NFAs are cheaper to construct, but have a O(n*m) matching time, where n is the size of the input and m is the size of the state graph. NFAs are often seen as the reasonable middle ground, but i disagree and will argue that NFAs are worse than the other two. they are theoretically “linear”, but in practice they do not perform as well as DFAs (in the average case they are also much slower than backtracking). they spend the complexity in the wrong place - why would i want matching to be slow?! that’s where most of the time is spent. the problem is that m can be arbitrarily large, and putting a large constant of let’s say 1000 on top of n will make matching 1000x slower. just not acceptable for real workloads, the benchmarks speak for themselves here.
Intel's 'Darkmont' efficiency cores have received rather meaningful microarchitectural upgrades. Each core integrates a 64 KB L1 instruction cache, a broader fetch and decode pipeline, and a deeper out-of-order engine capable of tracking more in-flight operations. The number of execution ports has also been increased in a bid to improve both scalar and vector throughput under heavily threaded server workloads.
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Disadvantages of the Am386Compared to the Intel 386, there was no disadvantage to speak of with going AMD. The chips were fully compatible and interchangeable. While I’ve heard claims Intel chips were more reliable, I never saw it. I never saw a 386 or 486 CPU fail unless someone plugged it into its socket the wrong way around. Even then, sometimes the CPU survived.
lda #$c2 ; Adjust sprite patterns