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Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator.

, , , and . ACM Trans. Reconfigurable Technol. Syst., 17 (3): 38:1-38:30 (September 2024)

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RF Aerially Charging Scheduling for UAV Fleet : A Q-Learning Approach., , and . MSN, page 194-199. IEEE, (2019)Efficient SpMM Accelerator for Deep Learning: Sparkle and Its Automated Generator., , , and . ACM Trans. Reconfigurable Technol. Syst., 17 (3): 38:1-38:30 (September 2024)A blockchain-based and microservices-architected software composition analysis system., , , , , , , and . J. Softw. Evol. Process., (October 2024)SAPFIS: a parallel fuzzy inference system for air combat situation assessment., , , , and . J. Supercomput., 81 (1): 73 (January 2025)Evaluating Learning-to-Rank Models for Prioritizing Code Review Requests using Process Simulation., , , , , , and . SANER, page 461-472. IEEE, (2023)Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning., , , , , , and . ICCD, page 479-486. IEEE, (2022)Compressed LSTM using balanced sparsity., , , , , and . CBD, page 213-217. IEEE, (2021)Non-ideal Characteristics of Low-Cost Radio Transceivers in Wireless Sensor Networks., , , , , and . CWSN, volume 1321 of Communications in Computer and Information Science, page 84-97. Springer, (2020)Recurrent Neural Network Based Link Quality Prediction for Wireless Sensor Networks., , , , , , and . ICCCS, page 905-909. IEEE, (2021)DSIRBS : A Layer-wise Balanced DNN Weight Pruning Method., , , , and . ICMLC, page 146-151. ACM, (2023)