Peng Liu

1 month ago | mdpi.com | Peng Liu |Chao Gao |Shuai Li |Xudong WANG

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Jan 24, 2025 | mdpi.com | Qi Yan |Weiyi Chen |Peng Liu

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Jan 16, 2025 | mdpi.com | Peng Liu |Yu Wang

1. IntroductionGeneral matrix multiplication (GEMM) is an indispensable computing pattern for most deep learning models, mainly used for multiplying input matrices with weight matrices [1,2], as shown in . Thus, it is essential for deep learning platforms, such as GPUs and TPUs, to accelerate GEMM efficiently [3]. However, these platforms consume significant energy, making them unsuitable for resource-constrained applications [4,5].

Jan 6, 2025 | mdpi.com | Peng Liu

7. Discussion and Future ResearchIn this section, we explore current approaches for improved usage and propose directions for future research, as outlined in . 7.1. Selection and Combination of Different Emulation ApproachesWith the rise of firmware emulation approaches, various solutions offer distinct advantages for different peripherals and application scenarios, affecting their performance and stability across test sets.

Jan 3, 2025 | pubs.rsc.org | Peng Liu

A fully integrated microfluidic cartridge for rapid and ultrasensitive nucleic acid detection from oropharyngeal swabs† Rapid and accurate molecular diagnostics are crucial for preventing the global spread of emerging infectious diseases.