jit

Variable is not incrementing in C# Release x64

由 丶灬走出姿态 提交于 2019-12-08 17:01:56
问题 Could someone explain to me why this piece of code is doing well when I execute it on a x86 platform and why it fail on x64 ? Results : x86 Debug : 12345678910 x64 Debug : 12345678910 x86 Release : 12345678910 x64 Release : 1111111111 If I change something, like removing one of the unused variables, or if I remove the useless for-loop after p_lFirstId++, the strange behavior disappear. I found that changing "pdb-only" to "full" in my release configuration, it's work again. If you run the code

Disable JIT in Drools 6.2 with Java 8

由 最后都变了- 提交于 2019-12-08 16:41:34
We are working with Drools version 6.2.0.Final for parsing some of our rules. But sometimes when we have a lot of runs, Drools invokes the JIT compiler which is causing failures. We have this covered in our Junit tests and we are getting the following error java.lang.NoSuchMethodError: org.mvel2.compiler.BlankLiteral.<init>(Ljava/lang/String;)V at ConditionEvaluatoref4dc802b6174038b0307f5e6196e229.evaluate(Unknown Source) at org.drools.core.rule.constraint.MvelConstraint.evaluate(MvelConstraint.java:248) at org.drools.core.rule.constraint.MvelConstraint.isAllowed(MvelConstraint.java:204) at

Hot recompilation for C++

由 人盡茶涼 提交于 2019-12-08 16:07:12
问题 I was recently amazed to see Java code being automatically recompiled and injected into a running program. Since modern C++ compilers (eg. LLVM-based) start investigating JIT compilation, I am wondering if there is any work made on this topic. Update: By "hot recompilation", I mean editing the code, recompiling a specific part of the executable and running it without restarting the program. The common use case would be a game engine with an infinite loop where you would edit some code in the

Usage of parallel option in numba.jit decoratior makes function give wrong result

由 风流意气都作罢 提交于 2019-12-07 22:58:34
问题 Given two opposite corners of a rectangle (x1, y1) and (x2, y2) and two radii r1 and r2 , find the ratio of points that lie between the circles defined by the radii r1 and r2 to the total number of points in the rectangle. Simple NumPy approach: def func_1(x1,y1,x2,y2,r1,r2,n): x11,y11 = np.meshgrid(np.linspace(x1,x2,n),np.linspace(y1,y2,n)) z1 = np.sqrt(x11**2+y11**2) a = np.where((z1>(r1)) & (z1<(r2))) fill_factor = len(a[0])/(n*n) return fill_factor Next I tried to optimize this function

.NET assembly cache / ngen / jit image warm-up and cool-down behavior

由 隐身守侯 提交于 2019-12-07 21:48:35
问题 I have an Input Method (IME) program built with C#.NET 2.0 DLL through C++/CLI. Since an IME is always attaching to another application, the C#.NET DLL seems not able to avoid image address rebasing. Although I have applied ngen to create a native image of that C#.NET 2.0 DLL and installed it into Global Assembly Cache, it didn't improved much, approximately 12 sec. down to 9 sec. on a slow PIII level PC. Therefore I uses a small application, which loads all the components referenced by the C

Can java inline a large method if the most of it would be dead code at the call site?

由 ￣綄美尐妖づ 提交于 2019-12-07 17:49:22
问题 I know that one of the criteria that Java HotSpot uses to decide whether a method is worth inlining is how large it the method is. On one hand, this seems sensible: if the method is large, in-lining leads to code bloat and the method would take so long to execute that the call overhead is trivial. The trouble with this logic is that it might turn out that AFTER you decide to inline, it becomes clear that for this particular call-site, most of the method is dead code. For instance, the method

Octave JIT compiler. Current state, and minimal example demonstrating effect

由 妖精的绣舞 提交于 2019-12-07 16:23:33
问题 I hear very conflicting information about Octave's experimental JIT compiler feature, ranging from "it was a toy project but it basically doesn't work" to "I've used it and I get a significant speedup". I'm aware that in order to use it successfully one needs to Compile octave with the --enable-jit at configure time Launch octave with the --jit-compiler option Specify jit compilation preference at runtime using jit_enable and jit_startcnt commands but I have been unable to reproduce the

Running 32 bit app using 32 bit com on a 64 bit Windows machine

由 我的未来我决定 提交于 2019-12-07 13:38:34
问题 I have a C# application using C++ COM object both build on a 32 bit machine. Now I have to run them on a 64 bit machine. I registered the COM object. A corresponding entry was created in the register under computer\hkey_classes_root\wow6432node\clsid{xxx}. However, when I try to run the application it says that |"Retrieving the COM class factory for component with CLSID {xxx} failed due to the following error: 80040154.". As I understand, the error code means that the class is not registered.

No JIT Optimization

由 邮差的信 提交于 2019-12-07 12:31:59
问题 Have a look at this question : The code: class test { public static void main(String abc[]) { for( int k=1; k<=3; k++) { for( int N=1; N<=1_000_000_000; N=N*10) { long t1 = System.nanoTime(); int j=1; for(int i=0; i<=N; i++) j=j*i; long t2 = System.nanoTime() - t1; System.out.println("Time taken for "+ N + " : "+ t2); } } } } The output of above code: Time taken for 1 : 2160 Time taken for 10 : 1142 Time taken for 100 : 2651 Time taken for 1000 : 19453 Time taken for 10000 : 407754 Time taken

【整理】Python之JIT、Django、Greenlet和Stackless

由 China☆狼群 提交于 2019-12-07 04:16:31
【JIT】 即时编译(Just-in-time compilation)，又称为动态编译，是一种提高程序运行效率的方法。 通常程序有两种编译方式：静态编译与动态编译（直译）。在静态编译中，程序在执行前全部被翻译为机器码，而动态直译则是边运行边翻译。 即时编译器则混合了这二者，一句一句编译源代码，但是会将翻译过的代码缓存起来以降低性能损耗。相对于静态编译代码，即时编译的代码可以处理延迟绑定并增强安全性。即时编译器有两种类型，一是字节码翻译，二是动态编译翻译。 另外，一般来讲编译执行比解释执行要快，但是编译之后又不能跨平台，那我们就到目标平台上去，先编译再执行，这样就比纯解释要快了。这种编译是在“运行”的时候自动进行的，所以叫即时编译（JIT）。 【 Django 】 Django是一个开放源代码的Web应用框架，由Python写成。采用了MVC(Model View Controller)的设计模式，M是指数据模型，V是指用户界面，C则是控制器。 它最初是被开发来用于管理劳伦斯出版集团旗下的一些以新闻内容为主的网站的。并于2005年7月在BSD许可证下发布。这套框架是以比利时的吉普赛爵士吉他手Django Reinhardt来命名的。 Django的主要目标是使得开发复杂的、数据库驱动的网站变得简单。Django注重组件的重用性和“可插拔性”，敏捷开发和DRY(Don't
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