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 ...

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 ...

If you were hoping to get your hands on one of Nvidia’s “Grace” Arm-based CPUs, then you better be prepared to buy a pretty big machine. The Grace-Grace superchips, which have two CPUs on a package ...