What Is Unified Memory?
Copying is slow and wastes memory capacity.
In traditional memory implementations, part of the RAM is reserved for the GPU.
Apple solved this problem with UMA, making memory allocation smoother and improving performance.
Why Does your rig Need Unified Memory?
The Unified Memory Architecture on Apples silicon introduces several changes to the memory system on the computer.
How Does Unified Memory Work?
In the case of general-purpose systems, the RAM connects to the CPU using sockets on the motherboard.
This connection limits the amount of data sent to the CPU.
Apple Silicon, on the other hand, uses the same substrate to house RAM and SoC.
An interposer is nothing more than a layer of silicon between theSoCand the RAM.
Because of this difference in connecting RAM to the chipset, it can access high data bandwidth.
As mentioned earlier, GPUs and CPUs have different memory pools in traditional setups.
Due to all these differences in memory architecture, unified memory systems provide SoCs with high data bandwidth.
How Much Unified Memory Do You Need?
Although Unified Memory Architecture has several advantages, it still has some drawbacks.
Also, the CPU, GPU, and Neural Engine get into the same memory pool.
As a result, the amount of memory required by the system increases dramatically.
