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Implementing Scientific Simulations on GPU-accelerated Edge Devices.

, and . ICOIN, page 756-760. IEEE, (2020)

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An In-Memory VLSI Architecture for Convolutional Neural Networks., , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (3): 494-505 (2018)A 2.048 Mb/s Full-Duplex Free-Space Optical Transceiver IC for a Real-Time In Vivo Brain-Computer Interface Mouse Experiment Under Social Interaction., , , , , , , , , and 3 other author(s). IEEE J. Solid State Circuits, 52 (4): 1007-1020 (2017)Centralized management solution for vagrant in development environment., , and . IMCOM, page 37. ACM, (2017)Implementing Scientific Simulations on GPU-accelerated Edge Devices., and . ICOIN, page 756-760. IEEE, (2020)A 19.4-nJ/Decision, 364-K Decisions/s, In-Memory Random Forest Multi-Class Inference Accelerator., , , and . IEEE J. Solid State Circuits, 53 (7): 2126-2135 (2018)PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms., , , , , , , and . ISCA, page 43-56. IEEE Computer Society, (2018)A 2.048 Mb/s full-duplex free-space optical transceiver IC for a real-time in vivo neurofeedback mouse experiment under social interaction., , , , , , , , , and 3 other author(s). VLSI Circuits, page 1-2. IEEE, (2016)A Taste of Scientific Computing on the GPU-Accelerated Edge Device., and . IEEE Access, (2020)A waveform-controlled energy-recycling monophasic repetitive transcranial magnetic stimulation device., , and . BioCAS, page 1-4. IEEE, (2015)Work-in-Progress- - Is Virtual Reality Simulation Ineffective for Skill Acquisition Training?, , , and . iLRN, page 1-3. IEEE, (2021)