optimization

问题 I wonder if there is any (noticeable) performance improvement when removing code comments from .php, .js, .css, .html, and similar files? 回答1: Mostly not, modern CPU's are very fast... The most notable improvement is the speed in the download speeds. Strip out any unnecessary comments sent down the wire to the browser, minify CSS, JavaScript files, use CDN's etc. 回答2: It depends how many comments there are. In general though, most developers have a live version of all their code that is

问题 I wonder if there is any (noticeable) performance improvement when removing code comments from .php, .js, .css, .html, and similar files? 回答1: Mostly not, modern CPU's are very fast... The most notable improvement is the speed in the download speeds. Strip out any unnecessary comments sent down the wire to the browser, minify CSS, JavaScript files, use CDN's etc. 回答2: It depends how many comments there are. In general though, most developers have a live version of all their code that is

问题 I am looking for ideas regarding an optimal/minimal structure for the inner render loop in Dart 2, for a 2d game (if that part matters). Clarification / Explanation: Every framework / language has an efficient way to: 1) Deal with time. 2) Render to the screen (via memory, a canvas, an image, or whatever). For an example, here is someone that answered this for the C# language. Being new to Flutter / Dart, my first attempt (below), is failing to work and as of right now, I can not tell where

问题 I am trying to find the minimal distance in the Manhattan metric (x,y). I am searching for information about this. But I haven't found anything. #include<bits/stdc++.h> using namespace std; #define st first #define nd second pair<int, int> pointsA[1000001]; pair<int, int> pointsB[1000001]; int main() { int n, t; unsigned long long dist; scanf("%d", &t); while(t-->0) { dist = 4000000000LL; scanf("%d", &n); for(int i = 0; i < n; i++) { scanf("%d%d", &pointsA[i].st, &pointsA[i].nd); } for(int i

问题 Which is recommended while (reader.Read()) { table.Rows.Add( new object[] { reader[0], reader[1], reader[2], reader[3] } ); table.AcceptChanges(); } or while (reader.Read()) { table.Rows.Add( new object[] { reader[0], reader[1], reader[2], reader[3] } ); } table.AcceptChanges(); Note where the table.AcceptChanges is placed. EDIT 1 Here is the code block: protected void Page_Load(object sender, EventArgs e) { IDataReader reader = cust.GetCustomerOrderSummary("99999"); using (DataSet ds = new

问题 Is it possible to selectively turn -ffast-math on/off during runtime? For example, creating classes FastMath and AccurateMath with the common base class Math, so that one would be able to use both implementations during runtime? Ditto for flashing subnormals to zero, etc. In particular, I don't know whether compiling with -ffast-math would emit an instruction that would, once executed, affect all numerical computations in the thread (for example, setting a flag to flush subnormals to zero).

问题 I'm compiling a native code using cygwin and Windows7. I got many optimization tips on Internet. APP_OPTIM := release ndk-build NDK_DEBUG=0 -DNDEBUG LOCAL_CFLAGS += -O2 But I can't understand exactly how to set these on Application.mk and Android.mk. I tried many cases by applying the above tips. but, I don't think that the optimization is applied in my native code. Application.mk APP_PROJECT_PATH := $(shell pwd) APP_MODULES := native_lib APP_OPTIM := release APP_BUILD_SCRIPT := Android.mk

问题 I'm wondering if any Intel experts out there can tell me the difference between STD and STA with respect to the Intel Skylake core. In the Intel optimization guide, there's a picture describing the "super-scalar ports" of the Intel Cores. Here's the PDF. The picture is on page 40. . Here's another picture from page 78, this picture describes "Store Address" and "Store Data": Prepares the store forwarding and store retirement logic with the address of the data being stored. Prepares the store

问题 I would like to model basic crowd movement with python. I want to show an animation. I have made the following program to test it with matplotlib : import numpy as np import matplotlib.pyplot as plt from matplotlib import animation #size of the crowd N = 100 def gen_data(): """ init position and speed of each people """ x = y = np.zeros(N) theta = np.random.random(N) * 360 / (2 * np.pi) v0 = 0.1 vx, vy = v0 * np.cos(theta), v0 * np.sin(theta) return np.array([x, y, vx, vy]).T def init(): for

问题 I am using a CFD code (for computational fluid dynamic). I recently had the chance to see Intel Compiler using SSE in one of my loops, adding a nearly 2x factor to computation performances in this loop. However, the use of SSE and SIMD instructions seems more like luck. Most of the time, the compiler do nothing. I am then trying to force the use of SSE, considering that AVX instructions will reinforce this aspect in the near future. I made a simple 1D heat transfer code. It consist of two