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STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage.

, , , , , и . CoRR, (2020)

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Siavash Momeni

Siavash Soleimanifard

Siavash Sohrab

Majid Rezaei

Golriz Rezaei

 

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UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation., , и . ReConFig, стр. 1-5. IEEE, (2019)In-storage Processing of I/O Intensive Applications on Computational Storage Drives., , , , , и . ISQED, стр. 1-6. IEEE, (2022)Scalable Multi-Queue Data Transfer Scheme for FPGA-Based Multi-Accelerators., , и . ICCD, стр. 374-380. IEEE Computer Society, (2018)Catalina: In-Storage Processing Acceleration for Scalable Big Data Analytics., , , , , и . PDP, стр. 430-437. IEEE, (2019)Computational storage: an efficient and scalable platform for big data and HPC applications., , , , , и . J. Big Data, (2019)HyperTune: Dynamic Hyperparameter Tuning for Efficient Distribution of DNN Training Over Heterogeneous Systems., , , , , и . ICCAD, стр. 88:1-88:8. IEEE, (2020)Ambient Pain Monitoring in Older Adults with Dementia to Improve Pain Management in Long-Term Care Facilities., , , , , и . ICMI Companion, стр. 352-353. ACM, (2020)Accelerating HPC Applications Using Computational Storage Devices., , , , , и . HPCC/SmartCity/DSS, стр. 1878-1885. IEEE, (2019)Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications., , , , , , , , , и 3 other автор(ы). ACM Trans. Storage, 16 (4): 21:1-21:37 (2020)STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage., , , , , и . CoRR, (2020)