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Embedded Computing Design Article: A New Era Of Storage: Open Compute With RISC-V And Memory Fabrics

By February 22, 2018May 12th, 2021No Comments

In the last few years, we have witnessed a massive change in how data is generated, processed, and further leveraged to garner additional value and intelligence, all influenced by the emergence of new computational models based on deep learning and neural network applications. This profound change started in the data center where deep learning techniques were used to offer insights into vast data volumes, mostly to classify and/or recognize images, enable natural language or speech processing, or understand, generate, or successfully learn how to play complex strategy games. The change has also brought a wave of more power-efficient compute devices (based on GP-GPUs and FPGAs) created specifically for these classes of problems, and later included fully customized ASICs, further accelerating and increasing the compute capabilities of these deep learning-based systems.
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