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Improve P300 Speller Performance by Changing Stimulus Onset Asynchrony (SOA) Without Retraining the Subject-Independent Model.

, , , , and . IEEE Access, (2019)

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System Virtualization for Neural Processing Units., , and . HotOS, page 80-86. ACM, (2023)V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness., , , and . ISCA, page 24:1-24:15. ACM, (2023)Improve P300 Speller Performance by Changing Stimulus Onset Asynchrony (SOA) Without Retraining the Subject-Independent Model., , , , and . IEEE Access, (2019)Does A Subject Independent Dynamic Stopping Model for P300 Speller Work on Different Flash Durations and Inter Stimulus Intervals?, , , , , and . EMBC, page 1935-1938. IEEE, (2018)IceClave: A Trusted Execution Environment for In-Storage Computing., , , , , , , , , and . MICRO, page 199-211. ACM, (2021)RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design., , , , , , , and . SOSP, page 182-199. ACM, (2023)Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms., , , and . CoRR, (2024)Scaling Deep Learning Computation over the Inter-Core Connected Intelligence Processor., , , , , , and . CoRR, (2024)G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations., , , , and . MICRO, page 395-410. ACM, (2023)