MRAM Research at VLSI 2018
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Transistor count and transistor density are often portrayed as technical achievements and milestones. Many vendors brag about the complexity of their design, as measured by transistor count. In reality, transistor count and density varies considerably based on the type of chip and especially the type of circuitry within the chip, and there is no...
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IBM presented a neural network accelerator at VLSI 2018 showcasing a variety of architectural techniques for machine learning, including a regular 2D array of small processing elements optimized for dataflow computation, reduced precision arithmetic, and explicitly addressed memories. The post IBM’s Machine Learning Accelerator at VLSI 2018...