Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the coming era of Big Data, hardware implementation of machine learning has become attractive for many applications, such as real-time object recognition and face recognition. The implementation of machine learning algorithms needs intensive memory access, and SRAM is critical for the overall performance.  proposes a new design of high speed SRAM for machine learning purposes. With fast access time (cycle time:  650 ps , access time:  350 ps ), low sensitivity to temperature variation and high configurability (less than 10% performance difference beten 125_rcw_tt vs 0_rcw_tt), the proposed SRAM is a better candidate for hardware machine learning system than the conventional SRAM. Compared with Samsung HL 152, our design has smaller size ( 121×43 um 2  vs 127×44 um 2  ) with half the number of pins ports ( 12 vs 25 ) and higher speed ( 2.2GHz vs 0.8GHz ).
['Chun Chen Liu', 'Yen-Hsiang Wang', 'Yilei Li', 'Chien-Heng Wong', 'Tien Pei Chou', 'Young-Kai Chen', 'M. Frank Chang']
I am writing a research paper on a idea Invited - A 2.2 GHz SRAM with high temperature variation immunity for deep learning application under 28nm
[{"from": "human", "value": "I am writing a research paper on a idea Invited - A 2.2 GHz SRAM with high temperature variation immunity for deep learning application under 28nm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the coming era of Big Data, hardware implementation of machine learning has become attractive for many applications, such as real-time object recognition and face recognition. The implementation of machine learning algorithms needs intensive memory access, and SRAM is critical for the overall performance.  proposes a new design of high speed SRAM for machine learning purposes. With fast access time (cycle time:  650 ps , access time:  350 ps ), low sensitivity to temperature variation and high configurability (less than 10% performance difference beten 125_rcw_tt vs 0_rcw_tt), the proposed SRAM is a better candidate for hardware machine learning system than the conventional SRAM. Compared with Samsung HL 152, our design has smaller size ( 121\u00d743 um 2  vs 127\u00d744 um 2  ) with half the number of pins ports ( 12 vs 25 ) and higher speed ( 2.2GHz vs 0.8GHz )."}]