Computational SSD's

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Publish Date: 
Sunday, March 10, 2019
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Two key trends are driving the need for computational SSDs. The first trend is the data-heavy nature of modern workloads. The best machine learning algorithms will perform poorly in the absence of large amounts of high quality data. Similarly, analytics weather video, log or database all require a massive amount of data. The second key trend is the diversity of compute workloads like machine learning, big data analytics, and streaming video in the modern datacenter, none of which are a great fit for the CPU instruction set. Scaling today’s infrastructure cost-effectively requires smart adaptive inline storage processing. This talk highlights the Computational SSD built on an adaptive and intelligent platform. We review Xilinx SDAccel platform and customer products across a broad range of applications such as data analytics and video processing that are driving innovation in the data-centric era.

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