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And so, in order for this to matter, there must be: A performance difference, That can be measured, Where that measurable performance difference materially impacts your application. … concert with other improvement techniques, causes the performance requirement to succeed, as measured by your performance tests. …

You're probably not going to like this answer, but... Getting from four seconds to two seconds might require an architectural overhaul. Essentially, this is probably as fast as your Java Spring/Hiber …

Many potential performance concerns are not really a problem in practice. The issue you raise may be one of them. … But don't make that tradeoff unless you know you have a performance problem. …

Just off the top of my head: CPU performance is not the only thing that affects compile times. Benchmarks do not always take into account performance factors that affect real programs. … You have to consider other real-world factors that affect overall performance, like seek times on hard disks and the manner in which the code is written. …

Identify an actual performance problem that is causing a significant impact. Measure the actual performance, using a profiler or timers. … Optimize those areas where the improvement in performance exceeds the additional effort required. …

If I have a grid that usually returns 500 records, I assume that for each record it passes on all validations. If my entity has 5 setter validations, than I have passed in 2,500 validations. Only …

As a starting point... Sort their items by value divided by cost, in descending order. This gives you a list of their items with the most valuable items at the top. Select items from the top of this …

Make sure that your optimization is actually going to give you the performance benefit you are seeking, before you spend the time and money optimizing." …

Use a memory and performance profiler when you need to find out why your program is running too slow or using too much memory. … Further Reading Beginners Guide to Performance Profiling …

iterations in each level may seem benign, but that's 1 million total iterations, and if anything is happening in that inner loop that takes any significant amount of time, then there's going to be a performance … Only optimize when you're going to get a significant gain in performance. Where this happens isn't always going to be obvious. Whenever possible, optimize later. …

Performance is almost certainly a non-issue, since you can cache the values once they are read from the configuration file. …

If you're talking about the difference between 2 ticks and 3 ticks, it could simply be that, for a given execution, you started counting ticks early or late in a single tick cycle, and that the execut …

Let's have a look at the second claim. The JavaScript reactor pattern will always handle concurrency better than any multi-threaded application. To address this claim, I'm going to assume that concu …

Is there a difference in performance on the ALU level in comparisons between very large numbers vs very small ones? …

We already do; that's what multi-core processors are for. Part of highly-optimizing for speed is specialization. When you build processors that specialize in one thing, you can optimize for that one …