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School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
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Memory-centric architectures could revolutionize mass spectrometry search speeds, achieving over 100x acceleration and unprecedented energy efficiency gains.
p-MEM achieves over 1000 GSa/s/mm² throughput, drastically cutting down latency and energy use for probabilistic AI applications.