Yin, Cheng Zhuo:
Approximate Multiplier Design for Energy Efficiency: From Circuit to Algorithm. 51-76 - Amir Sabbagh Molahosseini, Leonel Sousa, Azadeh Alsadat Emrani Zarandi, Hans Vandierendonck:
Low-Precision Floating-Point Formats: From General-Purpose to Application-Specific. 77-98 - You Wang, Hao Cai, Kaili Zhang, Bo Wu, Bo Liu, Deming Zhang, Weisheng Zhao:
Spintronic Solutions for Approximate Computing. 99-117 - Tingting Zhang
, Honglan Jiang, Weiqiang Liu, Fabrizio Lombardi, Leibo Liu, Seok-Bum Ko, Jie Han:
Majority Logic-Based Approximate Multipliers for Error-Tolerant Applications. 119-146 - Zhiyuan Xiang, Niyiqiu Liu, Yue Yao, Fan Yang, Cheng Zhuo, Weikang Qian:
Approximate Logic Synthesis for FPGA by Decomposition. 149-174 - Marzieh Vaeztourshizi, Hassan Afzali-Kusha, Mehdi Kamal, Massoud Pedram:
Design Techniques for Approximate Realization of Data-Flow Graphs. 175-206 - Qian Xu, Md Tanvir Arafin, Gang Qu:
Approximation on Data Flow Graph Execution for Energy Efficiency. 207-232 - Marcello Traiola, Bastien Deveautour, Alberto Bosio, Patrick Girard, Arnaud Virazel:
Test and Reliability of Approximate Hardware. 233-266 - Chongyan Gu, Yuqin Dou, Weiqiang Liu, Máire O'Neill:
Security Vulnerabilities and Countermeasures for Approximate Circuits. 269-286 - Md Tanvir Arafin, Qian Xu, Gang Qu:
Voltage Overscaling Techniques for Security Applications. 287-311 - Dur-e-Shahwar Kundi, Ayesha Khalid, Song Bian, Weiqiang Liu:
Approximate Computing for Cryptography. 313-331 - Qiaoyan Yu, Pruthvy Yellu, Landon Buell:
Towards Securing Approximate Computing Systems: Security Threats and Attack Mitigation. 333-361 - Sourav Sanyal, Shubham Negi, Anand Raghunathan, Kaushik Roy:
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspective. 365-395 - Hao Zhang, Mohammadreza Asadikouhanjani, Jie Han, Deivalakshmi Subbian, Seok-Bum Ko:
Approximate Computing for Efficient Neural Network Computation: A Survey. 397-427 - Georgios Zervakis, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel:
Enabling Efficient Inference of Convolutional Neural Networks via Approximation. 429-450 - Bo Liu, Hao Cai, Zhen Wang, Jun Yang:
Approximate Computing for Energy-Constrained DNN-Based Speech Recognition. 451-480 - Mohammadreza Asadikouhanjani, Hao Zhang, Kyunghwan Cho, Young-Jin Park, Seok-Bum Ko:
Efficient Approximate DNN Accelerators for Edge Devices: An Experimental Study. 481-508 - Zheyu Liu, Qin Li, Xinghua Yang, Fei Qiao:
Cross-Level Design of Approximate Computing for Continuous Perception System. 511-529 - Junqi Huang, Haider Abbas F. Almurib, Thulasiraman Nandha Kumar, Fabrizio Lombardi:
Approximate Computing in Image Compression and Denoising. 531-562 - Chuan Zhang, Huizheng Wang:
Approximate Computation for Baseband Processing. 563-594
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-10-31 20:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
