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New Power, Performance Options At The Edge


Increasing compute intelligence at the edge is forcing chip architects to rethink how computing gets partitioned and prioritized, and what kinds of processing elements and memory configurations work best for a particular application. Sending raw data to the cloud for processing is both time- and resource-intensive, and it's often unnecessary because most of the data collected by a growing nu... » read more

Computing Where Data Resides


Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Solving CSD Verification Challenges


To tackle power consumption and slow execution, modern computational storage devices (CSD) seek to reduce data movement by including a small processing element next to the CSD (figure 1). The data request from the host is executed locally by the processing element, data is locally manipulated, and the result sent back to the host. Much less data is exchanged between storage and host, thus savin... » read more