Applications driving the use of multiple embedded DSPs, network-processing units, or graphics chips require extremely high throughput without compromising silicon area. Increasingly, SOC ...
Over the past couple of years, we’ve watched AI go from novelty to utility. Chatbots became copilots, copilots became workflows, and workflows are now inching toward something bigger: Agentic systems ...
The use of memory-heavy IP in SoCs for automotive, artificial intelligence (AI), and processor applications is steadily increasing. However, these memory-heavy IP often have only a single access point ...
If you want to know the difference between shared GPU memory and dedicated GPU memory, read this post. GPUs have become an integral part of modern-day computers. While initially designed to accelerate ...
SGI (SGI), the trusted leader in technical computing, today announced that NASA’s Ames Research Center has selected an SGI(R) UV(TM) 2000 shared memory system to support more than a thousand active ...
Why GPU memorymatters for CAD,viz and AI. Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when ...
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