State of the art content creation, scientific and engineering visualization applications require the processing of big datasets, far larger than can be contained within the capacities of existing GPU memory. Current limitations require slices of data to be processed individually and later merged by software, and often incur significant latency for fetching additional data from system memory. These big data problems discourage developers in these domains from leveraging the advantages of the GPU. Radeon Pro SSG memory addresses the big data problem for GPUs, paving the way for improved performance and dramatically increased user productivity.
"One of the most challenging constraints faced by GPU computing applications is the inability to access terabytes of data," said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD. "Radeon Pro SSG is poised to not only speed-up processing for many applications with very large datasets, but also to enable new application experiences by utilizing data persistence of non-volatile memory. This will be a disruptive advancement for many graphics and compute applications."
"AMD has a long history of memory technology innovations, and Radeon Pro SSG is the latest example," said Patrick Moorhead, Founder and Principal Analyst, Moor Insights & Strategy. "Larger local memory on the graphics card can speed-up processing for many applications with very large datasets, and should also allow for results with finer granularity and resolution. This will be a notable advancement for many graphics and compute applications."
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Originally Posted by Hans de Vries
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