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  • What simple techniques do you use to improve performance?

    - by Cristian
    I'm talking about the way we write simple routines in order to improve performance without making your code harder to read... for instance, this is the typical for we learned: for(int i = 0; i < collection.length(); i++ ){ // stuff here } But, I usually do this when a foreach is not applicable: for(int i = 0, j = collection.length(); i < j; i++ ){ // stuff here } I think this is a better approach since it will call the length method once only... my girlfriend says it's cryptic though. Is there any other simple trick you use on your own developments?

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  • Performance of "returning" from a Try block

    - by Mystagogue
    Exception handling on Windows boxes (at least for C++) takes a performance hit if you exit a try block prematurely (such as executing a return statement) the same as if an exception were thrown. But what about C#? Is there a performance hit for returning prematuraly from a try block, whether through a return statement or break statement?

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  • Java marshaller performance

    - by cbz
    Hi, I've used JAXB Marshaller as well as my own marshaller for marshalling pure java bean objects into XML. It has been observed that both of them require almost same time to marshal. The performance is not acceptable and needs to be improved. What are possible ways where we can improve performance of marshaller? Like threading?

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  • mysql datetime performance

    - by praksant
    Hi, since in mysql datetime field is represented as string (i'm not sure how it works internally), wouldn't be from performance point of view faster to store date as unix timestamp? I don't need to use any mysql native date functions, i'm going for performance of sorting and selecting data. if there was an index for that column, would be difference between int and datetime? Thank you

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  • Is Java much harder to "tweak" for performance compared with C/C++?

    - by user997112
    Does the "magic" of the JVM hinder the influence a programmer has over micro-optimisations in Java? I recently read in C++ sometimes the ordering of the data members can provide optimizations (granted, in the microsecond environment) and I presumed a programmer's hands are tied when it comes to squeezing performance from Java? I appreciate a decent algorithm provides greater speed-gains, but once you have the correct algorithm is Java harder to tweak due to the JVM control? If not, could people give examples of what tricks you can use in Java (besides simple compiler flags).

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  • Is slower performance, of programming languages, really, a bad thing?

    - by Emanuil
    Here's how I see it. There's machine code and it's all that computers needs in order to run something. Computers don't care about programming languages. It doesn't matter to them whether the machine code comes from Perl, Python or PHP. Programming languages don't serve computers. They serve programmers. Some programming languages run slower than others but that's not necessarily because there is something wrong with them. In many cases, it's because they do more things that programmers would otherwise have to do (i.e. memory management) and by doing these things, they are better in what they are supposed to do - serve programmers. So, is slower performance, of programming languages, really, a bad thing?

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  • How does Android emulator performance compare to real device performance?

    - by uj2
    I'm looking into writing an Android game, tough I don't curerntly own an Android device. For those of you who own a device, how does the performance on the emulator relate to real device performance? I'm especially interested in graphics related tasks. This obviously depends on both the machine running the emulator, and the specific device in question, but I'm talking rough numbers here. This question is a duplicate, but since that post is heavily outdated, I figured it's irrelevant by now.

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  • JVM performance test suite

    - by pierr
    Hi, I have just ported phoneME to our MIPS platform. I feel it runs not that fast; however, is there any performance test suite I can run against to get some quantitative measurement of the performance? I might need to pick some weak points for optimization. In addition, what are common criterions used to evalute a JVM ?

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  • Combining two UPDATE Commands - Performance ?

    - by Johannes
    If I want to update two rows in a MySQL table, using the following two command: UPDATE table SET Col = Value1 WHERE ID = ID1 UPDATE table SET Col = Value2 WHERE ID = ID2` I usually combine them into one command, so that I do not to have to contact the MySQL server twice from my C client: UPDATE table SET Col = IF( ID = ID1 , Value1 , Value2) WHERE ID=ID1 OR ID=ID2 Is this really a performance gain? Background Information: I am using a custom made fully C written high-performance heavily loaded webserver.

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  • Project Performance Evaluation and Finding Weak Areas

    - by pramodc84
    I'm working in J2EE web project, which has lots of Java, SQL scripts, JS, AJAX stuff. Its been 5 years for project still running fine. I have assigned with work of performance evaluation on the project as there might be some memory usage issues, DB fetching logic delays and other similar weak performance areas. From where should I begin? Any best practices to make project better?

