More cores are great for running more processes, but how can you make individual operations within a process faster? SIMD is one solution.
Intel
Benchmarking 32-bit Float vector dot-product calculations using Swift, NEON assembly, and Apple’s SIMD libraries, on Intel and M1 Macs.
What do you need to do before selling or giving away your Mac to someone else? Here’s a summary, covering all from Intel to M1 models.
WWDC this year again featured a session on notarization. Here’s a summary of its status in Big Sur, and details of what’s next.
What would happen to a Mac’s firmware if you installed Monterey beta to its internal or external disk? Could that be reversed?
Recovery on an M1 Mac runs from its own container, which should improve its robustness. It has one simple entry point, and offers a full range of facilities in an integrated environment. It’s a big step forward.
What you can learn about the processes running on your Mac, its processor cores, even the files which an app has open.
By segregating macOS background tasks on Efficiency cores, M1 Macs can run user apps unfettered on their Performance cores. And that feels really fast.
How the M1’s asymmetric cores can run background tasks more efficiently, or deliver high performance, according to Quality of Service.
M1 Macs may be as fast as greased lightning, but how good is their numerical accuracy? Can it match that of Intel processors?
The Eclectic Light Company 