Shared memory is a state where every AI agent in a system draws from the same evolving understanding of a task, issue, or ...

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 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 ...

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 ...

What if your AI could remember not just what you told it five minutes ago, but also the intricate details of a project you started months back, or even adapt its memory to fit the shifting needs of a ...

The industry is impatient for disaggregated and shared memory for a lot of reasons, and many system architects don’t want to wait until PCI-Express 6.0 or 7.0 transports are in the field and the CXL 3 ...

Normally, when we look at a system, we think from the compute engines at a very fine detail and then work our way out across the intricacies of the nodes and then the interconnect and software stack ...