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  • How to cache queries in EJB and return result efficient (performance POV)

    - by Maxym
    I use JBoss EJB 3.0 implementation (JBoss 4.2.3 server) At the beginning I created native query all the time using construction like Query query = entityManager.createNativeQuery("select * from _table_"); Of couse it is not that efficient, I performed some tests and found out that it really takes a lot of time... Then I found a better way to deal with it, to use annotation to define native queries: @NamedNativeQuery( name = "fetchData", value = "select * from _table_", resultClass=Entity.class ) and then just use it Query query = entityManager.createNamedQuery("fetchData"); the performance of code line above is two times better than where I started from, but still not that good as I expected... then I found that I can switch to Hibernate annotation for NamedNativeQuery (anyway, JBoss's implementation of EJB is based on Hibernate), and add one more thing: @NamedNativeQuery( name = "fetchData2", value = "select * from _table_", resultClass=Entity.class, readOnly=true) readOnly - marks whether the results are fetched in read-only mode or not. It sounds good, because at least in this case of mine I don't need to update data, I wanna just fetch it for report. When I started server to measure performance I noticed that query without readOnly=true (by default it is false) returns result with each iteration better and better, and at the same time another one (fetchData2) works like "stable" and with time difference between them is shorter and shorter, and after 5 iterations speed of both was almost the same... The questions are: 1) is there any other way to speed query using up? Seems that named queries should be prepared once, but I can't say it... In fact if to create query once and then just use it it would be better from performance point of view, but it is problematic to cache this object, because after creating query I can set parameters (when I use ":variable" in query), and it changes query object (isn't it?). well, is here any way to cache them? Or named query is the best option I can use? 2) any other approaches how to make results retrieveng faster. I mean, for instance I don't need those Entities to be attached, I won't update them, all I need is just fetch collection of data. Maybe readOnly is the only available way, so I can't speed it up, but who knows :) P.S. I don't ask about DB performance, all I need now is how not to create query all the time, so use it efficient, and to "allow" EJB to do less job with the same result concerning data returning.

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  • HTML 5 Canvas performance

    - by Vilius
    Hello there! I'm just started on playing around with the canvas HTML5-object. For the sake of performance tests, I have made a little ping pong game (http://bit.ly/arTPut). Apart from my quick'n'dirty programming skills, I believe, that there are also some performance boosts, I haven't used. Especially, the ball seams to be blue with a little red-touch, but by my decleration it should be yellow. Would be very nice, if someone could help me! Greetings, Vilius

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  • Performance impact of not implementing relationships at the database level?

    - by JVerstry
    Let's imagine a data model with customers and invoices. There is a 1 to n relationship between a customer and its invoices. We uses an ORM (like Hibernate). One can explicitely implement the 1-n relationship (using JPA for example) or not. If not, then one must do a bit more work to fetch invoices. However, it is much easier to maintain, improve and develop the data model of applications where relationships between objects are not explicitely implemented in the database. My question is, has anyone noticed a significant performance impact when not implementing the relationships in the database?

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  • SQL INSERT performance omitting field names?

    - by Marco Demaio
    Does anyone knows if removing the field names from an INSERT query results in some performance improvements? I mean is this: INSERT INTO table1 VALUES (value1, value2, ...) faster for DB to be accomplished rather than doing this: INSERT INTO table1 (field1, field2, ...) VALUES (value1, value2, ...) ? I know it might be probably a meaningless performance difference, but just to know.

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  • Performance Cost of a Memcopy in C/C++

    - by Cenoc
    So whenever I write code I always think about the performance implications. I've often wondered, what is the "cost" of using a memcopy relative to other functions in terms of performance? For example, I may be writing a sequence of numbers to a static buffer and concentrate on a frame within the buffer, in order to keep the frame once I get to the end of the buffer, I might memcopy all of it to the beginning OR I can implement an algorithm to amortize the computation.

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  • C: performance of assignments, binary operations, et cetera...

    - by Shinka
    I've heard many things about performance in C; casting is slow compared to normal assignments, functional call is slow, binary operation are much faster than normal operations, et cetera... I'm sure some of those things are specific to the architecture, and compiler optimization might make a huge difference, but I would like to see a chart to get a general idea what I should do and what I should avoid to write high-performance programs. Is there such a chart (or a website, a book, anything) ?

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  • What kind of performance issues does multiple instances of the exact same object have on a game?

    - by lggmonclar
    I'm fairly new to programming, and I've pretty much learned all the things I know on the go, while working on projects. The problem is that there some things that I just don't know where to begin searching. My question is about performance, and how can multiple instances of the same object affect it -- Specifically, I'm talking about XNA's "GraphicsDevice" class. I have it instanced on four different parts of my game, and in three of those, the object has the exact same values for all the attributes. So, in that case, should I be using the same instance of GraphicsDevice, passing it as a parameter, even if I use it in different classes? I apologize if the question seems redundant, but like I said, I've taught myself most of what I know, so there are quite a few "holes" in my learning process.

