Search Results - "Weikang Qian"

The Promise and Challenge of Stochastic Computing by Alaghi, Armin, Qian, Weikang, Hayes, John P.

“…Stochastic computing (SC) is an unconventional method of computation that treats data as probabilities. Typically, each bit of an <inline-formula> <tex-math…”
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ALFANS: Multilevel Approximate Logic Synthesis Framework by Approximate Node Simplification by Wu, Yi, Qian, Weikang

“…Approximate computing is an emerging design paradigm targeting at error-tolerant applications. It trades off accuracy for improvement in hardware cost and…”
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PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability by Chen, Chuangtao, Qian, Weikang, Imani, Mohsen, Yin, Xunzhao, Zhuo, Cheng

“…Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes a piecewise-linearly-approximated…”
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Spatial effects on extreme precipitation in the coastal areas of southeastern China during the raining season by Qian, Weikang, Sun, Xun, Li, Chao

“…This study investigated the spatial effects of the extreme precipitation during the raining season in the perspective of tropical cyclone‐related (TCEP) and…”
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Stochastic Circuit Synthesis by Cube Assignment by Peng, Xuesong, Qian, Weikang

“…Stochastic computing (SC) is an unconventional computation paradigm, in which digital circuits are adopted to compute on stochastic bit streams. The value…”
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HEDALS: Highly Efficient Delay-Driven Approximate Logic Synthesis by Meng, Chang, Zhou, Zhuangzhuang, Yao, Yue, Huang, Shuyang, Chen, Yuhang, Qian, Weikang

“…Approximate computing is an emerging paradigm for error-tolerant applications. By introducing a reasonable amount of inaccuracy, both the area and delay of a…”
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An Efficient Method for Calculating the Error Statistics of Block-Based Approximate Adders by Wu, Yi, Li, You, Ge, Xiangxuan, Gao, Yuan, Qian, Weikang

“…Adders are key building blocks of many error-tolerant applications. Recently, a number of approximate adders were proposed. Many of them are block-based…”
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Computation on Stochastic Bit Streams Digital Image Processing Case Studies by Peng Li, Lilja, David J., Weikang Qian, Bazargan, Kia, Riedel, Marc D.

“…Maintaining the reliability of integrated circuits as transistor sizes continue to shrink to nanoscale dimensions is a significant looming challenge for the…”
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A Novel Heuristic Search Method for Two-Level Approximate Logic Synthesis by Su, Sanbao, Zou, Chen, Kong, Weijiang, Han, Jie, Qian, Weikang

“…Recently, much attention has been paid to approximate computing, a novel design paradigm for error-tolerant applications. It can significantly reduce area,…”
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An Architecture for Fault-Tolerant Computation with Stochastic Logic by Weikang Qian, Xin Li, Riedel, M D, Bazargan, K, Lilja, D J

“…Mounting concerns over variability, defects, and noise motivate a new approach for digital circuitry: stochastic logic, that is to say, logic that operates on…”
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Simultaneous Area and Latency Optimization for Stochastic Circuits by D Flip-Flop Insertion by Li, Zhijing, Chen, Zhao, Zhang, Yili, Huang, Zixin, Qian, Weikang

“…Stochastic computing (SC) is an unconventional computing technique using digital circuits. It performs arithmetic computation on stochastic bit streams (SBSs),…”
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Unary Coding and Variation-Aware Optimal Mapping Scheme for Reliable ReRAM-Based Neuromorphic Computing by Sun, Yanan, Ma, Chang, Li, Zhi, Zhao, Yilong, Jiang, Jiachen, Qian, Weikang, Yang, Rui, He, Zhezhi, Jiang, Li

“…Neural network (NN) computing contains a large number of multiply-and-accumulate (MAC) operations. The performance of NN accelerator is limited with the…”
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VECBEE: A Versatile Efficiency-Accuracy Configurable Batch Error Estimation Method for Greedy Approximate Logic Synthesis by Su, Sanbao, Meng, Chang, Yang, Fan, Shen, Xiaolong, Ni, Leibin, Wu, Wei, Wu, Zhihang, Zhao, Junfeng, Qian, Weikang

“…Approximate computing is an emerging strategy to improve the energy efficiency of many error-tolerant applications. To design an approximate circuit…”
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Energy-Efficient Nonvolatile SRAM Design Based on Resistive Switching Multi-Level Cells by Sun, Yanan, Gu, Jiawei, He, Weifeng, Wang, Qin, Jing, Naifeng, Mao, Zhigang, Qian, Weikang, Jiang, Li

“…A new nonvolatile static random access memory (nvSRAM) design based on the multi-level cell (MLC) characteristics of resistive RAMs (RRAMs) is presented in…”
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An efficient method for multi-level approximate logic synthesis under error rate constraint by Yi Wu, Weikang Qian

“…Approximate computing is an emerging design paradigm targeting at error-tolerant applications. It trades off accuracy for improvement in hardware cost and…”
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A new approximate adder with low relative error and correct sign calculation by Junjun Hu, Weikang Qian

“…Conventional precise adders need long delay and large power consumption to obtain accurate results. However, in recognition of the error tolerance of some…”
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From Multipliers to Integrators: a Survey of Stochastic Computing Primitives by Liu, Shanshan, Rossello, Josep L., Liu, Siting, Tang, Xiaochen, Font-Rossello, Joan, Frasser, Christian F., Qian, Weikang, Han, Jie, Reviriego, Pedro, Lombardi, Fabrizio

“…Stochastic Computing (SC) has the potential to dramatically improve important nanoscale circuit metrics, including area and power dissipation, for implementing…”
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AccALS: Accelerating Approximate Logic Synthesis by Selection of Multiple Local Approximate Changes by Wang, Xuan, Tao, Sijun, Zhu, Jingjing, Shi, Yiyu, Qian, Weikang

“…Approximate computing is an energy-efficient computing paradigm for error-tolerant applications. To automatically synthesize approximate circuits, many…”
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GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis by Lv, Chenyang, Wei, Ziling, Qian, Weikang, Ye, Junjie, Feng, Chang, He, Zhezhi

“…Logic synthesis (LS) is a process that transforms a high-level logic circuit description into a gate-level netlist, typically via a heuristic algorithm. Such a…”
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DASALS: Differentiable Architecture Search-Driven Approximate Logic Synthesis by Wang, Xuan, Yan, Zheyu, Meng, Chang, Shi, Yiyu, Qian, Weikang

“…Approximate computing is a promising computing paradigm for designing energy-efficient systems. To automatically generate approximate circuits, many local…”
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