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xDNN: Inference for Deep Convolutional Neural Networks.

, , , , , и . ACM Trans. Reconfigurable Technol. Syst., 15 (2): 18:1-18:29 (2022)

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Ashish Shah

Ashish Shrivastava

Ashish Choudhary

Ashish Malik

Ashish Bharadwaj

 

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MLPerf Inference Benchmark., , , , , , , , , и 37 other автор(ы). ISCA, стр. 446-459. IEEE, (2020)XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse., , , , , , , , , и 8 other автор(ы). MLSys, mlsys.org, (2023)Deep learning challenges and solutions with Xilinx FPGAs., , , и . ICCAD, стр. 908-913. IEEE, (2017)Precision medicine and FPGA technology: Challenges and opportunities., , , , , , и . MWSCAS, стр. 655-658. IEEE, (2017)Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module., , , , , , , и . ICML, OpenReview.net, (2024)Neural network pruning for biomedical image segmentation., , , и . Medical Imaging: Image-Guided Procedures, том 11598 из SPIE Proceedings, SPIE, (2021)Exploration and Tradeoffs of different Kernels in FPGA Deep Learning Applications., , и . ISPD, стр. 42-47. ACM, (2018)Towards Scale-Aware Full Surround Monodepth with Transformers., , , , , и . CoRR, (2024)xDNN: Inference for Deep Convolutional Neural Networks., , , , , и . ACM Trans. Reconfigurable Technol. Syst., 15 (2): 18:1-18:29 (2022)Neural network pruning and hardware acceleration., , , , и . UCC, стр. 440-445. IEEE, (2020)