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  • Algorithm performance

    - by william007
    I am testing an algorithm for different parameters on a computer. I notice the performance fluctuates for each parameters. Say I run for the first time I got 20 ms, second times I got 5ms, third times I got 4ms: But the algorithm should work the same for these 3 times. I am using stopwatch from C# library to count the time, is there a better way to measure the performance without subjecting to those fluctuations?

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  • ANTS Performance Profiler 7.0 has been released!

    - by Michaela Murray
    Please join me in welcoming ANTS Performance Profiler 7 to the world of .NET. ANTS Performance Profiler is a .NET code profiling tool. It lets you identify performance bottlenecks within minutes and therefore enables you to optimize your application performance. Version 7.0 includes integrated decompilation: when profiling methods and assemblies with no source code file, you can generate source code right from the profiler interface. You can then browse and navigate this automatically generated source as if it was your own. If you have an assembly's PDB file but no source, integrated decompilation even lets you view line-level timings for each method, pinpointing the exact cause of performance bottlenecks. Integrated decompilation is powered by .NET Reflector, but you don't need Reflector installed to use the functionality. Watch this video to see it in action. Also new in ANTS Performance Profiler 7.0: · Full support for SharePoint 2010 - No need to manually configure profiling for the latest version of SharePoint · Full support for IIS Express · Azure and Amazon EC2 support, enabling you to profile in the cloud Please click here, for more details about the ANTS Performance Profiler 7.0.

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  • RAM caching causes severe performance drops

    - by B T
    I have read plenty of threads on memory caching and the standard response of "large cache is good, it shouldn't effect performance", "the kernel knows best". I have recently upgraded from 12.04 to 12.10 and changed from VirtualBox to VMware Workstation and the performance differences are severe (I suspect it is because of the latter). When I am running my virtual machine the system load monitor graph shows less than 50% memory usage generally. System load indicator is showing me that the rest of my RAM is used in the cache all the time. Plain and simple this is the comparison: BEFORE Cache was very sparingly used, pretty much none of my memory usage was the cache Swappiness was 0 (caused my memory to be used first, then swap only if needed) Performance was quite good and logical RAM was used fully first, caching was minimal. I could run enough software to utilize my full 4GB of RAM without any performance degradation whatsoever Swap space was then used as needed which was obviously slower (I am on a HDD) but was still usable when the current program was loaded into memory AFTER Cache is used to fill the full 4GB as soon as my virtual machine is run Swappiness is 0 (same behaviour as before but cache uses full memory straight away) Performance is terrible and unusable while running Ubuntu software Basic things like changing windows takes 2 minutes + Changing screens happens frame by frame over sometimes up to 5 minutes Cannot run an IDE and VM like I could with ease before So basically, any suggestions on how to take my performance back to how it was before while keeping my current setup? My suspicion is VMWare is the problem, but how do I see what is tied to the use of the cache? Surely there is a way to control this behaviour in software as polished as VMware? Thanks EDIT: Could also be important to note that the behaviour differs depending on whether VMware is open or closed. If VMware is open, then the ram will lock at like 50% and 50% cache and go into the complete lock up mentioned above. Contrastingly, if VMware is closed (after being open), then the RAM will continue to rise as it needs / cache will stay as the complete remaining memory and there is no noticeable performance degradation.

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  • C# performance analysis- how to count CPU cycles?

    - by Lirik
    Is this a valid way to do performance analysis? I want to get nanosecond accuracy and determine the performance of typecasting: class PerformanceTest { static double last = 0.0; static List<object> numericGenericData = new List<object>(); static List<double> numericTypedData = new List<double>(); static void Main(string[] args) { double totalWithCasting = 0.0; double totalWithoutCasting = 0.0; for (double d = 0.0; d < 1000000.0; ++d) { numericGenericData.Add(d); numericTypedData.Add(d); } Stopwatch stopwatch = new Stopwatch(); for (int i = 0; i < 10; ++i) { stopwatch.Start(); testWithTypecasting(); stopwatch.Stop(); totalWithCasting += stopwatch.ElapsedTicks; stopwatch.Start(); testWithoutTypeCasting(); stopwatch.Stop(); totalWithoutCasting += stopwatch.ElapsedTicks; } Console.WriteLine("Avg with typecasting = {0}", (totalWithCasting/10)); Console.WriteLine("Avg without typecasting = {0}", (totalWithoutCasting/10)); Console.ReadKey(); } static void testWithTypecasting() { foreach (object o in numericGenericData) { last = ((double)o*(double)o)/200; } } static void testWithoutTypeCasting() { foreach (double d in numericTypedData) { last = (d * d)/200; } } } The output is: Avg with typecasting = 468872.3 Avg without typecasting = 501157.9 I'm a little suspicious... it looks like there is nearly no impact on the performance. Is casting really that cheap?

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