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Mortar: Morphing the Bit Level Sparsity for General Purpose Deep Learning Acceleration.

, , , , and . ASP-DAC, page 739-744. ACM, (2023)

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Mobile Data Gathering and Charging in Wireless Rechargeable Sensor Networks., , , , and . CyberC, IEEE, (2018)Multimodal deep learning-based diagnostic model for BPPV., , , and . BMC Medical Informatics Decis. Mak., 24 (1): 82 (December 2024)HeadStart: Enforcing Optimal Inceptions in Pruning Deep Neural Networks for Efficient Inference on GPGPUs., , , and . DAC, page 23. ACM, (2019)Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration., , , , , , and . MICRO, page 963-976. ACM, (2021)Streamline Ring ORAM Accesses through Spatial and Temporal Optimization., , , , , , and . HPCA, page 14-25. IEEE, (2021)Mortar: Morphing the Bit Level Sparsity for General Purpose Deep Learning Acceleration., , , , and . ASP-DAC, page 739-744. ACM, (2023)BitX: Empower Versatile Inference with Hardware Runtime Pruning., , , , , , , and . ICPP, page 15:1-15:12. ACM, (2021)ShuttleNoC: Boosting on-chip communication efficiency by enabling localized power adaptation., , , , and . ASP-DAC, page 142-147. IEEE, (2015)Redeeming chip-level power efficiency by collaborative management of the computation and communication., , , and . ASP-DAC, page 376-381. ACM, (2019)When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices., , , , , and . ICCD, page 506-514. IEEE, (2019)