What Defines Ideal Parallelism in Modern Computing? or How Can We Achieve Ideal Parallelism in Real-W

lol chasing ideal parallelism is like trying to find a needle in a haystack... but the haystack is on fire.

Amdahl’s Law is a buzzkill, but Gustafson’s Law gives some hope—if you scale the problem size, you can get better results.

Check out CUDA for GPU parallelism. It’s not perfect, but it’s *fast* for the right tasks.

Also, ever heard of Rust’s Rayon? Makes parallel programming feel less painful.