> GPUs only speak in objects, never linear addresses. Shared Virtual Memory is literally "GPU sees X region the same as the CPU sees it". And is implemented on

> GPUs only speak in objects, never linear addresses. Shared Virtual Memory is literally "GPU sees X region the same as the CPU sees it". And is implemented on all desktop GPUs today: https://www.intel.com/content/www/us/en/developer/articles/technical/opencl-20-shared-virtual-memory-overview.html https://www.intel.com/content/www/us/en/developer/articles/t... By making pointers treated the same on CPU or GPU (by allowing their 64-address spaces to be identical by sharing the same memory regions + using PCIe to keep those memory regions in sync), you can perform high-speed CPU / GPU communications of even linked data structures (linked lists, trees, graphs). GPUs utilize many linked data-structures. Oct-trees accelerate bounds testing, BVH trees help raytracing. Etc. etc. The GPU addresses must be linear because they're synchronized to the CPU's memory space.