performance

问题 I have seen that sometimes the performance of LINQ to Objects queries can be improved significantly if they forced to execute immediately by using .ToArray() , but can't quite understand why. For example, in the sample below, the execution of the function Deferred() is much slower than the function Immediate() , and grows exponentially with the value of limit (perhaps it was exponential in both functions, but execution time with Immediate() was too little for me to say definitively). public

问题 I have seen that sometimes the performance of LINQ to Objects queries can be improved significantly if they forced to execute immediately by using .ToArray() , but can't quite understand why. For example, in the sample below, the execution of the function Deferred() is much slower than the function Immediate() , and grows exponentially with the value of limit (perhaps it was exponential in both functions, but execution time with Immediate() was too little for me to say definitively). public

问题 I have seen that sometimes the performance of LINQ to Objects queries can be improved significantly if they forced to execute immediately by using .ToArray() , but can't quite understand why. For example, in the sample below, the execution of the function Deferred() is much slower than the function Immediate() , and grows exponentially with the value of limit (perhaps it was exponential in both functions, but execution time with Immediate() was too little for me to say definitively). public

问题 I need to measure the performance of a React Native app. What's the best tool for this? I try google trace in google chrome, and Instruments in mac for iOS platform, but these show me a lot of unorganized data. 回答1: I implemented some tools that helped me to check my application's performance, below is the list of the tools: 1) (reactotron) https://github.com/infinitered/reactotron It's the coolest way to get logs of your application(redux actions etc), I have integrated this tool in my

问题 I need to measure the performance of a React Native app. What's the best tool for this? I try google trace in google chrome, and Instruments in mac for iOS platform, but these show me a lot of unorganized data. 回答1: I implemented some tools that helped me to check my application's performance, below is the list of the tools: 1) (reactotron) https://github.com/infinitered/reactotron It's the coolest way to get logs of your application(redux actions etc), I have integrated this tool in my

问题 I need to measure the performance of a React Native app. What's the best tool for this? I try google trace in google chrome, and Instruments in mac for iOS platform, but these show me a lot of unorganized data. 回答1: I implemented some tools that helped me to check my application's performance, below is the list of the tools: 1) (reactotron) https://github.com/infinitered/reactotron It's the coolest way to get logs of your application(redux actions etc), I have integrated this tool in my

问题 I have a program written in C++ that runs a number of for loops per second without using anything that would make it wait for any reason. It consistently uses 2-10% of the CPU. Is there any way to force it to use more of the CPU and do a greater number of calculations without making the program more complex? Additionally, I compile with C::B on a Windows computer. Essentially, I'm asking whether there is a way to make my program faster by increasing usage of CPU, and if so, how. 回答1: Assuming

问题 I have a program written in C++ that runs a number of for loops per second without using anything that would make it wait for any reason. It consistently uses 2-10% of the CPU. Is there any way to force it to use more of the CPU and do a greater number of calculations without making the program more complex? Additionally, I compile with C::B on a Windows computer. Essentially, I'm asking whether there is a way to make my program faster by increasing usage of CPU, and if so, how. 回答1: Assuming

问题 I am new to tensorflow. The following code can run successfully, without any error. In the first 10 lines of output, the computation is fast, and the output (defined in the last line) flies line by line. However, as the iteration goes up, the computation become slower and slower, and finally become intolerable. So I wonder whether there are any modifications that can speed this up. Here is a brief description of this code: This code apply the single hidden-layer neural network to the dataset.

问题 How significant is the performance overhead of type-hinting in PHP - is it significant enough to be a consideration in the decision to use it or not? 回答1: No, it's not significant. If you need to do something algorithmically intensive, like sound-processing or 3D-programming, you should use another programming language. if you want hard data, make a benchmark... <?php function with_typehint(array $bla) { if(count($bla) > 55) { die("Array to big"); } } function dont_typehint($bla) { if(count(