Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Due to the overwhelming technical advantages of having on-chip memories, embedded memories are ubiquitous in most chip designs, and can comprise significant portions of a chip (upwards of 50%, ...