jit

问题 Just kick started with Angular 2. What are the various Bootstrapping options in angular 2? Why is that when I make a change and refresh the index.html takes little time to retrieve the HTML markups? Differences between them 回答1: There are two options Dynamic bootstrapping compiler used JIT (Just in Time). dynamically compiles the ts files in the browser. this is the reason the index.html takes little time to retrieve the markups. main.ts contains the following import { platformBrowserDynamic

问题 Just kick started with Angular 2. What are the various Bootstrapping options in angular 2? Why is that when I make a change and refresh the index.html takes little time to retrieve the HTML markups? Differences between them 回答1: There are two options Dynamic bootstrapping compiler used JIT (Just in Time). dynamically compiles the ts files in the browser. this is the reason the index.html takes little time to retrieve the markups. main.ts contains the following import { platformBrowserDynamic

问题 What is the effect of the "Suppress JIT optimization on module load" debugging option? I have recently had to turn it off to deal to be able to successfully debug an app that uses a COM component. What do I risk by turning it off? 回答1: Suppressing JIT optimization means you are debugging non-optimized code. The code runs a bit slower because it is not optimized, but your debugging experience is much more thorough. Debugging optimized code is harder and recommended only if you encounter a bug

问题 I'm going JIT code generation, and I want to insert invalid opcodes into the stream in order to perform some meta-debugging. Everything is fine and good until it hits the instruction, at which point the thing goes into an infinite loop of illegal instruction to signal handler and back. Is there any way I can set the thing to simply skip the bad instruction? 回答1: It's very hacky and UNPORTABLE but: void sighandler (int signo, siginfo_t si, void *data) { ucontext_t *uc = (ucontext_t *)data; int

问题 I'm going JIT code generation, and I want to insert invalid opcodes into the stream in order to perform some meta-debugging. Everything is fine and good until it hits the instruction, at which point the thing goes into an infinite loop of illegal instruction to signal handler and back. Is there any way I can set the thing to simply skip the bad instruction? 回答1: It's very hacky and UNPORTABLE but: void sighandler (int signo, siginfo_t si, void *data) { ucontext_t *uc = (ucontext_t *)data; int

问题 I've been benchmarking my app and analyzing it with JMC. I've noticed that under load, it performs quite a bit of JIT compiling. If I send a large amount of transactions per second, the compile time spikes. The compile time always grows proportionally with any heavy load test against the app. I've also observed that the Code Cache slowly rises as well. So I decided to raise the Code Cache reserve to 500MB to test. Bad move! Now it's spending even more time performing JIT. Then I explicitly

问题 Does CUDA support JIT compilation of a CUDA kernel? I know that OpenCL offers this feature. I have some variables which are not changed during runtime (i.e. only depend on the input file), therefore I would like to define these values with a macro at kernel compile time (i.e at runtime). If I define these values manually at compile time my register usage drops from 53 to 46, what greatly improves performance. 回答1: If it is feasible for you to use Python, you can use the excellent pycuda

问题 I'm reading up some material on whether Java can be faster than C++, and came across the following quote: Java can be faster than C++ because JITs can inline over virtual function boundaries. Why Java Will Always Be Slower than C++ (wayback link) What does this mean? Does it mean that the JIT can inline virtual function calls (because presumably it has access to run time information) whereas C++ must call the function through its vtable? 回答1: The answer to your question is Yes: that is what

问题 I'm trying to use numba to boost the python performance of scipy.integrate.odeint. To this end, I have to use @nb.jit(nopython=True) for the function defining the ODE system. However, this function has to take another python-class instance as an argument in my program. I had to jit the class also with @nb.jitclass(spec) with appropriate specs. This worked fine, until I found a serious issue when the specs of the class includes another type of class instance as its method. My code is following

问题 I've written a very simple class in C#: class DisposableClass : IDisposable { public void Dispose() { } } static void UsingClass() { // line 31 using (var dc = new DisposableClass()) { // line 32 DoSomething(dc); // line 33 } // line 34 } // line 35 I've dumped the native code after JIT with WinDBG for it: 0:000> !u 000007fe87d30120 Normal JIT generated code SimpleConsole.Program.UsingClass() Begin 000007fe87d30120, size 80 c:\projects\SimpleConsole\SimpleConsole\Program.cs @ 32: >>> 000007fe