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Connect and share knowledge within drafting table hinges hardware optimization single location that is structured and easy to search. I ran into some slow downs Hinges Hardware Cape Town Video on a tight loop today caused by an If statement, which surprised me some because I expected branch prediction to successfully pipeline the particular statement to minimize the cost of the conditional.

When I sat down to think more drafting table hinges hardware optimization why it wasn't better handled I realized I didn't know much about how branch prediction was being handled drafying all.

I know the concept of branch prediction quite well and drafting table hinges hardware optimization benefits, but the problem is that I didn't know who was implementing it and what approach they were utilizing for predicting the outcome of a conditional. However, because optimization can be done in many areas I'm left uncertain as to how to anticipate branch prediction. If I'm writing in Java, for example, is my conditional optimized when compiled, when interpreted, optimizqtion by the hardware after interpretation!?

More interesting, does this mean if someone uses a different runtime enviroment? Could a different branch prediction algorithm used in a different interpreter draftijg in a tight loop based around a conditional showing significant different performance depending on which interpreter it's run with? Thus my question, how does one generalize an optimization around branch prediction if the software could be run on very different computers which may mean different branch prediction?

If the hardware and interpreter could change their approach then profiling and using whichever approach proved fastest isn't a guarantee. Are there certain presumptions that are generally safe to make regardless of interpreter used?

Does one have to dive into the intricate specification of a language to make any meaningful presumption about branch prediction? To help improve the performance of the branch predictor try to structure your program so that conditional statements drafting table hinges hardware optimization depend on apparently random data.

One of the other answers to this question claims:. There is no way to do anything at the high level language to optimize for branch prediction, caching sure, sometimes you can, but branch prediction, no not at all. However, this is simply not true. Harsware drafting table hinges hardware optimization illustration of this fact comes drafting table hinges hardware optimization one of the most famous questions on Stack Overflow.

When writing code in a high-level language it's typically not necessary for an application programmer to worry about optimizarion to optimizing conditional branches.

But even if an application programmer is certain tavle know the typical outcome of a specific branch it's usually not necessary to use the annotation. In a hot loop using this directive is unlikely to help improve dfafting.

If the branch really is strongly biased the the predictor will be able to correctly predict the outcome most of drating Rockler Hinges Cabinet Hardware Optimization time even without the programmer annotation. So as a micro-optimization, trying to improve branch prediction accuracy is probably not something that an application programmer would want to focus on.

Typically the compiler is going to do a better job of generating optimal code that works for the specific hardware platform it is targeting. But branch predictors rely on identifying patterns, and if an application is written in such a way that patterns don't exist, then the branch predictor will perform poorly.

If the application can be modified so that there is a pattern then the branch predictor has a chance to draftijg better.

And that is something you might be able to consider at the level of a high-level language, if you find a situation where a branch really is being poorly predicted.

Often not even within one architecture and implementation from the high level language. For as much as I like to preach and do optimizations at the high level language level, branch prediction is one that falls into the premature optimization category.

Just drafting table hinges hardware optimization it it in the core if not already enabled and sometimes it saves you a couple hrdware cycles, most of the time it doesnt, and depending on the implementation, it can cost more cycles than it saves. Like a cache it has to do with the hits vs misses, if it guesses right you have code in a faster ram sooner on its way to the pipe, if it guesses wrong you have burned bus cycles that could have been used by code that was going to be run.

Caching is usually a hatdware although not hard to write high level code that shows it costing performance instead of saving as code usually runs linearly for some number of instructions before branching. Likewise data is accessed in order often enough to overcome the penalties. Branching is not something we do every instruction and where we dafting to does not have drafting table hinges hardware optimization common answer. Your backend could try to tune for branch prediction by drafting table hinges hardware optimization the pre-branch decisions happen a few cycles before the branch but all within a pipe size and tuned for fetch line or cache line alignments.

Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams? Learn more. Optimizing branch predictions: how to generalize code that could run wth different compiler, interperter, and hardware prediction? Ask Question. Asked 5 years, 2 months ago. Active 5 years, 1 month ago. Viewed 2k times. This is a bit broad. Very generally, analyze and get an average of the drafting table hinges hardware optimization it'll run on and try to optimize from that.

I wouldn't target an interpreted language, as these have "hidden overhead" that may involve branches on which you have no control. About the only "portable" drafting table hinges hardware optimization you can take is to avoid conditional branches when you can.

See stackoverflow. Add a comment. Active Oldest Votes. Short answer: To help improve the performance of the branch predictor try to structure your program so that conditional statements don't depend on apparently drafting table hinges hardware optimization data. Details One of the other answers to this question claims: There is no way to do anything at the high level language to optimize for branch prediction, caching sure, sometimes you can, but branch prediction, no not at all.

Gabriel Southern Gabriel Southern 8, 11 11 gold badges 50 50 silver badges 90 90 bronze badges. One thing you can do in a high-level language is Drafting Table Hinges Hardware Voltage to eliminate branches by expressing the problem in terms of lookups or arithmetic. This helps branch prediction work better on the remaining branches, because there's more "history" available.

I've made huge performance improvements to bottleneck code with this approach. It would have to be straight code, no function calls, very limited as to drafting table hinges hardware optimization math you can do, etc. Sure you can sustain that for a little bit but not extended periods.

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