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 ...
Nvidia DGX Spark’s tiny chassis hides extreme AI processing power that challenges traditional workstations and desktop setups ...
Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—”Despite continuing research into inter-GPU communication ...
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 ...
Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...
Applications driving the use of multiple embedded DSPs, network-processing units, or graphics chips require extremely high throughput without compromising silicon area. Increasingly, SOC ...
Using part of main memory for the display system's frame buffers, which temporarily hold the rendered content being sent to the screen. Shared memory is typically used in PCs with "integrated graphics ...
ATI Technologies, the three-dimensional graphics chipmaker, today announced HyperMemory, a technology that allows a PC to use system memory for graphics processing. HyperMemory uses the high-speed ...
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