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CANNA: Neural network acceleration using configurable approximation on GPGPU.

, , , , and . ASP-DAC, page 682-689. IEEE, (2018)

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RAPIDNN: In-Memory Deep Neural Network Acceleration Framework., , , , , and . CoRR, (2018)SCRIMP: A General Stochastic Computing Architecture using ReRAM in-Memory Processing., , , , , , and . DATE, page 1598-1601. IEEE, (2020)Accelerating Hyperdimensional Computing on FPGAs by Exploiting Computational Reuse., , and . IEEE Trans. Computers, 69 (8): 1159-1171 (2020)Nvalt: Nonvolatile Approximate Lookup Table for GPU Acceleration., , and . IEEE Embed. Syst. Lett., 10 (1): 14-17 (2018)DOWELL: Diversity-Induced Optimally Weighted Ensemble Learner for Predictive Maintenance of Industrial Internet of Things Devices., , and . IEEE Internet Things J., 9 (4): 3125-3134 (2022)Reinforcement learning based reliability-aware routing in IoT networks., , , and . Ad Hoc Networks, (2022)Hardware-Software Co-design to Accelerate Neural Network Applications., , , and . ACM J. Emerg. Technol. Comput. Syst., 15 (2): 21:1-21:18 (2019)Streaming Encoding Algorithms for Scalable Hyperdimensional Computing., , , , , , , and . CoRR, (2022)A Theoretical Perspective on Hyperdimensional Computing., , and . J. Artif. Intell. Res., (2021)Improving Mean Time to Failure of IoT Networks with Reliability-Aware Routing., , , and . MECO, page 1-4. IEEE, (2021)